CN116992988A - Method, device, electronic equipment and computer readable medium for splitting freight volume - Google Patents
Method, device, electronic equipment and computer readable medium for splitting freight volume Download PDFInfo
- Publication number
- CN116992988A CN116992988A CN202210423430.9A CN202210423430A CN116992988A CN 116992988 A CN116992988 A CN 116992988A CN 202210423430 A CN202210423430 A CN 202210423430A CN 116992988 A CN116992988 A CN 116992988A
- Authority
- CN
- China
- Prior art keywords
- waybill
- splitting
- volume
- bill
- freight
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000000034 method Methods 0.000 title claims abstract description 73
- 238000012546 transfer Methods 0.000 claims description 35
- 238000006243 chemical reaction Methods 0.000 claims description 33
- 238000012545 processing Methods 0.000 claims description 27
- 230000004044 response Effects 0.000 claims description 22
- 238000004088 simulation Methods 0.000 claims description 19
- 238000004590 computer program Methods 0.000 claims description 9
- 238000002716 delivery method Methods 0.000 claims 2
- 230000008569 process Effects 0.000 description 10
- 238000010586 diagram Methods 0.000 description 9
- 238000004891 communication Methods 0.000 description 6
- 230000006870 function Effects 0.000 description 6
- 238000013527 convolutional neural network Methods 0.000 description 4
- 230000000694 effects Effects 0.000 description 4
- 238000000605 extraction Methods 0.000 description 4
- 238000013528 artificial neural network Methods 0.000 description 3
- 230000003287 optical effect Effects 0.000 description 3
- 241001494479 Pecora Species 0.000 description 2
- 230000008901 benefit Effects 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 230000004927 fusion Effects 0.000 description 2
- 230000006872 improvement Effects 0.000 description 2
- 238000007726 management method Methods 0.000 description 2
- 230000000644 propagated effect Effects 0.000 description 2
- 230000000306 recurrent effect Effects 0.000 description 2
- 235000005206 Hibiscus Nutrition 0.000 description 1
- 235000007185 Hibiscus lunariifolius Nutrition 0.000 description 1
- 241001075721 Hibiscus trionum Species 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 239000000835 fiber Substances 0.000 description 1
- 239000004973 liquid crystal related substance Substances 0.000 description 1
- 239000013307 optical fiber Substances 0.000 description 1
- 239000004576 sand Substances 0.000 description 1
- 230000001932 seasonal effect Effects 0.000 description 1
- 239000004065 semiconductor Substances 0.000 description 1
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/04—Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/08—Logistics, e.g. warehousing, loading or distribution; Inventory or stock management
- G06Q10/083—Shipping
Landscapes
- Business, Economics & Management (AREA)
- Engineering & Computer Science (AREA)
- Human Resources & Organizations (AREA)
- Economics (AREA)
- Strategic Management (AREA)
- Entrepreneurship & Innovation (AREA)
- Quality & Reliability (AREA)
- Development Economics (AREA)
- Marketing (AREA)
- Operations Research (AREA)
- Tourism & Hospitality (AREA)
- Physics & Mathematics (AREA)
- General Business, Economics & Management (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Game Theory and Decision Science (AREA)
- Educational Administration (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
Embodiments of the present disclosure disclose a waybill splitting method, apparatus, electronic device, and computer readable medium. One embodiment of the method comprises the following steps: generating a waybill and article circulation quantity information of each day in a preset time period to obtain a waybill and article circulation quantity information set; obtaining a total freight volume set; splitting each total freight bill in the total freight bill volume set to generate a sorting center freight bill volume group, a transportation route freight bill volume group and a third-level address freight bill volume group, and obtaining a sorting center freight bill volume group set, a transportation route freight bill volume group set and a third-level address freight bill volume group set; and summarizing and splitting each third-level address waybill quantity group in the third-level address waybill quantity group set to obtain a distribution point waybill quantity group set. The embodiment is related to intelligent logistics, and the freight bill quantity in freight bill and article circulation quantity information is split, so that the accuracy and consistency of freight bill quantity in each link are ensured to a certain extent.
Description
Technical Field
Embodiments of the present disclosure relate to the field of computer technology, and in particular, to a method, an apparatus, an electronic device, and a computer readable medium for splitting a waybill.
Background
The waybill quantity estimation is a technology for estimating the waybill quantity of each node in a logistics transportation link and further providing a business quantity reference for each node in logistics ring transportation. At present, when the quantity of the freight bill of each node in the logistics transportation link is estimated, the following modes are generally adopted: and the management personnel of each node in the logistics transportation link independently forecast the quantity of the freight bill in the storage, transportation and distribution links.
However, when the waybill quantity is estimated in the above manner, the following technical problems often exist:
the management personnel of each node independently forecast the quantity of the freight bill, the forecast result is easy to be influenced by human subjective factors, and the independent forecast of the quantity of the freight bill of each node can lead to inconsistent sum of the forecast quantity of the freight bill of each storage node, each transport node and each distribution node in the logistics ring transportation, thereby reducing the accuracy and consistency of the quantity of the freight bill of each link.
Disclosure of Invention
The disclosure is in part intended to introduce concepts in a simplified form that are further described below in the detailed description. The disclosure is not intended to identify key features or essential features of the claimed subject matter, nor is it intended to be used to limit the scope of the claimed subject matter.
Some embodiments of the present disclosure propose a waybill splitting method, apparatus, electronic device, and computer readable medium to solve the technical problems mentioned in the background above.
In a first aspect, some embodiments of the present disclosure provide a waybill splitting method comprising: generating a freight bill and article circulation quantity information of each day in a preset time period by using order data in a first historical time period to obtain a freight bill and article circulation quantity information set, wherein the freight bill and article circulation quantity information in the freight bill and article circulation quantity information set comprises freight bill quantity of a first operation mode, article circulation quantity of each three-level category article of each article circulation unit in a second operation mode and freight bill quantity of a first distribution mode of each third-level address; summarizing the quantity of the shipping slips of the first operation mode, the quantity of the article transfer of each third-level category article of each article transfer unit of the second operation mode and the quantity of the shipping slips of the first delivery mode of each third-level address in each shipping slip and article transfer quantity information set to generate total shipping slip quantity, so as to obtain a total shipping slip quantity set; splitting each total freight bill in the total freight bill volume set according to the pre-generated freight bill splitting proportion of each first-last sorting flow direction and the freight bill splitting proportion of each third-level address to generate a sorting center freight bill volume group, a transportation route freight bill volume group and a third-level address freight bill volume group, so as to obtain a sorting center freight bill volume group set, a transportation route freight bill volume group set and a third-level address freight bill volume group set; and according to the pre-generated waybill splitting proportion information of each distribution point, summarizing and splitting each third-level address waybill quantity group in the third-level address waybill quantity group set to obtain the distribution point waybill quantity group set.
Optionally, generating the waybill and the item circulation quantity information of each day in the preset time period by using the order data in the first historical time period to obtain the waybill and the item circulation quantity information set, including: extracting characteristics of order data in the first historical time period to obtain characteristic data; inputting the characteristic data into each prediction model in a preset prediction model pool to obtain each to-be-determined freight list and article flow quantity information set; and determining the freight list and the article circulation quantity information set according to the various freight list and the article circulation quantity information set to be determined.
Optionally, the determining the shipping bill and the article circulation volume information set according to the respective to-be-determined shipping bill and article circulation volume information sets includes: determining a prediction result scoring value of each prediction model in the prediction model pool according to each pre-generated historical to-be-determined freight list and article circulation quantity information set and a pre-acquired reference freight list and article circulation quantity information set corresponding to each historical to-be-determined freight list and article circulation quantity information set; selecting a prediction model with a prediction result score value meeting a preset condition from the prediction model pool as a target prediction model; and selecting the to-be-determined freight list and the article circulation quantity information set output by the target prediction model from the to-be-determined freight list and the article circulation quantity information sets as the freight list and the article circulation quantity information set.
Optionally, the summarizing the waybill quantity of the first operation mode, the item transfer quantity of each third-level category item of each item transfer unit of the second operation mode, and the waybill quantity of the first delivery mode of each third-level address included in each waybill and item transfer quantity information in the waybill and item transfer quantity information set to generate a total waybill quantity includes: summarizing the article circulation quantity of each three-level category article of each article circulation unit adopting a second operation mode, which is included in the freight note and article circulation quantity information, so as to obtain a total article circulation quantity; carrying out bill conversion processing on the total article circulation quantity to obtain a total bill quantity of a second distribution mode under a second operation mode; summarizing the freight bill quantity of the first delivery mode of each third-level address included in the freight bill and article circulation quantity information to obtain the total freight bill quantity of the first delivery mode; and determining the sum of the amount of the bill of the first operation mode, the total amount of the bill of the second distribution mode in the second operation mode and the total amount of the bill of the first distribution mode as the total amount of the bill.
Optionally, the summarizing the article circulation amounts of the three-level articles of each article circulation unit adopting the second operation mode included in the manifest and article circulation amount information to obtain a total article circulation amount includes: the article circulation quantity of the articles of each third-level category of each article circulation unit adopting the second operation mode is summarized step by utilizing the hierarchical corresponding relation among each third-level category, each second-level category and each first-level category, wherein the freight bill and the article circulation quantity information comprises the article circulation quantity of the articles of each third-level category adopting the second operation mode, so that the article circulation quantity of the articles of each first-level category is obtained; and determining the sum of the article circulation amounts of the articles of the first class as the total article circulation amount.
Optionally, the performing a bill conversion process on the total article circulation amount to obtain a total bill amount of the second distribution mode in the second operation mode includes: splitting the total article circulation quantity according to the article circulation quantity splitting proportion of each warehouse, which is generated in advance, so as to obtain the article circulation quantity corresponding to each warehouse; converting the article flow quantity corresponding to each warehouse into a second delivery mode freight bill quantity according to the freight bill conversion proportion of each warehouse generated in advance, and obtaining a second delivery mode freight bill quantity set; and determining the sum of the second delivery mode waybill volumes in the second delivery mode waybill volume set as the total waybill volume of the second delivery mode under the second operation mode.
Optionally, the summarizing the quantity of the waybills in the first delivery mode of each third-level address included in the quantity information of the waybills and the item flows to obtain a total quantity of the waybills in the first delivery mode, including: step-by-step summarizing the freight bill quantity of the first delivery mode of each third-level address included in the freight bill and article flow quantity information by utilizing the hierarchical corresponding relation among each third-level address, each second-level address and each first-level address to obtain the freight bill quantity of the first delivery mode of each first-level address article; and determining the sum of the freight bill volumes of the first delivery modes of the first-level address objects as the total freight bill volume of the first delivery modes.
Optionally, the splitting processing is performed on each total freight bill in the total freight bill volume set according to the pre-generated freight bill splitting ratio of each first-last sorting flow direction and the freight bill splitting ratio of each third-level address, so as to generate a sorting center freight bill volume group, a transportation route freight bill volume group and a third-level address freight bill volume group, which includes: splitting the total freight bill volume by utilizing the freight bill splitting proportion of each head-end sorting flow direction to obtain a sorting center freight bill volume group and a transportation route freight bill volume group; and splitting the total freight bill volume by utilizing the freight bill splitting proportion of each third-level address to obtain a third-level address freight bill volume group.
Optionally, the splitting processing is performed on the total freight bill volume by using the freight bill splitting ratio of each first-last sorting flow direction to obtain a sorting center freight bill volume group and a transportation route freight bill volume group, including: and in response to determining that the date corresponding to the total freight bill quantity is in the period of insufficient capacity, adjusting the total freight bill quantity to obtain the daily sorting freight bill quantity.
Optionally, the splitting processing is performed on the total freight bill volume by using the freight bill splitting proportion of each first-last sorting flow direction to obtain a sorting center freight bill volume group and a transportation route freight bill volume group, and the method further includes: and determining the total freight list volume as the daily sorting freight list volume in response to determining that the date corresponding to the total freight list volume is outside the time period with insufficient capacity.
Optionally, the splitting processing is performed on the total freight bill volume by using the freight bill splitting proportion of each first-last sorting flow direction to obtain a sorting center freight bill volume group and a transportation route freight bill volume group, and the method further includes: splitting the daily sorted waybill according to the waybill splitting proportion of each head-to-tail sorting flow direction to obtain the waybill quantity of each head-to-tail sorting circuit; and carrying out simulation processing on the freight bill volumes of the first sorting circuit and the last sorting circuit by utilizing pre-configured simulation parameters to obtain a freight bill volume group of a sorting center and a freight bill volume group of a transportation route.
Optionally, before generating the waybill and the item circulation quantity information of each day in the preset time period by using the order data in the first historical time period to obtain the waybill and the item circulation quantity information set, the method further includes: and determining the waybill splitting ratio of each first and last sorting flow direction, the waybill splitting ratio of each third-level address, the waybill splitting ratio information of each delivery point, the object flow splitting ratio of each warehouse and the waybill conversion ratio of each warehouse according to the order data in the second historical time period, wherein the waybill splitting ratio information of each delivery point in the waybill splitting ratio information of each delivery point comprises at least one waybill splitting ratio.
Optionally, the summarizing and splitting processing is performed on each third-level address waybill volume group in the third-level address waybill volume group set according to the waybill splitting proportion information of each pre-generated delivery point, so as to obtain a delivery point waybill volume group set, which includes: summarizing the third-level address waybill volumes in the third-level address waybill volume groups into waybill volumes of the second-level addresses by utilizing the corresponding relation between the third-level addresses and the second-level addresses to obtain the second-level address waybill volume groups; and splitting the second-stage address waybill quantity in the second-stage address waybill quantity group according to the waybill splitting proportion information of each distribution point to obtain the distribution point waybill quantity group.
Optionally, the splitting processing is performed on the second-stage address waybill volume in the second-stage address waybill volume group according to the waybill splitting proportion information of each distribution point to obtain a distribution point waybill volume group, including: and splitting the second-stage address waybill volume in the second-stage address waybill volume group by utilizing the waybill splitting proportion matched with the date corresponding to the second-stage address waybill volume group in the waybill splitting proportion information of each distribution point to obtain the distribution point waybill volume group.
Optionally, the splitting processing is performed on each second-stage address waybill volume in the second-stage address waybill volume group by using a waybill splitting ratio in the waybill splitting ratio information of each delivery point, where the date is matched with the date corresponding to the second-stage address waybill volume group, so as to obtain a delivery point waybill volume group, and the method includes: and in response to determining that the date corresponding to the second-level address waybill quantity group is in the period of insufficient capacity, adjusting each second-level address waybill quantity in the second-level address waybill quantity group to obtain the current day delivery quantity group.
Optionally, the splitting processing is performed on each second-stage address waybill volume in the second-stage address waybill volume group by using a waybill splitting ratio in the waybill splitting ratio information of each delivery point, where the date is matched with the date corresponding to the second-stage address waybill volume group, so as to obtain a delivery point waybill volume group, and the method includes: and determining the second-stage address bill quantity group as a current day delivery quantity group in response to determining that the date corresponding to the second-stage address bill quantity group is outside the period of insufficient capacity.
Optionally, the splitting processing is performed on each second-stage address waybill volume in the second-stage address waybill volume group by using a waybill splitting ratio in the waybill splitting ratio information of each delivery point, where the date is matched with a date corresponding to the second-stage address waybill volume group, so as to obtain a delivery point waybill volume group, and the method further includes: and splitting the current day delivery volume in the current day delivery volume group by utilizing the bill splitting proportion matched with the date corresponding to the second-stage address bill volume group in the bill splitting proportion information of each delivery point to obtain a delivery point bill volume group.
In a second aspect, some embodiments of the present disclosure provide a waybill splitting device, the device comprising: the generating unit is configured to generate the freight bill and the article circulation quantity information of each day in a preset time period by using the order data in the first historical time period to obtain a freight bill and article circulation quantity information set, wherein the freight bill and article circulation quantity information in the freight bill and article circulation quantity information set comprises the freight bill quantity of a first operation mode, the article circulation quantity of each third-level category article of each article circulation unit in a second operation mode and the freight bill quantity of a first distribution mode of each third-level address; a summarizing unit configured to summarize the quantity of the waybills of the first operation mode, the quantity of the item stream of each third-level category item of each item stream unit of the second operation mode, and the quantity of the waybills of the first delivery mode of each third-level address included in each waybill and item stream quantity information in the waybill and item stream quantity information set to generate a total quantity of the waybills, thereby obtaining a total quantity set of the waybills; the splitting unit is configured to split each total freight bill in the total freight bill volume set according to the pre-generated freight bill splitting proportion of each first-last sorting flow direction and the freight bill splitting proportion of each third-level address so as to generate a sorting center freight bill volume set, a transportation route freight bill volume set and a third-level address freight bill volume set, so that a sorting center freight bill volume set, a transportation route freight bill volume set and a third-level address freight bill volume set are obtained; the summarizing and splitting unit is configured to summarize and split each third-level address waybill volume group in the third-level address waybill volume group set according to the waybill splitting proportion information of each distribution point which is generated in advance, so as to obtain the distribution point waybill volume group set.
Optionally, the generating unit includes: an extraction subunit, an input subunit, and a first determination subunit. The extraction subunit is configured to extract the characteristics of the order data in the first historical time period to obtain characteristic data; the input subunit is configured to input the characteristic data into each prediction model in a preset prediction model pool to obtain each to-be-determined freight list and each to-be-determined article circulation quantity information set; the first determining subunit is configured to determine the waybill and the article circulation quantity information set according to the to-be-determined waybill and the article circulation quantity information set.
Optionally, the first determining subunit includes: the device comprises a first determining module, a first selecting module and a second selecting module. The first determining module is configured to determine a prediction result grading value of each prediction model in the prediction model pool according to each pre-generated historical to-be-determined freight list and article circulation quantity information set and a pre-acquired reference freight list and article circulation quantity information set corresponding to each historical to-be-determined freight list and article circulation quantity information set; a first selecting module configured to select a prediction model whose prediction result score value satisfies a preset condition from the prediction model pool as a target prediction model; the second selecting module is configured to select the to-be-determined shipping list and the article circulation quantity information set output by the target prediction model from the to-be-determined shipping list and the article circulation quantity information sets as the shipping list and the article circulation quantity information set.
Optionally, the summarizing unit includes: the system comprises a first summarizing subunit, a waybill quantity conversion subunit, a second summarizing subunit and a second determining subunit. The first summarizing subunit is configured to summarize the article circulation quantity of each three-level category article of each article circulation unit adopting the second operation mode, which is included in the freight note and article circulation quantity information, so as to obtain a total article circulation quantity; the bill quantity conversion subunit is configured to perform bill quantity conversion processing on the total article circulation quantity to obtain the total bill quantity of the second distribution mode under the second operation mode; the second summarizing subunit is configured to summarize the freight bill quantity of the first delivery mode of each third-level address included in the freight bill and article circulation quantity information to obtain the total freight bill quantity of the first delivery mode; and a second determination subunit configured to determine a sum of the amount of the bill of the first operation mode, the total amount of the bill of the second delivery mode in the second operation mode, and the total amount of the bill of the first delivery mode as a total amount of the bill.
Optionally, the first summarizing subunit includes a first step-by-step summarizing module and a second determining module. The first step-by-step summarizing module is configured to summarize the article circulation quantity of each three-level category article of each article circulation unit in a second operation mode by using the hierarchical corresponding relation among each three-level category, each two-level category and each first-level category, wherein the freight bill and article circulation quantity information comprises the article circulation quantity of each three-level category article in each article circulation unit in the second operation mode, so as to obtain the article circulation quantity of each first-level category article; and the second determining module is configured to determine the sum of the article circulation amounts of the articles of the primary category as the total article circulation amount.
Optionally, the waybill conversion subunit includes: the device comprises a first splitting module, a conversion module and a third determining module. The first splitting module is configured to split the total article circulation quantity according to the article circulation quantity splitting proportion of each warehouse, so as to obtain the article circulation quantity corresponding to each warehouse; the conversion module is configured to convert the article flow quantity corresponding to each warehouse into a second delivery mode freight bill quantity according to the freight bill conversion proportion of each warehouse generated in advance, so as to obtain a second delivery mode freight bill quantity set; and a third determining module configured to determine a sum of the second delivery system waybill volumes in the second delivery system waybill volume set as a total waybill volume of the second delivery system in the second operation system.
Optionally, the second summarizing subunit includes a second step-by-step summarizing module and a fourth determining module. The second step-by-step summarizing module is configured to summarize the quantity of the waybills of the first delivery mode of each third-level address included in the waybill and the item flow quantity information step by utilizing the hierarchical corresponding relation among each third-level address, each second-level address and each first-level address, so as to obtain the quantity of the waybills of the first delivery mode of each first-level address item; and the fourth determining module is configured to determine the sum of the waybill volumes of the first delivery modes of the first-level address objects as the total waybill volume of the first delivery modes.
Optionally, the splitting unit includes a first splitting subunit and a second splitting subunit. The first splitting subunit is configured to split the total freight bill volume by utilizing the freight bill splitting proportion of each head-to-tail sorting flow direction to obtain a sorting center freight bill volume group and a transportation route freight bill volume group; the first splitting subunit is configured to split the total waybill volume by using the waybill splitting proportion of each third-level address to obtain a third-level address waybill volume group.
Optionally, the first splitting subunit includes an adjustment module configured to adjust the total waybill amount to obtain the daily sorted waybill amount in response to determining that the date corresponding to the total waybill amount is within the period of insufficient capacity.
Optionally, the first splitting subunit further includes a fifth determining module configured to determine the total waybill amount as the daily sort waybill amount in response to determining that the date corresponding to the total waybill amount is outside the time period of insufficient capacity.
Optionally, the first splitting subunit further includes a second splitting module and a simulation module. The second splitting module is configured to split the daily sorted waybill quantity according to the waybill splitting proportion of each head-to-tail sorting flow direction to obtain the waybill quantity of each head-to-tail sorting circuit; the simulation module is configured to simulate the quantity of the waybills of each first sorting line and each last sorting line by utilizing the pre-configured simulation parameters to obtain a sorting center quantity group and a transportation route quantity group.
Optionally, before the generating unit, the apparatus further includes a second determining unit configured to determine, according to order data in a second historical period, a waybill splitting ratio of the first and last sorting flows, a waybill splitting ratio of the third level addresses, waybill splitting ratio information of the distribution points, an item flow splitting ratio of the warehouses, and a waybill conversion ratio of the warehouses, where the waybill splitting ratio information of each distribution point in the waybill splitting ratio information of the distribution points includes at least one waybill splitting ratio.
Optionally, the summarizing and splitting unit includes a third summarizing subunit and a third splitting subunit. The third summarizing subunit is configured to summarize the third-level address waybill volumes in the third-level address waybill volume group into the waybill volumes of the second-level addresses by utilizing the corresponding relation between the third-level addresses and the second-level addresses, so as to obtain the second-level address waybill volume group; and the third splitting subunit is configured to split the second-stage address waybill volume in the second-stage address waybill volume group according to the waybill splitting proportion information of each distribution point to obtain the distribution point waybill volume group.
Optionally, the third splitting subunit includes a third splitting module configured to split each second-stage address waybill volume in the second-stage address waybill volume group by using a waybill splitting ratio matched with a date corresponding to the second-stage address waybill volume group in the waybill splitting ratio information of each distribution point, so as to obtain the distribution point waybill volume group.
Optionally, the third splitting module includes a waybill adjustment sub-module configured to adjust each second level address waybill in the second level address waybill group to obtain a current day delivery volume group in response to determining that the date corresponding to the second level address waybill group is within a period of insufficient capacity.
Optionally, the third splitting module includes a determining sub-module configured to determine the second-level address waybill group as a current day dispatch volume group in response to determining that a date corresponding to the second-level address waybill group is outside of the period of insufficient capacity.
Optionally, the third splitting module further includes a splitting module configured to split each of the daily delivery volumes in the daily delivery volume group by using a waybill splitting ratio matched with a date corresponding to the second-stage address waybill group in the waybill splitting ratio information of each of the delivery points, so as to obtain a delivery point waybill volume group.
In a third aspect, some embodiments of the present disclosure provide an electronic device comprising: one or more processors; a storage device having one or more programs stored thereon, which when executed by one or more processors causes the one or more processors to implement the method described in any of the implementations of the first aspect above.
In a fourth aspect, some embodiments of the present disclosure provide a computer readable medium having a computer program stored thereon, wherein the program, when executed by a processor, implements the method described in any of the implementations of the first aspect above.
The above embodiments of the present disclosure have the following advantageous effects: by the method for splitting the freight bill volume, which is disclosed by the embodiment of the invention, the consistency of the sum of the estimated freight bill volumes of each storage node, each transportation node and each distribution node in the logistics ring transportation can be ensured, and the accuracy of the estimated freight bill volume is improved. Specifically, the reason for the lower accuracy and consistency of the waybill quantity estimation of the related waybill estimation method is that: and the manager of each node in the logistics ring transportation independently predicts the quantity of the shipping bill. Therefore, in the waybill splitting method of some embodiments of the present disclosure, firstly, the waybill quantity of the first operation mode in the preset time period, the item transfer quantity of each third-level item of each item transfer unit of the second operation mode and the waybill quantity of the first delivery mode of the target delivery mode of each third-level address are estimated by using the order data in the first historical time period, and the influence of the artificial subjective factor is avoided by using the historical data. And then, summarizing the freight bill quantity of each first operation mode, the article transfer quantity of each third-level category article of each article transfer unit adopting the second operation mode and the freight bill quantity of the first delivery mode of the target delivery mode of each third-level address to obtain the total freight bill quantity. And finally, splitting the total freight bill quantity to obtain freight bill quantity of each storage, transportation and distribution link. So that the sum of the freight bill volumes of the storage, transportation and distribution links is the same as the total freight bill volume. Furthermore, accuracy and consistency of waybill quantity estimation are ensured.
Drawings
The above and other features, advantages, and aspects of embodiments of the present disclosure will become more apparent by reference to the following detailed description when taken in conjunction with the accompanying drawings. The same or similar reference numbers will be used throughout the drawings to refer to the same or like elements. It should be understood that the figures are schematic and that elements and components are not necessarily drawn to scale.
FIG. 1 is a schematic illustration of one application scenario of a waybill splitting method of some embodiments of the present disclosure;
FIG. 2 is a flow chart of some embodiments of a waybill splitting method according to the present disclosure;
FIG. 3 is a schematic diagram of a determination of a manifest and a set of item flow volume information in some embodiments of a manifest splitting method according to the present disclosure;
FIG. 4 is a flow chart of other embodiments of a waybill splitting method according to the present disclosure;
FIG. 5 is a schematic diagram of the structure of some embodiments of a waybill splitting device of the present disclosure;
fig. 6 is a schematic structural diagram of an electronic device suitable for use in implementing some embodiments of the present disclosure.
Detailed Description
Embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While certain embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be construed as limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete. It should be understood that the drawings and embodiments of the present disclosure are for illustration purposes only and are not intended to limit the scope of the present disclosure.
It should be noted that, for convenience of description, only the portions related to the present invention are shown in the drawings. Embodiments of the present disclosure and features of embodiments may be combined with each other without conflict.
It should be noted that the terms "first," "second," and the like in this disclosure are merely used to distinguish between different devices, modules, or units and are not used to define an order or interdependence of functions performed by the devices, modules, or units.
It should be noted that references to "one", "a plurality" and "a plurality" in this disclosure are intended to be illustrative rather than limiting, and those of ordinary skill in the art will appreciate that "one or more" is intended to be understood as "one or more" unless the context clearly indicates otherwise.
The names of messages or information interacted between the various devices in the embodiments of the present disclosure are for illustrative purposes only and are not intended to limit the scope of such messages or information.
The present disclosure will be described in detail below with reference to the accompanying drawings in conjunction with embodiments.
Fig. 1 is a schematic diagram of one application scenario of a waybill splitting method of some embodiments of the present disclosure.
In the application scenario of fig. 1, first, the computing device 101 may generate, using order data 102 in a first historical time period, a manifest and an item circulation amount information of each day in a preset time period, to obtain a manifest and item circulation amount information set 103, where the manifest and item circulation amount information in the manifest and item circulation amount information set 103 includes a manifest amount 1031 of a first operation mode, an item circulation amount 1032 of each third-level category item of each item circulation unit of a second operation mode, and a manifest amount 1033 of a first delivery mode of each third-level address. Next, the computing device 101 performs a summary process on the first operation style bill quantity 1031 included in each bill and item flow quantity information in the bill and item flow quantity information set 103, the item flow quantity 1032 of each three-level category item of each item flow unit using the second operation style, and the first distribution style bill quantity 1033 of each third-level address to generate a total bill quantity, and obtains a total bill quantity set 104. Then, the computing device 101 performs splitting processing on each total waybill in the total waybill volume set 104 according to the waybill splitting ratio 105 of each head-to-tail sorting flow direction and the waybill splitting ratio 106 of each third-level address, which are generated in advance, so as to generate a sorting center waybill volume group, a transportation route waybill volume group and a third-level address waybill volume group, and obtain a sorting center waybill volume group set 107, a transportation route waybill volume group set 108 and a third-level address waybill volume group set 109. Finally, the computing device 101 performs summarizing and splitting processing on each third-level address waybill volume group in the third-level address waybill volume group set 109 according to the waybill splitting proportion information 110 of each distribution point generated in advance, and obtains a distribution point waybill volume group set 111.
The computing device 101 may be hardware or software. When the computing device is hardware, the computing device may be implemented as a distributed cluster formed by a plurality of servers or terminal devices, or may be implemented as a single server or a single terminal device. When the computing device is embodied as software, it may be installed in the hardware devices listed above. It may be implemented as a plurality of software or software modules, for example, for providing distributed services, or as a single software or software module. The present invention is not particularly limited herein.
It should be understood that the number of computing devices in fig. 1 is merely illustrative. There may be any number of computing devices, as desired for an implementation.
With continued reference to fig. 2, a flow 200 of some embodiments of a waybill splitting method according to the present disclosure is shown. The waybill splitting method comprises the following steps:
step 201, generating the shipping bill and the item circulation quantity information of each day in a preset time period by using the order data in the first historical time period, and obtaining a shipping bill and item circulation quantity information set.
In some embodiments, the execution body of the waybill splitting method (such as the computing device 101 shown in fig. 1) may generate the waybill and the item circulation amount (e.g., sales amount) information of each day in the preset time period by using the order data in the first historical time period, so as to obtain the waybill and the item circulation amount information set. The bill and item circulation amount information in the bill and item circulation amount information set may include: the shipping amount of the first operation mode, the article transfer amount of each third-level category article of each article transfer unit adopting the second operation mode, and the shipping amount of the first distribution mode of each third-level address. The first operation mode may be a direct operation mode in the network platform. The second operation mode may be an article operation mode of a third party that is resident to the network platform. The item flow entity may be a third party (e.g., a cell phone flagship store, a cell phone store, etc.) that hosts the network platform. The third level address may be an address characterizing a region. For example, high new areas, etc. The waybill aimed by the first delivery mode can be generated outside the network platform. The order data within the first historical period of time may include: the first delivery mode is a collection data table, the second operation mode is an article order data table and the first operation mode is an article order data table.
In practice, the duration of the first historical period may be set according to practical application requirements, for example, two years, which is not limited herein. The expiration date of the first history period may be the current date or any one of the specified history dates.
In some optional implementations of some embodiments, the executing body generates the shipping bill and the item circulation amount information of each day in the preset time period by using the order data in the first historical time period to obtain a shipping bill and item circulation amount information set, and may include the following steps:
and a first step of extracting the characteristics of the order data in the first historical time period to obtain characteristic data. The feature data may include: features that characterize a time series, features that characterize seasons, periods, or trends, features that characterize item categories, features that characterize holidays, and so forth.
And secondly, inputting the characteristic data into each prediction model in a preset prediction model pool to obtain each to-be-determined freight list and each item circulation quantity information set. Wherein, the prediction model pool can include but is not limited to: single model, fusion model, and seasonal model. The pending shipping bill and item flow volume information may include: the method comprises the steps of determining the quantity of the to-be-determined shipping orders in a first operation mode, the quantity of to-be-determined commodity circulation of all three-level class commodities of all commodity circulation units in a second operation mode and the quantity of the to-be-determined shipping orders in a first distribution mode of all third-level addresses. The single model, the fusion model and the season model can be: CNN (Convolutional Neural Network ), RNN (Recurrent Neural Network, recurrent neural network), or DNN (Deep Neural Network ), etc.
And thirdly, determining the freight list and the article circulation quantity information set according to the various to-be-determined freight list and the article circulation quantity information set. The arithmetic average value of the to-be-determined shipping list volume of the first operation mode in each to-be-determined shipping list and the article circulation volume information set can be determined as the shipping list volume of the first operation mode, the arithmetic average value of the to-be-determined article circulation volume of each three-level article of each article circulation unit of the second operation mode is determined as the article circulation volume of each three-level article of each article circulation unit of the second operation mode, and the arithmetic average value of the to-be-determined shipping list volume of the first distribution mode of each third-level address is determined as the shipping list volume of the first distribution mode of each third-level address.
As an example, referring to fig. 3, first, features of order data 301 in the above-described first history period are extracted, resulting in feature data 302. Then, the feature data 302 is input into each prediction model in a preset prediction model pool 303, and a set of information 304 of each to-be-determined shipping list and item circulation quantity is obtained. Finally, the list and item flow information set 305 is determined according to the list and item flow information sets 304.
Optionally, the determining the waybill and the item circulation volume information set according to the respective to-be-determined waybill and item circulation volume information sets may include the following substeps:
a first substep, determining a prediction result scoring value of each prediction model in the prediction model pool according to each pre-generated historical to-be-determined freight list and article circulation quantity information set and a pre-acquired reference freight list and article circulation quantity information set corresponding to each historical to-be-determined freight list and article circulation quantity information set. The previously generated history pending shipping list and item circulation quantity information sets may be shipping list and item circulation quantity information generated previously. The reference manifest and the item circulation volume information in the reference manifest and item circulation volume information set may be real manifest and item circulation volume information. RMSE (Root Mean Square Error ), MSE (Mean Square Error, mean Square error), SD (Standard Deviation ) or R2 (R-Square, goodness of fit) between each of the previously generated sets of historical to-be-determined waybills and item flow amount information and the set of reference waybill and item flow amount information may be used as the prediction result score value for each of the prediction models in the prediction model pool.
And a second sub-step of selecting a prediction model with a prediction result score value meeting a preset condition from the prediction model pool as a target prediction model. The preset condition may be that the prediction model represented by the scoring value of the prediction result is a prediction model with highest prediction accuracy in the prediction model pool.
When the predictor score value is represented by RMSE, MSE, or SD, the smaller the predictor score value, the higher the prediction accuracy of the predictor of the prediction model. When the prediction result score value is represented by R2, the larger the prediction result score value, the higher the prediction accuracy of the prediction result of the prediction model is indicated.
And a third sub-step of selecting the to-be-determined shipping list and the article circulation quantity information set output by the target prediction model from the to-be-determined shipping list and the article circulation quantity information sets as the shipping list and the article circulation quantity information set.
Step 202, summarizing the quantity of the shipping slips of the first operation mode, the quantity of the article transfer of each third-level category article of each article transfer unit of the second operation mode and the quantity of the shipping slips of the first delivery mode of each third-level address, which are included in each of the shipping slips and article transfer quantity information set, so as to generate a total shipping slip quantity, and obtaining a total shipping slip quantity set.
In some embodiments, the executing body performs a summary process on the waybill volume of the first operation mode included in each waybill and item flow volume information in the waybill and item flow volume information set, the item flow volume of each third-level category item of each item flow unit adopting the second operation mode, and the waybill volume of the first delivery mode of each third-level address to generate a total waybill volume, so as to obtain a total waybill volume set, and may include the following steps:
and a first step of summing the article circulation amounts of the three-level category articles of each article circulation unit adopting the second operation mode to obtain an article total circulation amount.
And secondly, determining a product value of a conversion ratio of the preset circulation quantity and the freight volume and the total circulation quantity of the articles as the total freight volume of a second distribution mode under a second operation mode. The waybill targeted by the second delivery mode may be a waybill generated in the network platform.
And thirdly, determining the sum of the quantity of the waybills of the first operation mode, the total quantity of the waybills of the second distribution mode under the second operation mode and the quantity of the waybills of the first distribution mode of each third-level address as a total waybill quantity set.
And 203, respectively carrying out splitting treatment on each total freight bill in the total freight bill volume set according to the freight bill splitting proportion of each head-to-tail sorting flow direction and the freight bill splitting proportion of each third-level address which are generated in advance so as to generate a sorting center freight bill volume group, a transportation route freight bill volume group and a third-level address freight bill volume group, and obtaining a sorting center freight bill volume group set, a transportation route freight bill volume group set and a third-level address freight bill volume group set.
In some embodiments, the execution body may split each total waybill in the total waybill volume set according to a waybill splitting ratio of each first-last sorting flow direction and a waybill splitting ratio of each third-level address, which are generated in advance, to generate a sorting center waybill volume group, a transportation route waybill volume group, and a third-level address waybill volume group, so as to obtain a sorting center waybill volume group set, a transportation route waybill volume group set, and a third-level address waybill volume group set. Wherein the first-last sorting flow direction may represent a flow direction from a first sorting point to a last sorting point. The sum of the waybill splitting ratios of the head sorting flow direction and the tail sorting flow direction is 1. The sum of the waybill splitting ratios of the third-level addresses is 1.
Firstly, a product value of each total freight note volume in the total freight note volume set and the freight note splitting proportion of each head-end sorting flow direction can be used as the sorting center freight note volume in the sorting center freight note volume group, and a sorting center freight note volume group set is obtained. Then, each sorting center waybill in the sorting center waybill group collection can be input into a preset transportation route waybill quantity simulation model to obtain a transportation route waybill group collection. The transportation route bill quantity simulation model may be CNN, RNN, or DNN. And finally, taking the product value of each total waybill quantity in the total waybill quantity set and the waybill splitting proportion of each third-level address as the third-level address waybill quantity in the third-level address waybill quantity group to obtain a third-level address waybill quantity group set.
As an example, the above-described head-to-tail sort flow direction may be a seagoing sort center to a beijing sort center, a Qingdao sort center to a western-style sort center, a beijing sort center to a seagoing sort center, and so on.
And 204, summarizing and splitting each third-level address waybill volume group in the third-level address waybill volume group set according to the waybill splitting proportion information of each distribution point generated in advance to obtain the distribution point waybill volume group set.
In some embodiments, the executing body may summarize and split each third-level address waybill volume group in the third-level address waybill volume group set according to the waybill splitting proportion information of each distribution point generated in advance, to obtain a distribution point waybill volume group set, and may include the following steps:
and the first step is to sum the third-level address waybill volumes in the third-level address waybill volume groups in the third-level address waybill volume group set to obtain the total waybill volume. The waybill splitting ratio information of each delivery point in the waybill splitting ratio information of each delivery point comprises the waybill splitting ratio of one delivery point.
And secondly, determining a product value of the total quantity of the freight bill and the freight bill splitting proportion of the delivery points in the freight bill splitting proportion information of each delivery point as the quantity of the delivery points in the freight bill quantity group of the delivery points.
Optionally, the executing body may further execute the following steps:
the first step, in response to receiving the bill quantity inquiry request, sends the sorting center bill quantity group set, the transportation route bill quantity group set, the third-level address bill quantity group set and the distribution point bill quantity group set to a target terminal. The destination terminal may be a terminal that transmits the waybill quantity inquiry request.
After receiving the sorting center bill quantity group set, the transportation route bill quantity group set, the third-level address bill quantity group set and the distribution point bill quantity group set sent by the execution body, the target terminal can render the sorting center bill quantity group set, the transportation route bill quantity group set, the third-level address bill quantity group set and the distribution point bill quantity group set in an electronic map according to the dimensions of the day respectively, and display the sorting center bill quantity group, the transportation route bill quantity group, the third-level address bill quantity group and the distribution point bill quantity group of each day at certain time intervals, thereby achieving the effect of dynamic display.
The sorting centers can be represented as punctuation map symbols in the electronic map, and the punctuation map symbols of the sorting centers in the electronic map can be set according to the quantity value of the quantity of the sorting centers corresponding to each sorting center. The larger the number of sorting center waybill amounts, the larger the corresponding sorting center punctual map symbol size. The distribution points can be represented as punctual map symbols in the electronic map, and the sizes of the punctual map symbols of the distribution points in the electronic map can be set according to the quantity value of the distribution point waybill corresponding to each distribution point. The larger the number value of the delivery point waybill is, the larger the size of the dot-like map symbol of the corresponding delivery point is.
The transportation routes can be represented as linear map symbols in the electronic map, and the thickness of the linear map symbols of the transportation routes in the electronic map can be set according to the quantity value of the transportation list quantity of each transportation route. The larger the number value of the shipping route manifest, the thicker the corresponding linear map symbol of the shipping route.
The area represented by the three-level address can be represented as a planar map symbol in the electronic map, and the color of the planar map symbol of the area represented by the three-level address in the electronic map can be set according to the magnitude of the quantity of the waybill quantity of the three-level address corresponding to the area represented by each three-level address. The larger the number value of the area waybill represented by the three-level address is, the deeper the planar map symbol of the area represented by the corresponding three-level address is.
And a second step of sending the bill quantity early warning information to the control terminal in response to determining that the sorting center bill quantity set, the transportation route bill quantity set, the third-level address bill quantity set or the distribution point bill quantity greater than the preset sorting quantity, the transportation route bill quantity greater than the preset transportation quantity, the third-level address bill quantity greater than the preset third-level address bill quantity or the distribution point bill quantity greater than the preset distribution quantity exist in the sorting center bill quantity set, the transportation route bill quantity greater than the preset transportation quantity, the third-level address bill quantity greater than the preset third-level address bill quantity or the distribution point bill quantity greater than the preset distribution quantity. In practice, the preset sorting amount, the preset traffic amount, the preset third-level address waybill amount and the preset delivery amount may be set according to actual application scenarios, which is not limited herein.
Therefore, decision-making staff can timely predict abrupt change conditions of the freight bill quantity, and further, transportation resources, sorting resources and the like are allocated in advance according to the condition that the freight bill quantity is too large, so that the occurrence of the condition that a large amount of freight bills are backlogged is avoided, and freight bill timeliness is improved.
The above embodiments of the present disclosure have the following advantageous effects: by the method for splitting the freight bill volume, which is disclosed by the embodiment of the invention, the consistency of the sum of the estimated freight bill volumes of each storage node, each transportation node and each distribution node in the logistics ring transportation can be ensured, and the accuracy of the estimated freight bill volume is improved. Specifically, the reason for the lower accuracy and consistency of the waybill quantity estimation of the related waybill estimation method is that: and the manager of each node in the logistics ring transportation independently predicts the quantity of the shipping bill. Therefore, in the waybill splitting method of some embodiments of the present disclosure, firstly, the waybill quantity of the first operation mode in the preset time period, the item transfer quantity of each third-level item of each item transfer unit of the second operation mode and the waybill quantity of the first delivery mode of the target delivery mode of each third-level address are estimated by using the order data in the first historical time period, and the influence of the artificial subjective factor is avoided by using the historical data. And then, summarizing the freight bill quantity of each first operation mode, the article transfer quantity of each third-level category article of each article transfer unit adopting the second operation mode and the freight bill quantity of the first delivery mode of the target delivery mode of each third-level address to obtain the total freight bill quantity. And finally, splitting the total freight bill quantity to obtain freight bill quantity of each storage, transportation and distribution link. So that the sum of the freight bill volumes of the storage, transportation and distribution links is the same as the total freight bill volume. Furthermore, accuracy and consistency of waybill quantity estimation are ensured.
With further reference to FIG. 4, a flow 400 of further embodiments of a waybill splitting method is shown. The process 400 of the waybill splitting method includes the steps of:
step 401, determining a waybill splitting ratio of each first-last sorting flow direction, a waybill splitting ratio of each third-level address, waybill splitting ratio information of each distribution point, an object flow splitting ratio of each warehouse and a waybill conversion ratio of each warehouse according to order data in the second historical time period.
In some embodiments, the execution body of the waybill splitting method (such as the computing device 101 shown in fig. 1) may determine the waybill splitting ratio of the first and last sorting flows, the waybill splitting ratio of the third level addresses, the waybill splitting ratio information of the distribution points, the item flow splitting ratio of the warehouses, and the waybill conversion ratio of the warehouses according to the order data in the second historical time period. The waybill splitting ratio information of each delivery point in the waybill splitting ratio information of each delivery point comprises at least one waybill splitting ratio. The duration of the second historical period may be set according to practical application requirements, for example, 30 days, which is not limited herein. The expiration date of the second history period may be the current date or any one of the specified history dates. The order data in the second history period may include: the first delivery mode is a collection data table, the second operation mode is an article order data table and the first operation mode is an article order data table.
First, the current bill split ratio for each first-last sort flow in each day over the second historical period may be determined. Then, the arithmetic average value of the waybill splitting ratios of the same first and last sorting flows on each day in the second historical period is determined as the waybill splitting ratio of the first and last sorting flows. The current-day waybill splitting ratio for each first-to-last sort flow direction in each day of the second historical time period may be a ratio of the waybill volume for the first-to-last sort flow direction to the sum of the waybill volumes for the respective first-to-last sort flow directions in the day.
Specific implementation manners of determining the waybill splitting ratio of each third-level address, the waybill splitting ratio information of each distribution point, the object flow splitting ratio of each warehouse and the waybill conversion ratio of each warehouse can refer to the step of determining the waybill splitting ratio of the first-end sorting flow direction, and are not repeated here.
Step 402, generating the shipping bill and the item circulation quantity information of each day in a preset time period by using the order data in the first historical time period, and obtaining a shipping bill and item circulation quantity information set.
In some embodiments, the specific implementation manner of step 402 and the technical effects thereof may refer to step 201 in those embodiments corresponding to fig. 2, which are not described herein.
Step 403, summarizing the quantity of the shipping slips of the first operation mode, the quantity of the article transfer of each third-level category article of each article transfer unit of the second operation mode, and the quantity of the shipping slips of the first delivery mode of each third-level address included in each shipping slip and article transfer quantity information in the shipping slip and article transfer quantity information set to generate a total shipping slip quantity, thereby obtaining a total shipping slip quantity set.
In some embodiments, the executing body performs a summary process on the waybill volume of the first operation mode included in each waybill and item flow volume information in the waybill and item flow volume information set, the item flow volume of each third-level category item of each item flow unit adopting the second operation mode, and the waybill volume of the first delivery mode of each third-level address to generate a total waybill volume, so as to obtain a total waybill volume set, and may include the following steps:
step 4031, summarizing the item circulation amounts of the three-level items of each item circulation unit adopting the second operation mode, which are included in the manifest and item circulation amount information, to obtain a total item circulation amount.
The article circulation amounts of the three-level category articles of the article circulation units adopting the second operation mode can be directly summed to obtain a total article circulation amount.
In some optional implementations of some embodiments, the step of the executing body summarizing the item circulation amounts of the three-level items of each item circulation unit adopting the second operation mode included in the manifest and item circulation amount information to obtain a total item circulation amount may include the following steps:
step one, utilizing the hierarchical corresponding relation among each tertiary category, each secondary category and each primary category to summarize the article circulation quantity of each tertiary category article of each article circulation unit adopting a second operation mode, wherein the article circulation quantity information comprises the freight note and the article circulation quantity information, so as to obtain the article circulation quantity of each primary category article. The terms "tertiary", "secondary" and "primary" in the tertiary category, the secondary category and the primary category are only used for distinguishing different categories, and are not used for limiting the level between the categories. Hierarchical correspondence between each tertiary category, each secondary category, and each primary category may be pre-stored and recorded.
First, according to the corresponding relation between each third class and each second class, the article circulation amounts of the articles of each third class of each article circulation unit adopting the second operation mode can be summarized as the article circulation amounts of the articles of each second class. And then, according to the corresponding relation between each secondary category and each primary category, the item circulation quantity of each secondary category item can be summarized into the item circulation quantity of each primary category item.
By way of example, the tertiary category may be rucksack, satchel, bucket bag, square bag, draw bar bag, recreational sports bag, jigsaw puzzle, building blocks, and home toys. The second category can be a tide woman bag, a functional case, and early education and intelligence improvement. First class cases and toy musical instruments. The three-level class single shoulder bag, the inclined satchel, the water bucket bag and the small square bag correspond to the two-level class tide female bag. The three-level category pull rod bag and the leisure sports bag correspond to the two-level category functional bags. The second class tide female bag and the functional box bag correspond to the first class box. The three-level category jigsaw, building blocks and home-through toys correspond to the two-level category early education and intelligence improvement. The second category early teaching and development corresponds to the first category toy musical instrument.
And step two, determining the sum of the article circulation amounts of the articles of the first class as the total article circulation amount.
Step 4032, performing a bill conversion process on the total article circulation amount to obtain a total bill amount of the second distribution mode in the second operation mode.
The product value of the preset conversion ratio and the total article circulation quantity can be used as the total freight bill quantity of the second delivery mode under the second operation mode.
In some optional implementations of some embodiments, the executing body performs a bill conversion process on the total article flow to obtain a total bill of the second delivery mode in the second operation mode, and may include the following steps:
The first step, splitting the total article circulation quantity according to the article circulation quantity splitting proportion of each warehouse, which is generated in advance, so as to obtain the article circulation quantity corresponding to each warehouse. The product value of the total article circulation quantity and the article circulation quantity splitting proportion of each warehouse can be determined to be the article circulation quantity corresponding to each warehouse.
And a second step of converting the article flow quantity corresponding to each warehouse into a second delivery mode freight bill quantity according to the freight bill conversion proportion of each warehouse generated in advance, so as to obtain a second delivery mode freight bill quantity set. And the article circulation quantity corresponding to each warehouse can be multiplied by the freight list conversion proportion of each warehouse to obtain freight list quantity of each second distribution mode.
And thirdly, determining the sum of the second delivery mode waybill volumes in the second delivery mode waybill volume set as the total waybill volume of the second delivery mode in the second operation mode.
Step 4033, summarizing the quantity of the shipping slips of the first delivery mode of each third-level address included in the shipping slips and the item flow quantity information to obtain the total quantity of the shipping slips of the first delivery mode.
The method can directly sum the quantity of the shipping bill of the first delivery mode of each third-level address included in the shipping bill and the item flow quantity information to obtain the total quantity of the shipping bill of the first delivery mode.
In some optional implementations of some embodiments, the executing body performs summary processing on the waybill amounts of the first delivery mode of the third-level addresses included in the waybill and the item flow amount information to obtain a total waybill amount of the first delivery mode, and may include the following steps:
step one, utilizing the hierarchical corresponding relation among each third-level address, each second-level address and each first-level address to summarize the freight bill quantity of the first delivery mode of each third-level address included in the freight bill and article flow quantity information step by step, so as to obtain the freight bill quantity of the first delivery mode of each first-level address article.
First, the quantity of the waybills of the first delivery mode of each third-level address can be summarized into the quantity of the waybills of each second-level address according to the corresponding relation between each third-level address and each second-level address. And then, according to the corresponding relation between each second-level address and each first-level address, the waybill quantity of each second-level address is summarized into the waybill quantity of each first-level address.
By way of example, the third level address may be Wu Hou Ou, jinjiang, qing sheep, hibiscus, tianxin, yue Lu, etc. The second level address may be a capital, a long sand, etc. The primary address may be Sichuan, hunan, etc. The third level address Wu Houou, the second level addresses corresponding to the Jinjiang and Qing sheep regions may be the capital. The first-level addresses to which the second-level addresses should be all applied may be Sichuan. The first level address of the second level address changshac may be hunan.
And step two, determining the sum of the freight bill volumes of the first delivery modes of the first-stage address objects as the total freight bill volume of the first delivery modes.
Step 4034, determining the sum of the amount of the bill of the first operation mode, the total amount of the bill of the second distribution mode in the second operation mode, and the total amount of the bill of the first distribution mode as the total amount of the bill.
And step 404, splitting each total freight bill in the total freight bill volume set according to the pre-generated freight bill splitting proportion of each head-to-tail sorting flow direction and the freight bill splitting proportion of each third-level address to generate a sorting center freight bill volume set, a transportation route freight bill volume set and a third-level address freight bill volume set, so as to obtain a sorting center freight bill volume set, a transportation route freight bill volume set and a third-level address freight bill volume set.
In some embodiments, the executing body performs splitting processing on each total waybill in the total waybill volume set according to a waybill splitting ratio of each head-to-tail sorting flow direction and a waybill splitting ratio of each third-level address, which are generated in advance, so as to generate a sorting center waybill volume group, a transportation route waybill volume group and a third-level address waybill volume group, and obtain a sorting center waybill volume group set, a transportation route waybill volume group set and a third-level address waybill volume group set, which may include the following steps:
and 4041, splitting the total freight bill volume by utilizing the freight bill splitting proportion of each first-last sorting flow direction to obtain a sorting center freight bill volume group and a transportation route freight bill volume group.
The execution main body can input the total freight bill quantity and the freight bill splitting proportion of each head-end sorting flow direction into a pre-trained simulation model to obtain an output sorting center freight bill quantity group and a transport route freight bill quantity group. Wherein, the simulation model can be CNN, RNN or DNN.
In some optional implementations of some embodiments, the executing body may split the total freight volume by using a freight volume splitting ratio of each first-last sorting flow direction to obtain a sorting center freight volume group and a transportation route freight volume group, and may include the following steps:
And in the first step, the total freight list quantity is adjusted in response to the fact that the date corresponding to the total freight list quantity is determined to be in the time period with insufficient capacity, and the daily sorting freight list quantity is obtained. Wherein the period of insufficient productivity may be predetermined. The product value of the preset total bill quantity adjustment proportion and the total bill quantity can be determined as the daily sorting bill quantity.
As an example, the period of the above-described shortage of productivity may be 6 months 18 days to 6 months 22 days, 11 months 11 days to 11 months 20 days, or the like.
Optionally, the executing body may further determine the total waybill amount as the daily sort waybill amount in response to determining that the date corresponding to the total waybill amount is outside the period of insufficient capacity.
And secondly, splitting the daily sorted waybill according to the waybill splitting proportion of each first-last sorting flow direction to obtain the waybill quantity of each first-last sorting circuit. The product value of the current day sorting waybill quantity and the waybill splitting proportion of each first-last sorting flow direction can be determined as the waybill quantity of each first-last sorting line.
And thirdly, carrying out simulation processing on the freight bill quantity of each first and last sorting line by utilizing pre-configured simulation parameters to obtain a sorting center freight bill quantity group and a transportation route freight bill quantity group. The simulation parameters can include transportation vehicle dispatching parameters, manpower dispatching parameters and the like. The simulation parameters and the freight bill volumes of the first and last sorting lines can be input into a simulation system to obtain a sorting center freight bill volume group and a transportation route freight bill volume group.
And step 4042, splitting the total freight bill volume by utilizing the freight bill splitting proportion of each third-level address to obtain a third-level address freight bill volume group.
The execution body may determine a product value of the total waybill quantity and the waybill splitting ratio of each third level address to be more than each third level address waybill quantity.
And step 405, summarizing and splitting each third-level address waybill volume group in the third-level address waybill volume group set according to the waybill splitting proportion information of each pre-generated delivery point to obtain the delivery point waybill volume group set.
In some embodiments, the executing body may summarize and split each third-level address waybill volume group in the third-level address waybill volume group set according to the waybill splitting proportion information of each distribution point generated in advance, to obtain a distribution point waybill volume group set, and may include the following steps:
step 4051, summarizing the third-level address waybill volumes in the third-level address waybill volume group into the waybill volumes of the second-level addresses by using the corresponding relation between the third-level addresses and the second-level addresses, thereby obtaining the second-level address waybill volume group.
The execution body may collect, according to the correspondence between each third-level address and each second-level address, each third-level address waybill volume in the third-level address waybill volume group into waybill volumes of each second-level address, to obtain a second-level address waybill volume group.
And 4052, splitting the second-stage address waybill in the second-stage address waybill volume group according to the waybill splitting proportion information of each delivery point to obtain the delivery point waybill volume group.
The waybill splitting ratio information of each of the above-described respective delivery points may include only one waybill splitting ratio. The correspondence between the second-level address and the delivery point may be stored in advance. A second level address may correspond to a plurality of dispatch points. And determining the product value of the waybill splitting ratio and the second-stage address waybill quantity included in the waybill splitting ratio information of the delivery points corresponding to each second-stage address waybill quantity in the second-stage address waybill quantity group as the waybill quantity of each delivery point.
In some optional implementations of some embodiments, the execution body may split each second-level address waybill volume in the second-level address waybill volume group according to a waybill splitting ratio that matches a date corresponding to the second-level address waybill volume group in the waybill splitting ratio information of each delivery point, so as to obtain the delivery point waybill volume group. The waybill splitting ratio information of each delivery point in the waybill splitting ratio information of each delivery point may include at least one waybill splitting ratio. In practice, the waybill split ratio information of the delivery point may include two waybill split ratios, wherein one waybill split ratio represents a monday to friday split ratio and the other split ratio represents a friday to friday split ratio. The waybill split ratio information of the delivery point may also include seven waybill split ratios. The resolution ratios are shown for each day from monday to seven days of the week, respectively.
First, a day corresponding to the corresponding date of the second-stage address waybill group among monday to sunday may be determined as the target day. Then, the product value of the waybill splitting ratio corresponding to the target day in the waybill splitting ratio information of each delivery point and the waybill quantity of each second-stage address in the waybill quantity group can be determined as the delivery point waybill quantity, and the delivery point waybill quantity group is obtained.
Optionally, the executing body performs splitting processing on each second-stage address waybill volume in the second-stage address waybill volume group by using a waybill splitting proportion matched with a date corresponding to the second-stage address waybill volume group in the waybill splitting proportion information of each delivery point to obtain the delivery point waybill volume group, and may include the following steps:
and in the first step, in response to determining that the date corresponding to the second-stage address waybill quantity group is in the period of insufficient capacity, adjusting each second-stage address waybill quantity in the second-stage address waybill quantity group to obtain the current day delivery quantity group. Wherein the period of insufficient productivity may be predetermined. The product value of the preset second-level address waybill adjustment ratio and each second-level address waybill in the second-level address waybill quantity group can be determined as the current day delivery quantity.
Optionally, the executing entity may further determine the second-level address waybill volume group as the current day dispatch volume group in response to determining that the date corresponding to the second-level address waybill volume group is outside the period of insufficient capacity.
And secondly, splitting the current day delivery volume in the current day delivery volume group by utilizing the waybill splitting proportion matched with the date corresponding to the second-stage address waybill volume group in the waybill splitting proportion information of each delivery point to obtain the delivery point waybill volume group.
As can be seen from fig. 4, in comparison with the description of some embodiments corresponding to fig. 2, the flow 400 of the waybill splitting method in some embodiments corresponding to fig. 4 embodies the steps of splitting and summarizing the waybill from the third class, the second class and the first class, and the third class address, the second class address and the third class address, respectively, while the splitting ratio in the splitting process is also derived from the historical data. Therefore, the scheme described by the embodiments can enable the waybill quantity of each node obtained after splitting to be more consistent with the actual situation, and further improves the prediction accuracy of the waybill quantity of each node.
With further reference to fig. 5, as an implementation of the method illustrated in the above figures, the present disclosure provides some embodiments of a waybill splitting device that correspond to those method embodiments illustrated in fig. 2, and that are particularly applicable in a variety of electronic devices.
As shown in fig. 5, the waybill splitting device 500 of some embodiments comprises: a generating unit 501, a summarizing unit 502, a splitting unit 503, and a summarizing and splitting unit 504. The generating unit 501 is configured to generate, by using order data in a first historical time period, a manifest and article circulation quantity information of each day in a preset time period to obtain a manifest and article circulation quantity information set, where the manifest and article circulation quantity information in the manifest and article circulation quantity information set includes a manifest quantity of a first operation mode, an article circulation quantity of each three-level category article of each article circulation unit in a second operation mode, and a manifest quantity of a first distribution mode of each third-level address; a summarizing unit 502 configured to summarize the quantity of the waybills of the first operation mode, the quantity of the item of each third-level category of each item circulation unit of the second operation mode, and the quantity of the waybills of the first delivery mode of each third-level address included in each waybill and item circulation quantity information in the waybill and item circulation quantity information set to generate a total quantity of the waybills, so as to obtain a total quantity set of the waybills; a splitting unit 503 configured to split each total waybill in the total waybill volume set according to a waybill splitting ratio of each head-to-tail sorting flow direction and a waybill splitting ratio of each third-level address generated in advance to generate a sorting center waybill volume set, a transportation route waybill volume set and a third-level address waybill volume set, thereby obtaining a sorting center waybill volume set, a transportation route waybill volume set and a third-level address waybill volume set; and a summarizing and splitting unit 504 configured to summarize and split each third-level address waybill volume group in the third-level address waybill volume group set according to the waybill splitting proportion information of each distribution point generated in advance, so as to obtain the distribution point waybill volume group set.
Optionally, the generating unit 501 includes: an extraction subunit, an input subunit, and a first determination subunit. The extraction subunit is configured to extract the characteristics of the order data in the first historical time period to obtain characteristic data; the input subunit is configured to input the characteristic data into each prediction model in a preset prediction model pool to obtain each to-be-determined freight list and each to-be-determined article circulation quantity information set; the first determining subunit is configured to determine the waybill and the article circulation quantity information set according to the to-be-determined waybill and the article circulation quantity information set.
Optionally, the first determining subunit includes: the device comprises a first determining module, a first selecting module and a second selecting module. The first determining module is configured to determine a prediction result grading value of each prediction model in the prediction model pool according to each pre-generated historical to-be-determined freight list and article circulation quantity information set and a pre-acquired reference freight list and article circulation quantity information set corresponding to each historical to-be-determined freight list and article circulation quantity information set; a first selecting module configured to select a prediction model whose prediction result score value satisfies a preset condition from the prediction model pool as a target prediction model; the second selecting module is configured to select the to-be-determined shipping list and the article circulation quantity information set output by the target prediction model from the to-be-determined shipping list and the article circulation quantity information sets as the shipping list and the article circulation quantity information set.
Optionally, the summarizing unit 502 includes: the system comprises a first summarizing subunit, a waybill quantity conversion subunit, a second summarizing subunit and a second determining subunit. The first summarizing subunit is configured to summarize the article circulation quantity of each three-level category article of each article circulation unit adopting the second operation mode, which is included in the freight note and article circulation quantity information, so as to obtain a total article circulation quantity; the bill quantity conversion subunit is configured to perform bill quantity conversion processing on the total article circulation quantity to obtain the total bill quantity of the second distribution mode under the second operation mode; the second summarizing subunit is configured to summarize the freight bill quantity of the first delivery mode of each third-level address included in the freight bill and article circulation quantity information to obtain the total freight bill quantity of the first delivery mode; and a second determination subunit configured to determine a sum of the amount of the bill of the first operation mode, the total amount of the bill of the second delivery mode in the second operation mode, and the total amount of the bill of the first delivery mode as a total amount of the bill.
Optionally, the first summarizing subunit includes a first step-by-step summarizing module and a second determining module. The first step-by-step summarizing module is configured to summarize the article circulation quantity of each three-level category article of each article circulation unit in a second operation mode by using the hierarchical corresponding relation among each three-level category, each two-level category and each first-level category, wherein the freight bill and article circulation quantity information comprises the article circulation quantity of each three-level category article in each article circulation unit in the second operation mode, so as to obtain the article circulation quantity of each first-level category article; and the second determining module is configured to determine the sum of the article circulation amounts of the articles of the primary category as the total article circulation amount.
Optionally, the waybill conversion subunit includes: the device comprises a first splitting module, a conversion module and a third determining module. The first splitting module is configured to split the total article circulation quantity according to the article circulation quantity splitting proportion of each warehouse, so as to obtain the article circulation quantity corresponding to each warehouse; the conversion module is configured to convert the article flow quantity corresponding to each warehouse into a second delivery mode freight bill quantity according to the freight bill conversion proportion of each warehouse generated in advance, so as to obtain a second delivery mode freight bill quantity set; and a third determining module configured to determine a sum of the second delivery system waybill volumes in the second delivery system waybill volume set as a total waybill volume of the second delivery system in the second operation system.
Optionally, the second summarizing subunit includes a second step-by-step summarizing module and a fourth determining module. The second step-by-step summarizing module is configured to summarize the quantity of the waybills of the first delivery mode of each third-level address included in the waybill and the item flow quantity information step by utilizing the hierarchical corresponding relation among each third-level address, each second-level address and each first-level address, so as to obtain the quantity of the waybills of the first delivery mode of each first-level address item; and the fourth determining module is configured to determine the sum of the waybill volumes of the first delivery modes of the first-level address objects as the total waybill volume of the first delivery modes.
Optionally, the splitting unit 503 includes a first splitting subunit and a second splitting subunit. The first splitting subunit is configured to split the total freight bill volume by utilizing the freight bill splitting proportion of each head-to-tail sorting flow direction to obtain a sorting center freight bill volume group and a transportation route freight bill volume group; the first splitting subunit is configured to split the total waybill volume by using the waybill splitting proportion of each third-level address to obtain a third-level address waybill volume group.
Optionally, the first splitting subunit includes an adjustment module configured to adjust the total waybill amount to obtain the daily sorted waybill amount in response to determining that the date corresponding to the total waybill amount is within the period of insufficient capacity.
Optionally, the first splitting subunit further includes a fifth determining module configured to determine the total waybill amount as the daily sort waybill amount in response to determining that the date corresponding to the total waybill amount is outside the time period of insufficient capacity.
Optionally, the first splitting subunit further includes a second splitting module and a simulation module. The second splitting module is configured to split the daily sorted waybill quantity according to the waybill splitting proportion of each head-to-tail sorting flow direction to obtain the waybill quantity of each head-to-tail sorting circuit; the simulation module is configured to simulate the quantity of the waybills of each first sorting line and each last sorting line by utilizing the pre-configured simulation parameters to obtain a sorting center quantity group and a transportation route quantity group.
Optionally, before the generating unit 501, the apparatus further includes a second determining unit configured to determine, according to order data in a second historical period, a waybill splitting ratio of the first and last sorting flows, a waybill splitting ratio of the third level addresses, waybill splitting ratio information of the delivery points, an item flow splitting ratio of the warehouses, and a waybill conversion ratio of the warehouses, where the waybill splitting ratio information of each delivery point in the waybill splitting ratio information of the delivery points includes at least one waybill splitting ratio.
Optionally, the summarizing and splitting unit 504 includes a third summarizing subunit and a third splitting subunit. The third summarizing subunit is configured to summarize the third-level address waybill volumes in the third-level address waybill volume group into the waybill volumes of the second-level addresses by utilizing the corresponding relation between the third-level addresses and the second-level addresses, so as to obtain the second-level address waybill volume group; and the third splitting subunit is configured to split the second-stage address waybill volume in the second-stage address waybill volume group according to the waybill splitting proportion information of each distribution point to obtain the distribution point waybill volume group.
Optionally, the third splitting subunit includes a third splitting module configured to split each second-stage address waybill volume in the second-stage address waybill volume group by using a waybill splitting ratio matched with a date corresponding to the second-stage address waybill volume group in the waybill splitting ratio information of each distribution point, so as to obtain the distribution point waybill volume group.
Optionally, the third splitting module includes a waybill adjustment sub-module configured to adjust each second level address waybill in the second level address waybill group to obtain a current day delivery volume group in response to determining that the date corresponding to the second level address waybill group is within a period of insufficient capacity.
Optionally, the third splitting module includes a determining sub-module configured to determine the second-level address waybill group as a current day dispatch volume group in response to determining that a date corresponding to the second-level address waybill group is outside of the period of insufficient capacity.
Optionally, the third splitting module further includes a splitting module configured to split each of the daily delivery volumes in the daily delivery volume group by using a waybill splitting ratio matched with a date corresponding to the second-stage address waybill group in the waybill splitting ratio information of each of the delivery points, so as to obtain a delivery point waybill volume group.
It will be appreciated that the elements described in the apparatus 500 correspond to the various steps in the method described with reference to fig. 2. Thus, the operations, features and resulting benefits described above with respect to the method are equally applicable to the apparatus 500 and the units contained therein, and are not described in detail herein.
Referring now to fig. 6, a schematic diagram of an electronic device 600 suitable for use in implementing some embodiments of the present disclosure is shown. The electronic device shown in fig. 6 is merely an example and should not impose any limitations on the functionality and scope of use of embodiments of the present disclosure.
As shown in fig. 6, the electronic device 600 may include a processing means (e.g., a central processing unit, a graphics processor, etc.) 601, which may perform various appropriate actions and processes according to a program stored in a Read Only Memory (ROM) 602 or a program loaded from a storage means 608 into a Random Access Memory (RAM) 603. In the RAM603, various programs and data required for the operation of the electronic apparatus 600 are also stored. The processing device 601, the ROM 602, and the RAM603 are connected to each other through a bus 604. An input/output (I/O) interface 605 is also connected to bus 604.
In general, the following devices may be connected to the I/O interface 605: input devices 606 including, for example, a touch screen, touchpad, keyboard, mouse, camera, microphone, accelerometer, gyroscope, and the like; an output device 607 including, for example, a Liquid Crystal Display (LCD), a speaker, a vibrator, and the like; and a communication device 609. The communication means 609 may allow the electronic device 600 to communicate with other devices wirelessly or by wire to exchange data. While fig. 6 shows an electronic device 600 having various means, it is to be understood that not all of the illustrated means are required to be implemented or provided. More or fewer devices may be implemented or provided instead. Each block shown in fig. 6 may represent one device or a plurality of devices as needed.
In particular, according to some embodiments of the present disclosure, the processes described above with reference to flowcharts may be implemented as computer software programs. For example, some embodiments of the present disclosure include a computer program product comprising a computer program embodied on a computer readable medium, the computer program comprising program code for performing the method shown in the flow chart. In such embodiments, the computer program may be downloaded and installed from a network via communications device 609, or from storage device 608, or from ROM 602. The above-described functions defined in the methods of some embodiments of the present disclosure are performed when the computer program is executed by the processing device 601.
It should be noted that, the computer readable medium described in some embodiments of the present disclosure may be a computer readable signal medium or a computer readable storage medium, or any combination of the two. The computer readable storage medium can be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or a combination of any of the foregoing. More specific examples of the computer-readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In some embodiments of the present disclosure, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. In some embodiments of the present disclosure, however, the computer-readable signal medium may comprise a data signal propagated in baseband or as part of a carrier wave, with the computer-readable program code embodied therein. Such a propagated data signal may take any of a variety of forms, including, but not limited to, electro-magnetic, optical, or any suitable combination of the foregoing. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to: electrical wires, fiber optic cables, RF (radio frequency), and the like, or any suitable combination of the foregoing.
In some implementations, the clients, servers may communicate using any currently known or future developed network protocol, such as HTTP (HyperText Transfer Protocol ), and may be interconnected with any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include a local area network ("LAN"), a wide area network ("WAN"), the internet (e.g., the internet), and peer-to-peer networks (e.g., ad hoc peer-to-peer networks), as well as any currently known or future developed networks.
The computer readable medium may be contained in the electronic device; or may exist alone without being incorporated into the electronic device. The computer readable medium carries one or more programs which, when executed by the electronic device, cause the electronic device to: generating a freight bill and article circulation quantity information of each day in a preset time period by using order data in a first historical time period to obtain a freight bill and article circulation quantity information set, wherein the freight bill and article circulation quantity information in the freight bill and article circulation quantity information set comprises freight bill quantity of a first operation mode, article circulation quantity of each three-level category article of each article circulation unit in a second operation mode and freight bill quantity of a first distribution mode of each third-level address; summarizing the quantity of the shipping slips of the first operation mode, the quantity of the article transfer of each third-level category article of each article transfer unit of the second operation mode and the quantity of the shipping slips of the first delivery mode of each third-level address in each shipping slip and article transfer quantity information set to generate total shipping slip quantity, so as to obtain a total shipping slip quantity set; splitting each total freight bill in the total freight bill volume set according to the pre-generated freight bill splitting proportion of each first-last sorting flow direction and the freight bill splitting proportion of each third-level address to generate a sorting center freight bill volume group, a transportation route freight bill volume group and a third-level address freight bill volume group, so as to obtain a sorting center freight bill volume group set, a transportation route freight bill volume group set and a third-level address freight bill volume group set; and according to the pre-generated waybill splitting proportion information of each distribution point, summarizing and splitting each third-level address waybill quantity group in the third-level address waybill quantity group set to obtain the distribution point waybill quantity group set.
Computer program code for carrying out operations for some embodiments of the present disclosure may be written in one or more programming languages, including an object oriented programming language such as Java, smalltalk, C ++ and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any kind of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or may be connected to an external computer (for example, through the Internet using an Internet service provider).
The flowcharts and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present disclosure. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
The units described in some embodiments of the present disclosure may be implemented by means of software, or may be implemented by means of hardware. The described units may also be provided in a processor, for example, described as: a processor includes a generation unit, a summary unit, a split unit, and a summary and split unit. The names of these units do not limit the units themselves in some cases, and the generation unit may be described as a "unit that generates a waybill and item flow amount information" for example.
The functions described above herein may be performed, at least in part, by one or more hardware logic components. For example, without limitation, exemplary types of hardware logic components that may be used include: a Field Programmable Gate Array (FPGA), an Application Specific Integrated Circuit (ASIC), an Application Specific Standard Product (ASSP), a system on a chip (SOC), a Complex Programmable Logic Device (CPLD), and the like.
Claims (20)
1. A waybill splitting method comprising:
generating a freight bill and article circulation quantity information of each day in a preset time period by using order data in a first historical time period to obtain a freight bill and article circulation quantity information set, wherein the freight bill and article circulation quantity information in the freight bill and article circulation quantity information set comprises freight bill quantity of a first operation mode, article circulation quantity of each three-level category article of each article circulation unit in a second operation mode and freight bill quantity of a first distribution mode of each third-level address;
Summarizing the quantity of the shipping slips of the first operation mode, the quantity of the article transfer of each three-level category article of each article transfer unit of the second operation mode and the quantity of the shipping slips of the first delivery mode of each third-level address in each shipping slip and article transfer quantity information set to generate total shipping slip quantity, so as to obtain a total shipping slip quantity set;
splitting each total freight bill in the total freight bill volume set according to the pre-generated freight bill splitting proportion of each first-last sorting flow direction and the freight bill splitting proportion of each third-level address to generate a sorting center freight bill volume set, a transportation route freight bill volume set and a third-level address freight bill volume set, so as to obtain a sorting center freight bill volume set, a transportation route freight bill volume set and a third-level address freight bill volume set;
and according to the pre-generated waybill splitting proportion information of each distribution point, summarizing and splitting each third-level address waybill quantity group in the third-level address waybill quantity group set to obtain the distribution point waybill quantity group set.
2. The method of claim 1, wherein the generating the shipping bill and the item circulation amount information for each day in the preset time period by using the order data in the first historical time period to obtain the shipping bill and the item circulation amount information set comprises:
Extracting characteristics of order data in the first historical time period to obtain characteristic data;
inputting the characteristic data into each prediction model in a preset prediction model pool to obtain each to-be-determined freight list and article flow quantity information set;
and determining the waybill and the article circulation quantity information set according to the various to-be-determined waybill and the article circulation quantity information set.
3. The method of claim 2, wherein the determining the set of waybill and item flow information from the respective set of pending waybill and item flow information comprises:
determining a prediction result grading value of each prediction model in the prediction model pool according to each pre-generated historical to-be-determined freight list and article circulation quantity information set and a pre-acquired reference freight list and article circulation quantity information set corresponding to each historical to-be-determined freight list and article circulation quantity information set;
selecting a prediction model with a prediction result score value meeting a preset condition from the prediction model pool as a target prediction model;
and selecting the to-be-determined freight list and the article circulation quantity information set output by the target prediction model from the to-be-determined freight list and the article circulation quantity information sets as the freight list and the article circulation quantity information set.
4. The method of claim 1, wherein the summarizing the manifest volume of the first operation mode, the item flow volume of each third-level category item of each item flow unit using the second operation mode, and the manifest volume of the first delivery mode of each third-level address included in each manifest and item flow volume information in the manifest and item flow volume information set to generate the total manifest volume includes:
summarizing the article circulation quantity of each three-level category article of each article circulation unit adopting a second operation mode, which is included in the freight note and article circulation quantity information, so as to obtain a total article circulation quantity;
carrying out bill conversion processing on the total article circulation quantity to obtain a total bill quantity of a second distribution mode under a second operation mode;
summarizing the freight bill quantity of the first delivery mode of each third-level address included in the freight bill and article circulation quantity information to obtain the total freight bill quantity of the first delivery mode;
and determining the sum of the quantity of the waybills of the first operation mode, the total quantity of the waybills of the second distribution mode under the second operation mode and the total quantity of the waybills of the first distribution mode as the total quantity of the waybills.
5. The method of claim 4, wherein the summarizing the item circulation amounts of the three-level items of each item circulation unit adopting the second operation mode included in the manifest and item circulation amount information to obtain a total item circulation amount includes:
the article circulation quantity of the articles of each third-level category of each article circulation unit adopting a second operation mode is summarized step by step, which is included in the waybill and article circulation quantity information, by utilizing the hierarchical corresponding relation among each third-level category, each second-level category and each first-level category, so as to obtain the article circulation quantity of the articles of each first-level category;
and determining the sum of the commodity circulation quantity of the first class commodity as the total commodity circulation quantity.
6. The method of claim 4, wherein the performing the bill quantity conversion processing on the total item flow quantity to obtain a total bill quantity of the second delivery mode in the second operation mode includes:
splitting the total article circulation quantity according to the pre-generated article circulation quantity splitting proportion of each warehouse to obtain the article circulation quantity corresponding to each warehouse;
converting the article circulation quantity corresponding to each warehouse into a second delivery mode freight bill quantity according to the freight bill conversion proportion of each warehouse generated in advance, and obtaining a second delivery mode freight bill quantity set;
And determining the sum of the quantity of the second delivery mode in the quantity set of the second delivery mode as the total quantity of the second delivery modes in the second operation mode.
7. The method of claim 4, wherein the summarizing the waybill amounts of the first delivery method of each third level address included in the waybill and item flow amount information to obtain a total waybill amount of the first delivery method includes:
step-by-step summarizing the freight bill quantity of the first delivery mode of each third-level address included in the freight bill and article flow quantity information by utilizing the hierarchical corresponding relation among each third-level address, each second-level address and each first-level address to obtain the freight bill quantity of the first delivery mode of each first-level address article;
and determining the sum of the waybill volumes of the first delivery modes of the first-level address objects as the total waybill volume of the first delivery modes.
8. The method of claim 1, wherein the splitting each total waybill volume in the total waybill volume set according to the pre-generated waybill splitting ratio of each first-last sort flow direction and the waybill splitting ratio of each third-level address to generate a sort center waybill volume group, a haul route waybill volume group, and a third-level address waybill volume group, respectively, comprises:
Splitting the total freight bill volume by utilizing the freight bill splitting proportion of each head-end sorting flow direction to obtain a sorting center freight bill volume group and a transportation route freight bill volume group;
and splitting the total freight bill volume by utilizing the freight bill splitting proportion of each third-level address to obtain a third-level address freight bill volume group.
9. The method of claim 8, wherein the splitting the total waybill volume to obtain a sorting center waybill volume group and a transportation route waybill volume group using the waybill splitting ratio of each head-to-tail sorting flow direction comprises:
and in response to determining that the date corresponding to the total freight bill quantity is in the period of insufficient capacity, adjusting the total freight bill quantity to obtain the daily sorting freight bill quantity.
10. The method of claim 8, wherein the splitting the total waybill volume using the waybill splitting ratio of the each head-to-tail sort flow direction to obtain a sorting center waybill volume group and a transportation route waybill volume group, further comprising:
and determining the total waybill quantity as the daily sorting waybill quantity in response to determining that the date corresponding to the total waybill quantity is outside the period of insufficient capacity.
11. The method according to claim 9 or 10, wherein the splitting the total waybill volume by using the waybill splitting ratio of the first and last sorting flows to obtain a sorting center waybill volume group and a transportation route waybill volume group, further comprises:
splitting the daily sorted waybill according to the waybill splitting proportion of each head-to-tail sorting flow direction to obtain the waybill quantity of each head-to-tail sorting circuit;
and carrying out simulation processing on the freight bill quantity of each first and last sorting line by utilizing pre-configured simulation parameters to obtain a sorting center freight bill quantity group and a transportation route freight bill quantity group.
12. The method of claim 6, wherein before generating the shipping bill and item circulation volume information for each day in the preset time period using the order data in the first historical time period, the method further comprises:
and determining the waybill splitting proportion of each first and last sorting flow direction, the waybill splitting proportion of each third-level address, the waybill splitting proportion information of each delivery point, the object flow splitting proportion of each warehouse and the waybill conversion proportion of each warehouse according to order data in a second historical time period, wherein the waybill splitting proportion information of each delivery point in the waybill splitting proportion information of each delivery point comprises at least one waybill splitting proportion.
13. The method of claim 12, wherein the summarizing and splitting each third-level address waybill volume group in the third-level address waybill volume group set according to the waybill splitting proportion information of each pre-generated delivery point to obtain the delivery point waybill volume group set, and the method comprises the following steps:
summarizing the traffic volumes of the third-level addresses in the traffic volume group of the third-level addresses into the traffic volumes of the second-level addresses by utilizing the corresponding relation between the third-level addresses and the second-level addresses, so as to obtain the traffic volume group of the second-level addresses;
and splitting the second-stage address waybill quantity in the second-stage address waybill quantity group according to the waybill splitting proportion information of each distribution point to obtain the distribution point waybill quantity group.
14. The method of claim 13, wherein the splitting the second-level address waybill volume in the second-level address waybill volume group according to the waybill splitting ratio information of each delivery point to obtain a delivery point waybill volume group comprises:
and splitting the second-stage address waybill volume in the second-stage address waybill volume group by utilizing the waybill splitting proportion matched with the date corresponding to the second-stage address waybill volume group in the waybill splitting proportion information of each distribution point to obtain the distribution point waybill volume group.
15. The method of claim 13, wherein the splitting the second-level address waybill volume in the second-level address waybill volume group by using the waybill splitting ratio matched with the date corresponding to the second-level address waybill volume group in the waybill splitting ratio information of each delivery point to obtain the delivery point waybill volume group comprises:
and in response to determining that the date corresponding to the second-level address waybill quantity group is in the period of insufficient capacity, adjusting each second-level address waybill quantity in the second-level address waybill quantity group to obtain the current day delivery quantity group.
16. The method of claim 13, wherein the splitting the second-level address waybill volume in the second-level address waybill volume group by using the waybill splitting ratio matched with the date corresponding to the second-level address waybill volume group in the waybill splitting ratio information of each delivery point to obtain the delivery point waybill volume group comprises:
and in response to determining that the date corresponding to the second-stage address waybill quantity group is outside the period of insufficient capacity, determining the second-stage address waybill quantity group as a current day delivery quantity group.
17. The method according to claim 15 or 16, wherein the splitting processing is performed on each second-level address waybill volume in the second-level address waybill volume group by using a waybill splitting ratio matched with a date corresponding to the second-level address waybill volume group in the waybill splitting ratio information of each delivery point, so as to obtain a delivery point waybill volume group, and further comprising:
and splitting the current day delivery volume in the current day delivery volume group by utilizing the waybill splitting proportion matched with the date corresponding to the second-stage address waybill volume group in the waybill splitting proportion information of each delivery point to obtain the delivery point waybill volume group.
18. A waybill splitting device comprising:
the generating unit is configured to generate the freight bill and the article circulation quantity information of each day in a preset time period by using the order data in the first historical time period to obtain a freight bill and article circulation quantity information set, wherein the freight bill and article circulation quantity information in the freight bill and article circulation quantity information set comprises the freight bill quantity of a first operation mode, the article circulation quantity of each third-level category article of each article circulation unit in a second operation mode and the freight bill quantity of a first distribution mode of each third-level address;
The summarizing unit is configured to summarize the freight bill quantity of the first operation mode, the article transfer quantity of each three-level category article of each article transfer unit adopting the second operation mode and the freight bill quantity of the first delivery mode of each third-level address included in each freight bill and article transfer quantity information in the freight bill and article transfer quantity information set so as to generate a total freight bill quantity, and a total freight bill quantity set is obtained;
the splitting unit is configured to split each total freight bill in the total freight bill volume set according to the pre-generated freight bill splitting proportion of each head-to-tail sorting flow direction and the freight bill splitting proportion of each third-level address respectively so as to generate a sorting center freight bill volume set, a transportation route freight bill volume set and a third-level address freight bill volume set, and a sorting center freight bill volume set, a transportation route freight bill volume set and a third-level address freight bill volume set are obtained;
the summarizing and splitting unit is configured to summarize and split each third-level address waybill volume group in the third-level address waybill volume group set according to the waybill splitting proportion information of each distribution point which is generated in advance, so as to obtain the distribution point waybill volume group set.
19. An electronic device, comprising:
one or more processors;
a storage device having one or more programs stored thereon,
when executed by the one or more processors, causes the one or more processors to implement the method of any of claims 1-17.
20. A computer readable medium having stored thereon a computer program, wherein the program when executed by a processor implements the method of any of claims 1-17.
Priority Applications (2)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202210423430.9A CN116992988A (en) | 2022-04-21 | 2022-04-21 | Method, device, electronic equipment and computer readable medium for splitting freight volume |
PCT/CN2023/079764 WO2023202244A1 (en) | 2022-04-21 | 2023-03-06 | Waybill volume splitting method and apparatus, and electronic device and computer-readable medium |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202210423430.9A CN116992988A (en) | 2022-04-21 | 2022-04-21 | Method, device, electronic equipment and computer readable medium for splitting freight volume |
Publications (1)
Publication Number | Publication Date |
---|---|
CN116992988A true CN116992988A (en) | 2023-11-03 |
Family
ID=88419039
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN202210423430.9A Pending CN116992988A (en) | 2022-04-21 | 2022-04-21 | Method, device, electronic equipment and computer readable medium for splitting freight volume |
Country Status (2)
Country | Link |
---|---|
CN (1) | CN116992988A (en) |
WO (1) | WO2023202244A1 (en) |
Family Cites Families (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN107133752B (en) * | 2016-02-29 | 2022-01-28 | 菜鸟智能物流控股有限公司 | Data processing for logistics distribution, and method and device for logistics distribution based on mobile terminal of distribution party |
CN111652439B (en) * | 2020-06-04 | 2024-02-23 | 上海燕汐软件信息科技有限公司 | Method and device for generating dispatch quantity of dispatch points and computer system |
WO2021262709A1 (en) * | 2020-06-23 | 2021-12-30 | Walmart Apollo, Llc | Systems and methods for controlling the merchandise being delivered to distribution centers |
CN113034090B (en) * | 2021-05-26 | 2021-09-03 | 北京每日优鲜电子商务有限公司 | Transportation equipment scheduling method and device, electronic equipment and computer readable medium |
CN113673938B (en) * | 2021-10-25 | 2022-02-18 | 北京每日优鲜电子商务有限公司 | Article sorting method, apparatus, electronic device and computer readable medium |
CN113988485B (en) * | 2021-12-24 | 2022-06-07 | 北京京东振世信息技术有限公司 | Site arrival amount prediction method and device, electronic equipment and computer readable medium |
-
2022
- 2022-04-21 CN CN202210423430.9A patent/CN116992988A/en active Pending
-
2023
- 2023-03-06 WO PCT/CN2023/079764 patent/WO2023202244A1/en unknown
Also Published As
Publication number | Publication date |
---|---|
WO2023202244A1 (en) | 2023-10-26 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN110782042B (en) | Method, device, equipment and medium for combining horizontal federation and vertical federation | |
Ma et al. | Development of a data-driven platform for transit performance measures using smart card and GPS data | |
CN111768030B (en) | Bank transportation distribution line planning method, device, equipment and medium | |
CN108805348A (en) | A kind of method and apparatus of intersection signal timing control optimization | |
CN113763700B (en) | Information processing method, information processing device, computer equipment and storage medium | |
CN111199459A (en) | Commodity recommendation method and device, electronic equipment and storage medium | |
CN109345166B (en) | Method and apparatus for generating information | |
CN114416900A (en) | Method and device for analyzing track stop point | |
CN109214732A (en) | Method, device and equipment for selecting logistics objects and determining logistics line overload | |
Deng et al. | Tourism destination preference prediction based on edge computing | |
CN106294676B (en) | A kind of data retrieval method of ecommerce government system | |
Xu et al. | A taxi dispatch system based on prediction of demand and destination | |
CN107358269A (en) | A kind of construction method of telecommunication user consumption portrait towards precision marketing | |
CN113011911B (en) | Data prediction method and device based on artificial intelligence, medium and electronic equipment | |
CN113255950B (en) | Method and device for optimizing logistics network | |
Massobrio et al. | A parallel micro evolutionary algorithm for taxi sharing optimization | |
CN115994726B (en) | Dispatch path adjustment method, dispatch path adjustment device, electronic equipment and computer readable medium | |
Vasyanin et al. | A Methodology of the Mathematical Modeling for Perspective Development of Nodes and Transport Routes in the Multicommodity Hierarchical Network. I. Optimization Problems | |
CN113011672A (en) | Logistics timeliness prediction method and device, electronic equipment and storage medium | |
CN109118131A (en) | Logistics data processing method and device | |
CN116992988A (en) | Method, device, electronic equipment and computer readable medium for splitting freight volume | |
CN113011921B (en) | Information pushing method and device, electronic equipment and readable storage medium | |
CN115099865A (en) | Data processing method and device | |
Shamsaimon et al. | Traffic flow prediction using long-short term memory technique for connected vehicles in smart cities | |
CN114663165A (en) | Site selection prediction method, site selection prediction device, site selection prediction apparatus, site selection prediction medium, and program product |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination |