CN110414879A - The method, apparatus and computer readable storage medium of multidomain treat-ment order - Google Patents
The method, apparatus and computer readable storage medium of multidomain treat-ment order Download PDFInfo
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Abstract
The disclosure proposes the method, apparatus and computer readable storage medium of a kind of multidomain treat-ment order, is related to order processing field.The disclosure is according to the sufficient situation of the inventory in artificial area and the inventory in automation area, in conjunction with the utilization rate of storage equipment of the production capacity and order for automating area in the case of automating area's outbound, it order can be reasonably determined still automates area in artificial area and be sorted, be conducive to the efficiency of operation for improving warehouse.
Description
Technical Field
The present disclosure relates to the field of order processing, and in particular, to a method, an apparatus, and a computer-readable storage medium for processing an order in a partitioned manner.
Background
With the rapid development of electronic commerce, the distribution requirement is higher and higher, and the improvement of the picking efficiency of the automated warehouse is more and more important.
In an Automated warehouse, goods on storage locations are transported to a picking station via a transport line or Automated handling equipment, such as an Automated Guided Vehicle (AGV), a shuttle Vehicle, a stacker, etc., and then manually or automatically picked to complete an order for delivery from the warehouse.
Disclosure of Invention
The inventors have found that manual sorting and automated sorting each have their advantages. For example, the efficiency of manual picking is more flexible, the picking efficiency can be improved by increasing staff, the picking of large-scale orders can be better dealt with, the labor cost can be saved by automatic picking, and the method is suitable for the picking of common-scale orders.
In view of this, the present disclosure provides a method, an apparatus, and a computer-readable storage medium for processing orders in a partitioned manner, which can reasonably determine whether the orders are sorted in a manual area or an automatic area, and is beneficial to improving the operation efficiency of a warehouse.
According to one aspect of the disclosure, a method for processing orders in a partition is provided, which includes:
in response to the received order, judging whether the inventory of the manual area and the inventory of the automatic area are sufficient relative to the inventory required by the order;
and determining whether the order is picked in the manual area or the automatic area according to the sufficient conditions of the inventory of the manual area and the inventory of the automatic area and by combining the capacity of the automatic area and the utilization rate of the storage equipment under the condition that the order is taken out of the automatic area.
In some embodiments, determining whether the order is picked in a manual zone or an automated zone comprises:
if the inventory of the manual area is sufficient and the inventory of the automatic area is not sufficient, determining that the order is selected in the manual area;
if the inventory of the manual area is insufficient and the inventory of the automatic area is sufficient, or if the inventory of the manual area and the inventory of the automatic area are insufficient, determining whether the order is picked in the manual area or the automatic area according to whether the capacity of the automatic area is sufficient;
and if the inventory of the manual area and the inventory of the automatic area are sufficient, determining whether the order is selected in the manual area preferentially or not according to the utilization rate of the storage equipment under the condition that the order is taken out of the automatic area, and determining whether the order is selected in the manual area or the automatic area according to whether the capacity of the automatic area is sufficient or not under the condition that the order is not selected in the manual area preferentially or not.
In some embodiments, determining whether the order is picked in a man-made zone or an automated zone based on whether capacity in the automated zone is sufficient comprises:
and determining that the order is picked in the automatic area under the condition that the capacity of the automatic area is sufficient, and determining that the order is picked in the manual area under the condition that the capacity of the automatic area is insufficient.
In some embodiments, determining whether to preferentially select the order for picking in the manual zone comprises:
and if the utilization rate of the storage equipment when the order is delivered from the automatic area is less than a preset utilization rate threshold value, preferentially selecting the order to be picked in the manual area.
In some embodiments, the method for determining the utilization rate of the storage device in the case that the order is taken out of the automation area comprises the following steps:
determining the quantity of storage equipment expected to be required by each commodity in the order according to the quantity of each commodity in the order and the storage capacity of each storage equipment for the commodity;
determining the utilization rate of the storage equipment when each commodity in the order is delivered from the warehouse according to the quantity of each commodity in the order, the storage capacity of each storage equipment to each commodity and the quantity of the storage equipment expected to be needed by each commodity;
and averaging the utilization rate of the storage equipment when each commodity in the order is taken out of the warehouse according to the utilization rate of the storage equipment when each commodity in the order is taken out of the warehouse, wherein the obtained average value is used as the utilization rate of the storage equipment when the order is taken out of the warehouse from the automation area.
In some embodiments, the method for determining whether the capacity of the automation region is sufficient comprises:
based on the automation area of the shuttle system or the stacker system, if Bo+Bd≤BtAnd Qo+Qd≤QtDetermining that the capacity of the automation area is sufficient;
based on the automation area of the automated guided vehicle,if Q iso+Qd≤QtDetermining that the capacity of the automation area is sufficient;
wherein, BoRepresenting the number of storage devices expected to be required for said order o, BdIndicating the number of storage devices to be handled by the elevator or stacker, BtIndicating the handling capacity of the elevator or stacker, QoRepresents the amount to pick, Q, of the order odRepresents a total amount to pick of unsoiled completed orders with an end of production time in the automation zone that is earlier than or equal to the order o, QtIndicating the workstation picking capability of the automation zone.
According to still another aspect of the present disclosure, an apparatus for processing orders in a partition is provided, including:
the judging module is used for responding to the received order and judging whether the stock of the manual area and the stock of the automatic area are sufficient relative to the stock required by the order;
and the determining module is used for determining whether the order is picked in the manual area or the automatic area according to the sufficient conditions of the inventory of the manual area and the inventory of the automatic area and by combining the capacity of the automatic area and the utilization rate of the storage equipment under the condition that the order is taken out of the automatic area.
In some embodiments, the determining module is to:
if the inventory of the manual area is sufficient and the inventory of the automatic area is not sufficient, determining that the order is selected in the manual area;
if the inventory of the manual area is insufficient and the inventory of the automatic area is sufficient, or if the inventory of the manual area and the inventory of the automatic area are insufficient, determining whether the order is picked in the manual area or the automatic area according to whether the capacity of the automatic area is sufficient;
and if the inventory of the manual area and the inventory of the automatic area are sufficient, determining whether the order is selected in the manual area preferentially or not according to the utilization rate of the storage equipment under the condition that the order is taken out of the automatic area, and determining whether the order is selected in the manual area or the automatic area according to whether the capacity of the automatic area is sufficient or not under the condition that the order is not selected in the manual area preferentially or not.
In some embodiments, determining whether the order is picked in a man-made zone or an automated zone based on whether capacity in the automated zone is sufficient comprises:
and determining that the order is picked in the automatic area under the condition that the capacity of the automatic area is sufficient, and determining that the order is picked in the manual area under the condition that the capacity of the automatic area is insufficient.
In some embodiments, determining whether to preferentially select the order for picking in the manual zone comprises:
and if the utilization rate of the storage equipment when the order is delivered from the automatic area is less than a preset utilization rate threshold value, preferentially selecting the order to be picked in the manual area.
In some embodiments, the method for determining the utilization rate of the storage device in the case that the order is taken out of the automation area comprises the following steps:
determining the quantity of storage equipment expected to be required by each commodity in the order according to the quantity of each commodity in the order and the storage capacity of each storage equipment for the commodity;
determining the utilization rate of the storage equipment when each commodity in the order is delivered from the warehouse according to the quantity of each commodity in the order, the storage capacity of each storage equipment to each commodity and the quantity of the storage equipment expected to be needed by each commodity;
and averaging the utilization rate of the storage equipment when each commodity in the order is taken out of the warehouse according to the utilization rate of the storage equipment when each commodity in the order is taken out of the warehouse, wherein the obtained average value is used as the utilization rate of the storage equipment when the order is taken out of the warehouse from the automation area.
In some embodiments, the method for determining whether the capacity of the automation region is sufficient comprises:
based on the automation area of the shuttle system or the stacker system, if Bo+Bd≤BtAnd Qo+Qd≤QtDetermining that the capacity of the automation area is sufficient;
based onAutomation zone of automated guided vehicles, if Qo+Qd≤QtDetermining that the capacity of the automation area is sufficient;
wherein, BoRepresenting the number of storage devices expected to be required for said order o, BdIndicating the number of storage devices to be handled by the elevator or stacker, BtIndicating the handling capacity of the elevator or stacker, QoRepresents the amount to pick, Q, of the order odRepresents a total amount to pick of unsoiled completed orders with an end of production time in the automation zone that is earlier than or equal to the order o, QtIndicating the workstation picking capability of the automation zone.
According to still another aspect of the present disclosure, an apparatus for processing orders in a partitioned manner is provided, including:
a memory; and
a processor coupled to the memory, the processor configured to perform the method of partition processing orders of any of the foregoing embodiments based on instructions stored in the memory.
According to yet another aspect of the present disclosure, a computer-readable storage medium is proposed, on which a computer program is stored, which when executed by a processor implements the method of partition processing orders of any of the preceding embodiments.
According to the method and the system, the order can be reasonably determined to be selected in the manual area or the automatic area according to the sufficient conditions of the inventory of the manual area and the inventory of the automatic area and by combining the capacity of the automatic area and the utilization rate of the storage equipment under the condition that the order is taken out of the automatic area, and the operation efficiency of a warehouse is favorably improved.
Drawings
The drawings that will be used in the description of the embodiments or the related art will be briefly described below. The present disclosure will be more clearly understood from the following detailed description, which proceeds with reference to the accompanying drawings,
it is to be understood that the drawings in the following description are merely exemplary of the disclosure, and that other drawings may be derived from those drawings by one of ordinary skill in the art without undue inventive faculty.
FIG. 1 is a flow diagram illustrating some embodiments of a method for partition processing of orders according to the present disclosure.
FIG. 2 is a flow diagram illustrating additional embodiments of a method for partition order processing according to the present disclosure.
FIG. 3 is a schematic view of an automated warehouse of the shuttle system of the present disclosure.
FIG. 4 is a block diagram of some embodiments of an apparatus for processing orders in a partition according to the disclosure.
FIG. 5 is a block diagram illustrating an example of an apparatus for processing an order in a partition according to the present disclosure.
Detailed Description
The technical solutions in the embodiments of the present disclosure will be clearly and completely described below with reference to the drawings in the embodiments of the present disclosure.
FIG. 1 is a flow diagram illustrating some embodiments of a method for partition processing of orders according to the present disclosure.
As shown in fig. 1, the method of this embodiment includes: 110 to 120.
In step 110, in response to the received order, it is determined whether the inventory of the manual area and the inventory of the automation area are sufficient relative to the inventory amount required for the order.
At step 120, it is determined whether the order is to be picked in the manual area or the automated area based on the sufficient inventory in the manual area and the automated area, in combination with the capacity of the automated area and the utilization of the storage device in the event that the order is to be picked from the automated area.
According to the embodiment, the orders can be reasonably determined to be sorted in the manual area or the automatic area according to the sufficient conditions of the inventory of the manual area and the inventory of the automatic area and by combining the capacity of the automatic area and the utilization rate of the storage equipment under the condition that the orders are taken out of the automatic area, and the operation efficiency of a warehouse is improved.
FIG. 2 is a flow diagram illustrating additional embodiments of a method for partition order processing according to the present disclosure.
As shown in fig. 2, the method of this embodiment includes: step 210-220 d.
In step 210, in response to the received order, it is determined whether the inventory of the manual area and the inventory of the automation area are sufficient relative to the inventory amount required for the order.
At step 220a, if the inventory of the manual zone is sufficient and the inventory of the automation zone is insufficient, it is determined that the order was picked in the manual zone.
Thus, the order needs are met to the greatest extent possible based on the inventory available. And if the commodity warehouse-out scale related to the order is large, the manual area can improve the picking efficiency through the staff.
At step 220b, if the inventory in the manual area is insufficient and the inventory in the automation area is sufficient, it is determined whether the order is to be picked in the manual area or the automation area based on whether the capacity in the automation area is sufficient.
And determining that the order is picked in the automatic area under the condition that the capacity of the automatic area is sufficient, and determining that the order is picked in the manual area under the condition that the capacity of the automatic area is insufficient.
Thus, the ability to maximize the use of automation zones reduces labor costs.
At step 220c, if the inventory in the manual area and the inventory in the automation area are not sufficient, it is determined whether the order is to be picked in the manual area or the automation area based on whether the capacity in the automation area is sufficient.
And determining that the order is picked in the automatic area under the condition that the capacity of the automatic area is sufficient, and determining that the order is picked in the manual area under the condition that the capacity of the automatic area is insufficient.
Thus, the ability to maximize the use of automation zones reduces labor costs.
In step 220d, if the inventory in the manual area and the inventory in the automation area are both sufficient, it is determined whether to preferentially select an order for picking in the manual area based on the utilization rate of the storage device when the order is taken out of the automation area.
In some embodiments, orders are preferentially selected for picking in the manual zone if the utilization of the storage devices with the orders being taken out of the automated zone is less than a preset utilization threshold.
In the case where the order is selected preferentially for picking in the manual zone, then the order is picked in the manual zone. And under the condition that the orders are not selected to be picked in the manual area preferentially, determining whether the orders are picked in the manual area or the automatic area according to whether the capacity of the automatic area is sufficient.
And determining that the order is picked in the automatic area under the condition that the capacity of the automatic area is sufficient, and determining that the order is picked in the manual area under the condition that the capacity of the automatic area is insufficient.
Thus, the ability to maximize the use of automation zones reduces labor costs.
According to the characteristics of the manual area picking mode and the automatic area picking mode, the order is intelligently determined to be picked in the manual area or the automatic area, the labor cost is reduced by utilizing the capacity of the automatic area to the maximum extent, and the operation efficiency of the warehouse is favorably improved.
In some embodiments, the method for determining whether the capacity of the automation region is sufficient comprises: based on the automation area of the shuttle system or the stacker system, if Bo+Bd≤BtAnd Qo+Qd≤QtThe capacity of the automation area is determined to be sufficient. Based on the automated guided vehicle, if Qo+Qd≤QtThe capacity of the automation area is determined to be sufficient.
Wherein, BoIndicating the number of storage devices expected to be required for the order o, BdIndicating the number of storage devices to be handled by the elevator or stacker, BtIndicating the handling capacity of the elevator or stacker, QoIndicating the quantity to be picked, Q, of order odRepresents the total amount to be picked of unsoiled completed orders with an end of production time in the automation zone that is earlier than or equal to order o, QtIndicating the workstation picking capability of the automation zone.
The following describes a method for determining whether the capacity of the automation area based on the shuttle system is sufficient, taking the automatic warehouse based on the shuttle system as an example.
FIG. 3 is a schematic view of an automated warehouse of the shuttle system of the present disclosure.
As shown in fig. 3, the automated warehouse includes, for example, a plurality of shelves 310, shuttles 320, lifts 330, and picking stations 340. The storage positions of the shelves 310 are provided with bins for storing goods. There are various types of bins, such as 1/1 boxes (for one commodity), 1/2 boxes (for two commodities, with one partition in the middle of the bin), 1/4 boxes (for four commodities, with three partitions in the middle of the bin), and so on. The shelves 310 may be double deep, i.e., include a front row of storage locations and a rear row of storage locations. Under the condition that the front row storage position and the rear row storage position are provided with workbins, if the workbin of the rear row storage position needs to be taken, the workbin of the front row storage position needs to be taken away firstly. The shuttle 320 moves horizontally on one floor, takes out a bin to be delivered from the storage position, and then delivers the bin to the delivery buffer position of each floor. The ex-warehouse buffer position of each layer can temporarily store 2 workbins. The elevator 330 takes bins from the out-of-store buffer locations, up to 2 bins at a time, and then feeds them onto a conveyor line, through which the bins are conveyed to a picking station 340 for picking. The picking station 340 may be a manual picking station or an automated picking station.
Assuming that the document o is received, the method for determining whether the capacity of the automation area of the shuttle system is sufficient comprises the following steps:
firstly, judging whether a work station in an automation area is provided with a slot for producing the document o, if not, returning to the condition of insufficient capacity, and if so, continuing to execute the subsequent steps.
Second, the associated time information is marked: the current time is recorded as TcThe end of production time of the document o is recorded as Tf. The end production time refers to the time at which picking is required to be completed and ex-warehouse at the latest.
Next, the parameter B is determinedo(order o expected number of bins required), Bd(number of bins to be processed by the hoist), Bt(processing capacity of hoist), Qo(amount to be picked of order o), Qd(total amount to be picked for unsoiled completed orders with end of production time earlier than or equal to order o in the automation zone), Qt(workstation picking capability of automation zone).
1. Calculating the number B of bins expected to be required for the order oo。
1) Summarizing the bill o and the warehouse-out requirement of the bill to be produced of which the production ending time is earlier than or equal to that of the bill o according to a Stock Keeping Unit (SKU).
A. Stock-leaving SKU: s ═ S }.
B. And (3) the warehouse-out amount corresponding to each SKU to be warehouse-out: { q ] qs}。
2) The average bin stock in the current stock of each SKUs is marked as Cs。
Alternatively, CsFor example, it may be the median or maximum quantile of a quartile of the amount of one bin stock in the current inventory of each SKUs.
3) The average number of SKU product classes P picked in a single bin over a period of time (such as approximately 1 hour) is counted.
4) Calculation of Bo：
Wherein,indicating a ceiling operation.
2. Checking the number of the bins to be lifted by the hoister according to the current unfinished ex-warehouse task, and recording as Bd。
3. Calculating the processing capacity B of the elevatort：
Bt＝π1B·(Tf-Tc),π1∈(0,1]
Wherein, B is the peak value of the total output box number per unit time of the hoister of each tunnel, pi1The efficiency coefficient is considered, that is, the case where the lifting efficiency cannot reach the peak value is considered.
4. Calculating the to-be-sorted quantity of the document o as Qo：
1) The document o has a SKU to be delivered: s '{ S' };
2) the delivery amount corresponding to each to-be-delivered SKU of the document o is as follows: { q ] qs′}；
3) Calculating the to-be-sorted quantity of the document o as Qo：
5. Counting the total quantity to be picked of the unsorted finished order with the production ending time of the robot bin earlier than or equal to the document o, and recording the total quantity as Qd。
6. Computing workstation picking capacity Q of an automation zonet：
Qt＝π2WQ·(Tf-Tc),π2∈(0,1]
Wherein the starting number of the current picking work stations is W, the peak value of the picking amount of a single work station in unit time is Q, pi2The efficiency factor is considered, i.e. the case where the picking efficiency does not reach a peak value.
Finally, the judgment is made according to the parameters, if B iso+Bd≤BtAnd Qo+Qd≤QtIf not, the productivity of the automation area is judged to be insufficient.
Whether the capacity of the automation area based on the stacker system and the automation area based on the automatic guided transporting vehicle is sufficient or not can be referred to a determination method for determining whether the capacity of the automation area based on the shuttle system is sufficient or not.
In some embodiments, a method for determining utilization of a storage device in the event an order is taken out of an automation area comprises: determining the quantity of storage equipment expected to be required by each commodity in the order according to the quantity of each commodity in the order and the storage capacity of each storage equipment for the commodity; determining the utilization rate of the storage equipment when each commodity in the order is delivered from the warehouse according to the quantity of each commodity in the order, the storage capacity of each storage equipment to each commodity and the quantity of the storage equipment expected to be needed by each commodity; and averaging the utilization rate of the storage equipment when each commodity in the order is taken out of the warehouse according to the utilization rate of the storage equipment when each commodity in the order is taken out of the warehouse, wherein the obtained average value is used as the utilization rate of the storage equipment when the order is taken out of the warehouse from the automatic area.
The formula of the method for determining the utilization rate of the storage device when each commodity in the order is delivered out of the warehouse is as follows:
wherein, Cs7And the average storage amount of a material box in the current stock of each type of documents o to be delivered SKUs' is represented, or the storage amount corresponding to the median of quartiles or the maximum quantile. For other symbols, see the above.
If u is<θu，θuAnd if the utilization rate is a preset utilization rate threshold value, the orders are preferentially selected to be picked in the manual area.
FIG. 4 is a block diagram of some embodiments of an apparatus for processing orders in a partition according to the disclosure.
As shown in fig. 4, the apparatus of this embodiment includes: modules 410-420.
A determining module 410, configured to determine whether the inventory of the manual area and the inventory of the automation area are sufficient relative to the inventory required by the order in response to the received order.
The determining module 420 is configured to determine whether the order is picked in the manual area or the automatic area according to the sufficient conditions of the inventory in the manual area and the inventory in the automatic area, and by combining the capacity of the automatic area and the utilization rate of the storage device when the order is taken out of the automatic area.
In some embodiments, the determining module 420 is configured to:
if the inventory of the manual area is sufficient and the inventory of the automatic area is insufficient, determining that the order is selected in the manual area;
if the inventory of the manual area is insufficient and the inventory of the automatic area is sufficient, or if the inventory of the manual area and the inventory of the automatic area are insufficient, determining whether the order is selected in the manual area or the automatic area according to whether the capacity of the automatic area is sufficient;
and if the inventory of the manual area and the inventory of the automatic area are sufficient, determining whether the orders are selected in the manual area preferentially or not according to the utilization rate of the storage equipment under the condition that the orders are taken out of the automatic area, and determining whether the orders are selected in the manual area or the automatic area according to whether the capacity of the automatic area is sufficient or not under the condition that the orders are not selected in the manual area preferentially.
In some embodiments, determining whether the order is picked in the manual zone or the automated zone based on whether the capacity of the automated zone is sufficient comprises: and determining that the order is picked in the automatic area under the condition that the capacity of the automatic area is sufficient, and determining that the order is picked in the manual area under the condition that the capacity of the automatic area is insufficient.
In some embodiments, determining whether to prioritize orders for picking in the labor zone includes: and if the utilization rate of the storage equipment under the condition that the orders are delivered from the automatic area is less than a preset utilization rate threshold value, preferentially selecting the orders to be picked in the manual area.
In some embodiments, a method for determining utilization of a storage device in the event an order is taken out of an automation area comprises:
determining the quantity of storage equipment expected to be required by each commodity in the order according to the quantity of each commodity in the order and the storage capacity of each storage equipment for the commodity;
determining the utilization rate of the storage equipment when each commodity in the order is delivered from the warehouse according to the quantity of each commodity in the order, the storage capacity of each storage equipment to each commodity and the quantity of the storage equipment expected to be needed by each commodity;
and averaging the utilization rate of the storage equipment when each commodity in the order is taken out of the warehouse according to the utilization rate of the storage equipment when each commodity in the order is taken out of the warehouse, wherein the obtained average value is used as the utilization rate of the storage equipment when the order is taken out of the warehouse from the automatic area.
In some embodiments, the method for determining whether the capacity of the automation region is sufficient comprises:
based on the automation area of the shuttle system or the stacker system, if Bo+Bd≤BtAnd Qo+Qd≤QtDetermining that the capacity of the automation area is sufficient;
based on the automated guided vehicle, if Qo+Qd≤QtDetermining that the capacity of the automation area is sufficient;
wherein, BoIndicating the number of storage devices expected to be required for the order o, BdIndicating the number of storage devices to be handled by the elevator or stacker, BtIndicating the handling capacity of the elevator or stacker, QoIndicating the quantity to be picked, Q, of order odRepresents the total amount to be picked of unsoiled completed orders with an end of production time in the automation zone that is earlier than or equal to order o, QtIndicating the workstation picking capability of the automation zone.
FIG. 5 is a block diagram illustrating an example of an apparatus for processing an order in a partition according to the present disclosure. As shown in fig. 5, the apparatus of this embodiment includes: a memory 510 and a processor 520 coupled to the memory 510, the processor 520 being configured to perform a method of processing orders in a partition according to any of the embodiments described above based on instructions stored in the memory 510.
Memory 510 may include, for example, system memory, fixed non-volatile storage media, and the like. The system memory stores, for example, an operating system, an application program, a Boot Loader (Boot Loader), and other programs.
The apparatus of this embodiment may also include an input-output interface 530, a network interface 540, a storage interface 550, and the like. These interfaces 530, 540, 550 and the connections between the memory 510 and the processor 520 may be, for example, via a bus 560. The input/output interface 530 provides a connection interface for input/output devices such as a display, a mouse, a keyboard, and a touch screen. The network interface 540 provides a connection interface for various networking devices. The storage interface 550 provides a connection interface for external storage devices such as an SD card and a usb disk.
The embodiment of the present disclosure also provides a computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements the method for processing orders by partitions in any of the foregoing embodiments.
As will be appreciated by one skilled in the art, embodiments of the present disclosure may be provided as a method, system, or computer program product. Accordingly, the present disclosure may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present disclosure may take the form of a computer program product embodied on one or more computer-usable non-transitory storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present disclosure is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the disclosure. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
The above description is only exemplary of the present disclosure and is not intended to limit the present disclosure, so that any modification, equivalent replacement, or improvement made within the spirit and principle of the present disclosure should be included in the scope of the present disclosure.
Claims (14)
1. A method of zoned processing of orders, comprising:
in response to the received order, judging whether the inventory of the manual area and the inventory of the automatic area are sufficient relative to the inventory required by the order;
and determining whether the order is picked in the manual area or the automatic area according to the sufficient conditions of the inventory of the manual area and the inventory of the automatic area and by combining the capacity of the automatic area and the utilization rate of the storage equipment under the condition that the order is taken out of the automatic area.
2. The method of claim 1, wherein determining whether the order is picked in a manual zone or an automated zone comprises:
if the inventory of the manual area is sufficient and the inventory of the automatic area is not sufficient, determining that the order is selected in the manual area;
if the inventory of the manual area is insufficient and the inventory of the automatic area is sufficient, or if the inventory of the manual area and the inventory of the automatic area are insufficient, determining whether the order is picked in the manual area or the automatic area according to whether the capacity of the automatic area is sufficient;
and if the inventory of the manual area and the inventory of the automatic area are sufficient, determining whether the order is selected in the manual area preferentially or not according to the utilization rate of the storage equipment under the condition that the order is taken out of the automatic area, and determining whether the order is selected in the manual area or the automatic area according to whether the capacity of the automatic area is sufficient or not under the condition that the order is not selected in the manual area preferentially or not.
3. The method of claim 2, wherein determining whether the order is picked in a manual zone or an automated zone based on whether capacity in the automated zone is sufficient comprises:
and determining that the order is picked in the automatic area under the condition that the capacity of the automatic area is sufficient, and determining that the order is picked in the manual area under the condition that the capacity of the automatic area is insufficient.
4. The method of claim 2, wherein determining whether to preferentially select the order for picking in a man-made area comprises:
and if the utilization rate of the storage equipment when the order is delivered from the automatic area is less than a preset utilization rate threshold value, preferentially selecting the order to be picked in the manual area.
5. The method of any of claims 2-4, wherein determining the utilization of the storage device in the event the order is taken out of the automated area comprises:
determining the quantity of storage equipment expected to be required by each commodity in the order according to the quantity of each commodity in the order and the storage capacity of each storage equipment for the commodity;
determining the utilization rate of the storage equipment when each commodity in the order is delivered from the warehouse according to the quantity of each commodity in the order, the storage capacity of each storage equipment to each commodity and the quantity of the storage equipment expected to be needed by each commodity;
and averaging the utilization rate of the storage equipment when each commodity in the order is taken out of the warehouse according to the utilization rate of the storage equipment when each commodity in the order is taken out of the warehouse, wherein the obtained average value is used as the utilization rate of the storage equipment when the order is taken out of the warehouse from the automation area.
6. The method of any one of claims 2 to 4, wherein the determining whether the capacity of the automation zone is sufficient comprises:
based on the automation area of the shuttle system or the stacker system, if Bo+Bd≤BtAnd Qo+Qd≤QtDetermining that the capacity of the automation area is sufficient;
based on the automated guided vehicle, if Qo+Qd≤QtDetermining that the capacity of the automation area is sufficient;
wherein, BoRepresenting the number of storage devices expected to be required for said order o, BdIndicating the number of storage devices to be handled by the elevator or stacker, BtIndicating the handling capacity of the elevator or stacker, QoRepresents the amount to pick, Q, of the order odRepresents a total amount to pick of unsoiled completed orders with an end of production time in the automation zone that is earlier than or equal to the order o, QtIndicating the workstation picking capability of the automation zone.
7. An apparatus for zoned processing of orders, comprising:
the judging module is used for responding to the received order and judging whether the stock of the manual area and the stock of the automatic area are sufficient relative to the stock required by the order;
and the determining module is used for determining whether the order is picked in the manual area or the automatic area according to the sufficient conditions of the inventory of the manual area and the inventory of the automatic area and by combining the capacity of the automatic area and the utilization rate of the storage equipment under the condition that the order is taken out of the automatic area.
8. The apparatus of claim 7, wherein the means for determining is configured to:
if the inventory of the manual area is sufficient and the inventory of the automatic area is not sufficient, determining that the order is selected in the manual area;
if the inventory of the manual area is insufficient and the inventory of the automatic area is sufficient, or if the inventory of the manual area and the inventory of the automatic area are insufficient, determining whether the order is picked in the manual area or the automatic area according to whether the capacity of the automatic area is sufficient;
and if the inventory of the manual area and the inventory of the automatic area are sufficient, determining whether the order is selected in the manual area preferentially or not according to the utilization rate of the storage equipment under the condition that the order is taken out of the automatic area, and determining whether the order is selected in the manual area or the automatic area according to whether the capacity of the automatic area is sufficient or not under the condition that the order is not selected in the manual area preferentially or not.
9. The apparatus of claim 8, wherein determining whether the order is picked in a manual zone or an automated zone based on whether capacity in the automated zone is sufficient comprises:
and determining that the order is picked in the automatic area under the condition that the capacity of the automatic area is sufficient, and determining that the order is picked in the manual area under the condition that the capacity of the automatic area is insufficient.
10. The apparatus of claim 8, wherein determining whether to preferentially select the order for picking in a man-made area comprises:
and if the utilization rate of the storage equipment when the order is delivered from the automatic area is less than a preset utilization rate threshold value, preferentially selecting the order to be picked in the manual area.
11. The apparatus of any of claims 8-10, wherein the method of determining utilization of a storage device in the event the order is taken out of an automated area comprises:
determining the quantity of storage equipment expected to be required by each commodity in the order according to the quantity of each commodity in the order and the storage capacity of each storage equipment for the commodity;
determining the utilization rate of the storage equipment when each commodity in the order is delivered from the warehouse according to the quantity of each commodity in the order, the storage capacity of each storage equipment to each commodity and the quantity of the storage equipment expected to be needed by each commodity;
and averaging the utilization rate of the storage equipment when each commodity in the order is taken out of the warehouse according to the utilization rate of the storage equipment when each commodity in the order is taken out of the warehouse, wherein the obtained average value is used as the utilization rate of the storage equipment when the order is taken out of the warehouse from the automation area.
12. The apparatus of any one of claims 8-10, wherein the method for determining whether the capacity of the automation zone is sufficient comprises:
based on the automation area of the shuttle system or the stacker system, if Bo+Bd≤BtAnd Qo+Qd≤QtDetermining that the capacity of the automation area is sufficient;
based on the automated guided vehicle, if Qo+Qd≤QtDetermining that the capacity of the automation area is sufficient;
wherein, BoRepresenting the number of storage devices expected to be required for said order o, BdIndicating the number of storage devices to be handled by the elevator or stacker, BtIndicating the handling capacity of the elevator or stacker, QoRepresents the amount to pick, Q, of the order odRepresents a total amount to pick of unsoiled completed orders with an end of production time in the automation zone that is earlier than or equal to the order o, QtIndicating the workstation picking capability of the automation zone.
13. An apparatus for zoned processing of orders, comprising:
a memory; and
a processor coupled to the memory, the processor configured to perform the method of partition processing orders of any of claims 1-6 based on instructions stored in the memory.
14. A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the method of zone processing an order according to any one of claims 1 to 6.
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| CN201810402291.5A CN110414879A (en) | 2018-04-28 | 2018-04-28 | The method, apparatus and computer readable storage medium of multidomain treat-ment order |
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| CN201810402291.5A CN110414879A (en) | 2018-04-28 | 2018-04-28 | The method, apparatus and computer readable storage medium of multidomain treat-ment order |
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113128924A (en) * | 2020-01-16 | 2021-07-16 | 北京京东乾石科技有限公司 | Cargo scheduling method, cargo scheduling device and computer-readable storage medium |
| CN113780701A (en) * | 2020-07-30 | 2021-12-10 | 北京京东乾石科技有限公司 | Order shunting method and device |
| TWI820728B (en) * | 2021-06-11 | 2023-11-01 | 南韓商韓領有限公司 | Computerized system and computer-implemented methods for item order management |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| EP0943561A2 (en) * | 1998-03-18 | 1999-09-22 | Siemens Aktiengesellschaft | Method and device for commissioning commercial products |
| CN101146624A (en) * | 2005-02-16 | 2008-03-19 | 皇家Tnt邮政有限公司 | Sorting center and method for sorting and combining mail and a sorting cabinet and buffer assembly for use therein |
| US20160229633A1 (en) * | 2013-07-17 | 2016-08-11 | Dematic Systems Gmbh | Method of order fulfilling by preparing storage units at a picking station |
| CN105858045A (en) * | 2016-06-03 | 2016-08-17 | 北京极智嘉科技有限公司 | Automatic cargo picking system and automatic cargo picking method |
| CN106005866A (en) * | 2016-07-19 | 2016-10-12 | 青岛海通机器人系统有限公司 | Intelligent warehousing system based on mobile robots |
-
2018
- 2018-04-28 CN CN201810402291.5A patent/CN110414879A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| EP0943561A2 (en) * | 1998-03-18 | 1999-09-22 | Siemens Aktiengesellschaft | Method and device for commissioning commercial products |
| CN101146624A (en) * | 2005-02-16 | 2008-03-19 | 皇家Tnt邮政有限公司 | Sorting center and method for sorting and combining mail and a sorting cabinet and buffer assembly for use therein |
| US20160229633A1 (en) * | 2013-07-17 | 2016-08-11 | Dematic Systems Gmbh | Method of order fulfilling by preparing storage units at a picking station |
| CN105858045A (en) * | 2016-06-03 | 2016-08-17 | 北京极智嘉科技有限公司 | Automatic cargo picking system and automatic cargo picking method |
| CN106005866A (en) * | 2016-07-19 | 2016-10-12 | 青岛海通机器人系统有限公司 | Intelligent warehousing system based on mobile robots |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113128924A (en) * | 2020-01-16 | 2021-07-16 | 北京京东乾石科技有限公司 | Cargo scheduling method, cargo scheduling device and computer-readable storage medium |
| CN113780701A (en) * | 2020-07-30 | 2021-12-10 | 北京京东乾石科技有限公司 | Order shunting method and device |
| TWI820728B (en) * | 2021-06-11 | 2023-11-01 | 南韓商韓領有限公司 | Computerized system and computer-implemented methods for item order management |
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Application publication date: 20191105 |