CN110728483B - Rapid goods picking method - Google Patents
Rapid goods picking method Download PDFInfo
- Publication number
- CN110728483B CN110728483B CN201911005490.3A CN201911005490A CN110728483B CN 110728483 B CN110728483 B CN 110728483B CN 201911005490 A CN201911005490 A CN 201911005490A CN 110728483 B CN110728483 B CN 110728483B
- Authority
- CN
- China
- Prior art keywords
- order
- picking
- information
- goods
- warehouse
- 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.)
- Active
Links
Images
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
- G06Q10/08—Logistics, e.g. warehousing, loading or distribution; Inventory or stock management
- G06Q10/087—Inventory or stock management, e.g. order filling, procurement or balancing against orders
- G06Q10/0875—Itemisation or classification of parts, supplies or services, e.g. bill of materials
-
- 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
Landscapes
- Business, Economics & Management (AREA)
- Human Resources & Organizations (AREA)
- Engineering & Computer Science (AREA)
- Economics (AREA)
- Entrepreneurship & Innovation (AREA)
- Strategic Management (AREA)
- Marketing (AREA)
- Development Economics (AREA)
- Operations Research (AREA)
- Quality & Reliability (AREA)
- Tourism & Hospitality (AREA)
- Physics & Mathematics (AREA)
- General Business, Economics & Management (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Finance (AREA)
- Accounting & Taxation (AREA)
- Educational Administration (AREA)
- Game Theory and Decision Science (AREA)
Abstract
The application relates to a rapid picking method, a device, a computer device and a storage medium, wherein the method comprises the following steps: and setting a corresponding wave frequency plan for the order to be processed according to a wave frequency setting rule, wherein the wave frequency setting rule is generated based on the warehouse information and the order information. Determining a goods picking path according to the order information and the warehouse processing information in the order plan, determining goods to be delivered from the warehouse according to the goods picking path and the order information in the order plan, generating a goods picking order, and sending the goods picking order to the hand-held terminal so that the hand-held terminal executes order delivery operation on the goods to be delivered from the warehouse according to the goods picking order. The method simultaneously considers the warehouse information and the order information of the orders to be processed, combines and classifies the orders to be processed, can intensively process the orders in the same batch, reduces the order processing time, is not only limited to manually setting the picking path, can improve the rationality of the picking path, and further improves the order delivery efficiency.
Description
Technical Field
The present application relates to the field of computer technologies, and in particular, to a method and an apparatus for quickly picking a product, a computer device, and a storage medium.
Background
With the development of computer technology and the increasing popularization of electronic commerce in people's lives, more and more users select more convenient online shopping.
In a traditional online shopping process, a user can browse commodities on the internet and select required commodities to place an order, and after the user selects the commodities on the internet and places the order, a warehouse of an e-commerce needs to pick up goods and deliver goods according to the ordering requirement of the user. However, in the current order processing process, most orders are directly picked according to the sequence of order placing time of users, actual requirements of orders of different types are not considered, most of the following order picking paths are manually picked according to the storage positions, the path scene is single, the order picking paths are unreasonable and cannot meet various conditions, the order picking efficiency is low, and further the order delivery efficiency is low.
Disclosure of Invention
In view of the above, there is a need to provide a quick picking method, apparatus, computer device and storage medium capable of improving the order delivery efficiency.
A method of rapid picking, the method comprising:
setting a corresponding wave frequency plan for the order to be processed according to a wave frequency setting rule, wherein the wave frequency setting rule is generated based on warehouse information and order information;
determining a picking path according to the order information and the warehouse processing information in the wave frequency plan;
determining goods to be delivered according to the picking path and the order information in the wave frequency plan, and generating a picking order;
and sending the picking order to a hand-held terminal, so that the hand-held terminal executes order sign-out operation on the goods to be delivered according to the picking order.
In one embodiment, setting a corresponding wave-number plan for the to-be-processed order according to a wave-number setting rule includes:
acquiring a wave frequency setting rule set based on the warehouse information and the order information;
setting corresponding execution time and execution frequency for each order to be processed according to the wave frequency setting rule, and carrying out batch processing on each order to be processed;
and obtaining a corresponding wave-time plan according to the batch condition of each order to be processed.
In one embodiment, determining a pick path based on the order information and warehouse processing information in the wave time plan comprises:
determining a starting point of a picking path according to the order information;
determining a processable bin position with an unoccupied commodity bin position and an available path with an unoccupied connection path of any two processable bin positions in the order to be processed according to the order information and the warehouse processing information;
the shortest path composed of available paths passing through each processable storage position is searched by taking the starting point as a starting point and the delivery area as an end point to obtain a picking path.
In one embodiment, determining the goods to be delivered from the picking route and the order information in the order plan, and generating the picking order comprises:
acquiring information of each order in the wave frequency plan, and determining the picking sequence of each commodity to be delivered according to the information of each order;
and generating a corresponding order picking sheet according to the order picking sequence and the order picking path.
In one embodiment, before the setting a corresponding wave-order plan for the to-be-processed order according to the wave-order setting rule, the method further includes:
performing area division on the goods picking field according to the type of the goods shelf and the height of the goods shelf to generate warehouse information;
classifying the orders to be processed according to the picking mode, the logistics channel and the pre-shipment time to obtain order information of the orders to be processed in different batches;
and respectively generating wave frequency setting rules of different wave frequency plans based on the warehouse information and the order information of the orders to be processed in different batches.
In one embodiment, the sending the order picking order to a hand-held terminal, so that the hand-held terminal executes order sign-out operation on the goods to be delivered from the warehouse according to the order picking order comprises the following steps: and sending the picking order to a hand-held machine terminal, so that the hand-held machine terminal signs the goods to be delivered out of the warehouse according to the picking path corresponding to the picking order and the picking order sequence corresponding to the picking order.
In one embodiment, before determining the goods to be delivered from the delivery route and the order information in the order plan and generating the delivery order, the method comprises the following steps:
collecting all orders to be processed submitted by a user, and acquiring order processing time and order total amount of all the orders to be processed;
acquiring a preset requirement for triggering the wave frequency plan;
and triggering the wave frequency plan when the order processing time and the order total amount meet preset requirements.
A rapid pick-up device, the device comprising:
the system comprises a wave frequency plan setting module, a storage module and a processing module, wherein the wave frequency plan setting module is used for setting a corresponding wave frequency plan for an order to be processed according to a wave frequency setting rule, and the wave frequency setting rule is generated based on warehouse information and order information;
the picking path determining module is used for determining a picking path according to the order information and the warehouse processing information in the wave frequency plan;
the picking order generating module is used for determining goods to be delivered from the warehouse according to the picking path and the order information in the order plan and generating a picking order;
and the order sign-out module is used for sending the picking order to a hand-held terminal so that the hand-held terminal executes order sign-out operation on the goods to be delivered according to the picking order.
A computer device comprising a memory storing a computer program and a processor implementing the following steps when the computer program is executed:
setting a corresponding wave frequency plan for the order to be processed according to a wave frequency setting rule, wherein the wave frequency setting rule is generated based on warehouse information and order information;
determining a picking path according to the order information and the warehouse processing information in the wave frequency plan;
determining goods to be delivered according to the picking path and the order information in the wave frequency plan, and generating a picking order;
and sending the picking order to a hand-held terminal, so that the hand-held terminal executes order sign-out operation on the goods to be delivered according to the picking order.
A computer-readable storage medium, on which a computer program is stored which, when executed by a processor, carries out the steps of:
setting a corresponding wave frequency plan for the order to be processed according to a wave frequency setting rule, wherein the wave frequency setting rule is generated based on warehouse information and order information;
determining a picking path according to the order information and warehouse processing information in the wave frequency plan;
determining goods to be delivered according to the picking path and the order information in the wave frequency plan, and generating a picking order;
and sending the picking order to a hand-held terminal, so that the hand-held terminal executes order sign-out operation on the goods to be delivered according to the picking order.
According to the rapid picking method, the rapid picking device, the computer equipment and the storage medium, the corresponding wave frequency plan is set according to the wave frequency setting rule generated based on the warehouse information and the order information, the warehouse storage condition and the order information of the orders to be processed are considered at the same time, the orders to be processed are merged and classified, the orders in the same batch are processed in a centralized mode, and the order processing time can be reduced. The order picking path is determined according to the order information and the warehouse processing information in the wave frequency plan, the order picking path is not limited to be set manually, and the rationality of the order picking path can be improved. The goods to be delivered are determined according to the goods picking path and the order information in the order plan, the goods picking order is generated, the hand-held terminal receives the goods picking order and executes the order sign-out operation on the goods to be delivered according to the goods picking order, and the order delivery efficiency can be further improved on the basis of reducing the order processing time and improving the rationality of the goods picking path.
Drawings
FIG. 1 is a diagram illustrating an exemplary implementation of a method for picking a quick pick;
FIG. 2 is a schematic flow chart diagram illustrating a method for rapid picking in one embodiment;
FIG. 3 is a flow diagram illustrating the steps for determining a pick path in one embodiment;
FIG. 4 is a schematic diagram of a scheduling implementation of the method for rapid picking in one embodiment;
FIG. 5 is a block diagram of an embodiment of an apparatus for picking orders quickly;
FIG. 6 is a diagram of the internal structure of a computer device in one embodiment.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application.
The rapid picking method provided by the application can be applied to the application environment shown in fig. 1. Wherein the handset terminal 102 and the server 104 communicate over a network. The server 104 sets a corresponding wave frequency plan for the order to be processed according to a wave frequency setting rule, wherein the wave frequency setting rule is generated based on the warehouse information and the order information. The server 104 determines a picking path according to the order information and the warehouse processing information in the order plan, determines the goods to be delivered from the warehouse according to the picking path and the order information in the order plan, generates a picking order, and sends the picking order to the hand-held terminal 102, so that the hand-held terminal 102 performs order sign-out operation on the goods to be delivered from the warehouse according to the picking order. The handset terminal 102 may be, but not limited to, various personal computers, notebook computers, smart phones, tablet computers, and portable wearable devices, and the server 104 may be implemented by an independent server or a server cluster composed of a plurality of servers.
In one embodiment, as shown in fig. 2, a method for quickly picking a goods is provided, which is illustrated by taking the method as an example applied to the server in fig. 1, and comprises the following steps:
step S202, setting a corresponding wave frequency plan for the order to be processed according to a wave frequency setting rule, wherein the wave frequency setting rule is generated based on the warehouse information and the order information.
Specifically, by acquiring a wave setting rule set based on the warehouse information and the order information, setting corresponding execution time and execution frequency for each to-be-processed order according to the wave setting rule, performing batch processing on each to-be-processed order, and further obtaining a corresponding wave plan according to the batch condition of each to-be-processed order.
Furthermore, the wave setting rule is set in the warehouse management system, and based on the warehouse information and the order information generation, the corresponding warehouse information can be obtained by performing area division on the goods picking field according to the types and heights of the goods shelves in the warehouse. According to the picking mode, the logistics channel and the pre-shipment time, the orders to be processed are combined and classified, and order information of the orders to be processed in different batches can be obtained.
The wave-order plan is a method for improving the picking operation efficiency, different orders are combined into a wave-order according to a certain standard, the wave-order guides one-time picking, the order can be combined by taking the order as a unit, and materials in the order can also be combined, so that the order processing efficiency is improved, and the load of operation and the use of resources are balanced. Compared with the existing wave order rule, the current wave order setting rule is combined with the occupation condition of the pre-off-shelf library position of the system, and the wave order execution front system is combined with the wave order setting rule and the pre-off-shelf rule for operation to form an off-shelf picking order.
And step S204, determining a picking path according to the order information and the warehouse processing information in the wave frequency plan.
Specifically, the starting point of the picking path is determined according to the order information in the wave-time plan, the processable bin positions with unoccupied commodity bin positions in the order to be processed and the available path with unoccupied available paths of any two processable bin position connecting paths are determined according to the order information and the warehouse processing information, and then the shortest path formed by the available paths passing through the processable bin positions is searched by taking the starting point as the starting point and the delivery area as the end point to obtain the picking path.
The order information comprises order numbers of orders to be processed, the starting point of the picking path is determined according to the order numbers of the orders to be processed in the wave-time plan, and the starting point of the picking path is obtained by obtaining the order to be processed corresponding to the first order number in the same wave-time plan and obtaining the position of the commodity to be delivered out of the warehouse corresponding to the order to be processed in the warehouse.
Further, the position of each commodity to be delivered from the warehouse in the wave time plan is obtained from the order information, the occupation condition of the corresponding position is obtained from the warehouse information, and the commodity in the order to be processed is determined to be a processable position when the commodity is not occupied. And acquiring the occupation situation of the connection path of any two processable library bits from the warehouse information, and taking the connection path as an available path when the connection path of any two processable library bits is not occupied. The starting point of the picking path is used as the starting point, the delivery area where the goods are delivered out of the warehouse is used as the end point, and the shortest path formed by available paths passing through the processable warehouse positions is searched to obtain the picking path.
Step S206, determining the goods to be delivered according to the order information in the picking path and the order plan, and generating a picking order.
Specifically, the order information in the wave frequency plan is obtained, the picking sequence of each commodity to be delivered from the warehouse is determined according to the order information, and then the corresponding picking order is generated according to the picking sequence and the picking path.
The order number of each order to be processed in the order information is obtained, the picking sequence of the goods to be delivered out of the warehouse corresponding to the order number is determined according to the order number of each order to be processed, and then the corresponding picking order can be generated according to the picking sequence and the picking path.
Furthermore, each order in the same wave plan may be a batch of orders with similar processing time, may be the same goods type, and the goods to be delivered corresponding to the order in the same batch may all be large goods or all be small and medium goods. The order number of a batch of orders to be processed with similar processing time is determined according to the distance between the storage position of the goods to be delivered and the handheld terminal, and the order number of a batch of orders to be processed with the same goods type can be determined according to the order generation time.
And S208, sending the goods picking order to the hand-held terminal, so that the hand-held terminal executes order sign-out operation on the goods to be delivered according to the goods picking order.
Specifically, the picking orders are sent to the hand-held terminal, so that the hand-held terminal signs the commodities to be delivered out of the warehouse according to the picking paths corresponding to the picking orders and the picking orders.
Furthermore, the picking personnel logs in the handheld terminal of the jurisdiction area according to the logged account and the logged password, after the logging is successful, the picking order sent by the server can be checked, the received picking order is analyzed, the goods to be delivered in the same wave-time plan, the position of the goods to be delivered, the picking sequence and the picking path can be obtained, the goods to be delivered are obtained from the corresponding positions according to the obtained picking path, and when all the goods to be delivered in the same wave-time plan are in the delivery area, the order signing operation is carried out on all the goods to be delivered.
According to the rapid picking method, the corresponding wave frequency plan is set according to the wave frequency setting rule generated based on the warehouse information and the order information, the merging and classification processing are carried out on the orders to be processed by considering the warehouse storage condition and the order information of the orders to be processed, the orders in the same batch are processed in a centralized mode, and the order processing time can be reduced. The order picking path is determined according to the order information and the warehouse processing information in the wave frequency plan, the order picking path is not limited to be set manually, and the rationality of the order picking path can be improved. The goods to be delivered are determined according to the goods picking path and the order information in the order plan, the goods picking order is generated, the hand-held terminal receives the goods picking order and executes the order sign-out operation on the goods to be delivered according to the goods picking order, and the order delivery efficiency can be further improved on the basis of reducing the order processing time and improving the rationality of the goods picking path.
In one embodiment, as shown in fig. 3, the step of determining a pick-up path specifically includes the following steps S302 to S306:
in step S302, a starting point of the order picking path is determined according to the order information.
Specifically, the order information includes order numbers of the orders to be processed, the starting point of the picking path is determined according to the order numbers of the orders to be processed in the wave-time plan, the order to be processed corresponding to the first order number in the same wave-time plan is obtained, and the position of the goods to be delivered from the warehouse corresponding to the order to be processed in the warehouse is obtained and serves as the starting point of the picking path.
Further, the orders in the same wave plan may be a batch of orders with similar processing time, or a batch of orders with the same goods type. And aiming at a batch of orders to be processed with similar processing time, the closer the distance between the goods to be delivered corresponding to the orders to be processed and the hand-held machine terminal is, the closer the order number is. For a batch of orders to be processed with the same goods type, namely, the positions of the commodities to be delivered are the same or similar, the order generation time is earlier, and the order number is earlier.
Step S304, according to the order information and the warehouse processing information, determining the processable warehouse positions where the commodity warehouse positions in the order to be processed are not occupied and the available paths where any two processable warehouse position connection paths are not occupied.
Specifically, the position of each commodity to be delivered from the warehouse in the wave-order plan is obtained from the order information, and the occupation condition of the corresponding position is determined according to the warehouse information. And when the position of each commodity to be delivered from the warehouse is not occupied in the order to be processed, taking the position of each commodity to be delivered from the warehouse as a processable position. And acquiring the occupation conditions of the connection paths of any two processable library positions from the warehouse information, and taking the connection paths of the two selected processable library positions as available paths when the connection paths of the two selected processable library positions are determined to be unoccupied.
Step S306, using the starting point as the starting point and the delivery area as the end point, searching the shortest path formed by the available paths passing through the processable storage positions to obtain the picking path.
Specifically, the distance from the terminal of the handset to the starting point is calculated by taking the starting point of the picking path as the starting point and the delivery area for finally carrying out order sign-out operation as the end point, and the first processable location after the starting point is determined based on the distance between each processable location and the starting point and the path occupation between each processable location and the starting point, and so on, the second processable location is determined until the connected point is the delivery area according to the distance between the first processable location and any remaining processable location and the path occupation between the first processable location and any processable location, and the shortest path formed by available paths passing through each processable location is obtained and is the picking path.
In the step of determining the picking path, the occupied storage positions and the occupied paths are eliminated by simultaneously considering the occupation condition of the storage positions and the occupation condition of the paths in the warehouse, and the shortest path formed by the available paths passing through the processable storage positions is obtained on the basis, so that the conflict among the orders to be processed in different wave plans is avoided, and meanwhile, the picking efficiency can be further improved by adopting the shortest path picking path.
In one embodiment, as shown in FIG. 4, the wave fraction plan execution process includes:
1) and acquiring the set wave times execution rule, and performing logical verification on the wave times execution rule by using the logical verification rule.
Specifically, through performing logical verification on the wave-number execution rule, whether a logical error exists in the wave-number execution rule or not can be obtained, and when the logical error exists, the wave-number execution rule needs to be reset.
2) And when the logical verification passes, receiving and collecting each order to be processed submitted by the user, and acquiring the order processing time and the order total amount of each order to be processed.
3) And triggering the wave frequency plan when the order processing time and the order total amount meet the preset requirements corresponding to the wave frequency execution rule.
Specifically, the wave execution rule corresponds to preset wave execution requirements and comprises a total amount of orders to be processed and order processing time of the orders to be processed, when the order processing time of the orders to be processed is the same or within an allowable error, the orders to be processed are classified into the same batch, the number of the orders to be processed is counted, and when the preset total amount of the orders is reached, a wave plan is triggered.
4) And executing the wave-order plan, checking the currently collected orders according to the wave-order execution rule, generating a goods picking order corresponding to the wave-order plan when the currently collected orders accord with the wave-order execution rule, and executing the goods picking operation according to the goods picking order.
Specifically, whether the order to be processed currently collected meets the order execution rule is judged by checking, and when the order to be processed currently collected meets the order execution rule, a pick order corresponding to the current order plan is generated. The different wave-frequency plans correspond to different orders to be processed and different picking paths, so that the picking orders generated according to the order information and the picking paths are inconsistent.
In the wave-time plan execution process, the set wave-time execution rule is logically checked by using the logical check rule, when the logical check is passed, each order to be processed submitted by a user is received and collected, and the order processing time and the order total amount of each order to be processed are obtained. And when the order processing time and the order total amount accord with preset requirements corresponding to the wave-frequency execution rule, triggering and executing the wave-frequency plan, checking the currently collected order according to the wave-frequency execution rule, generating a picking order corresponding to the wave-frequency plan when the currently collected order accords with the wave-frequency execution rule, and executing picking operation according to the picking order.
In one embodiment, the step of setting a corresponding wave number plan for the to-be-processed order according to the wave number setting rule includes:
acquiring a wave frequency setting rule set based on the warehouse information and the order information; setting corresponding execution time and execution frequency for each order to be processed according to a wave setting rule, and carrying out batch processing on each order to be processed; and obtaining a corresponding wave-time plan according to the batch condition of each order to be processed.
Specifically, the goods picking field is divided into areas according to the types and heights of the shelves in the warehouse, so that corresponding warehouse information can be obtained.
Wherein, to carrying out area division with picking up goods place, including according to goods shelves type subregion, include: the original box area, the small storage position box area and the clamping plate area are classified according to the type of the goods shelf, so that the unification of goods units and goods sorting units can be realized, the unitized operation is convenient, and goods with different unit quantities can be stored in different types of the goods shelf. The goods picking place is divided into regions, and the goods picking places are further divided into regions according to the height of the goods shelf, wherein the regions comprise a low layer region and a high layer region, and due to the fact that the goods picking tools used by the low layer region and the high layer region are different, the requirements for goods picking personnel are also different, and the goods picking orders are convenient to distribute.
Furthermore, according to the picking mode, the logistics channel and the pre-shipment time, the orders to be processed are combined and classified, and order information of the orders to be processed in different batches can be obtained.
The order sorting system comprises a sorting module, a sorting module and a sorting module, wherein the sorting module is used for sorting orders according to the order sorting mode, two order sorting modes of centralized order sorting and secondary sorting are set, the orders of the centralized order sorting are single-product single-pieces, the orders of the secondary sorting are multiple-product multiple-piece or single-product multiple-piece, and different order sorting lists can be generated by separating corresponding orders according to the order sorting mode. The sorting method comprises the steps of dividing according to logistics channels selected by orders to generate picking orders in a single channel, dividing according to pre-shipment time, enabling orders with the shipment time being the front to generate the same batch for picking, and enabling orders with the shipment time being the rear to generate another batch for picking.
In the steps, by acquiring a wave setting rule set based on warehouse information and order information, setting corresponding execution time and execution frequency for each order to be processed according to the wave setting rule, performing batch processing on each order to be processed, and further obtaining a corresponding wave plan according to the batch condition of each order to be processed, the wave plan is set in a targeted manner according to different batch conditions of each order to be processed, different orders to be processed are processed in a centralized manner, order processing time is shortened, and order processing efficiency is improved.
In one embodiment, before setting the corresponding wave times plan for the to-be-processed order according to the wave times setting rule, the method further includes:
performing area division on the goods picking field according to the type of the goods shelf and the height of the goods shelf to generate warehouse information; classifying the orders to be processed according to the picking mode, the logistics channel and the pre-shipment time to obtain order information of the orders to be processed in different batches; and respectively generating wave frequency setting rules of different wave frequency plans based on the warehouse information and the order information of the orders to be processed in different batches.
Specifically, the goods shelf type is divided into an original box area, a small storage position box area and a clamping plate area, so that the goods picking field is divided into areas, and the goods shelf is divided into a low-layer area and a high-layer area in height, so that the goods picking field is divided into areas.
Furthermore, the orders are divided into two types of centralized picking and secondary sorting according to the picking mode, and the orders are divided into different batches, and the orders can also be divided into a plurality of batches based on different logistics channels according to different logistics channels of the orders. According to the sequence of the pre-shipment time, the orders to be processed at the same or similar pre-shipment time can be divided into the same batch, the order to be processed at the previous pre-shipment time is one batch, and the order to be processed at the next pre-shipment time is another batch. Finally, wave setting rules of different wave plans can be respectively generated based on the warehouse information and the order information of the orders to be processed in different batches.
In some embodiments, the wave frequency plan may also be set according to warehouse information, order creation time, wave frequency, execution interval, order upper limit number, order lower limit number, commodity volume upper limit, commodity weight upper limit, start time, end time, picking sequence, order type, packing type, picking type, pre-shipment time, logistics channel, wave frequency area, and the like.
According to the steps, the goods picking place is divided into areas according to the goods shelf types and the goods shelf heights to generate warehouse information, the orders to be processed are classified according to the goods picking modes, the logistics channels and the pre-shipment time to obtain order information of the orders to be processed in different batches, wave setting rules of different wave plans are generated respectively based on the warehouse information and the order information of the orders to be processed in different batches, the corresponding different wave plans can be set according to the different wave setting rules, and the processing efficiency of the orders to be processed is improved.
It should be understood that although the various steps in the flow diagrams of fig. 2-4 are shown in order as indicated by the arrows, the steps are not necessarily performed in order as indicated by the arrows. The steps are not performed in the exact order shown and described, and may be performed in other orders, unless explicitly stated otherwise. Moreover, at least some of the steps in fig. 2-4 may include multiple sub-steps or multiple stages that are not necessarily performed at the same time, but may be performed at different times, and the order of performing the sub-steps or stages is not necessarily sequential, but may be performed alternately or alternatingly with other steps or at least some of the sub-steps or stages of other steps.
In one embodiment, as shown in fig. 5, there is provided a rapid pick-up device comprising: a wave order plan setting module 502, a picking route determining module 504, a picking order generating module 506 and an order sign-out module 508, wherein:
the wave-order plan setting module 502 is configured to set a corresponding wave-order plan for the to-be-processed order according to a wave-order setting rule, where the wave-order setting rule is generated based on the warehouse information and the order information.
The picking path determining module 504 is configured to determine a picking path according to the order information and the warehouse processing information in the wave-time plan.
The picking order generating module 506 is configured to determine the goods to be delivered according to the picking path and the order information in the order plan, and generate a picking order.
And the order sign-out module 508 is used for sending the goods picking order to the hand-held terminal, so that the hand-held terminal executes order sign-out operation on goods to be delivered according to the goods picking order.
According to the rapid picking device, the corresponding wave frequency plan is set according to the wave frequency setting rule generated based on the warehouse information and the order information, the merging and classification processing are carried out on the orders to be processed by considering the warehouse storage condition and the order information of the orders to be processed, the orders in the same batch are processed in a centralized mode, and the order processing time can be reduced. The order picking path is determined according to the order information and the warehouse processing information in the wave frequency plan, the order picking path is not limited to be set manually, and the rationality of the order picking path can be improved. The order picking-up method comprises the steps that goods to be delivered are determined according to picking-up paths and information of orders in the order plan, picking-up orders are generated, the hand-held terminal receives the picking-up orders and executes order sign-out operation on the goods to be delivered according to the picking-up orders, and therefore order delivery efficiency can be further improved on the basis that order processing time is shortened and rationality of the picking-up paths is improved.
In one embodiment, the wave number plan setting module is further configured to:
acquiring a wave frequency setting rule set based on the warehouse information and the order information; setting corresponding execution time and execution frequency for each order to be processed according to a wave setting rule, and carrying out batch processing on each order to be processed; and obtaining a corresponding wave-time plan according to the batch condition of each order to be processed.
The wave frequency plan setting module sets corresponding execution time and execution frequency for each order to be processed according to the wave frequency setting rule set based on the warehouse information and the order information, processes the orders to be processed in batches, further obtains a corresponding wave frequency plan according to the batch conditions of the orders to be processed, sets the wave frequency plan according to different batch conditions of the orders to be processed, processes the different orders to be processed in a centralized manner, reduces order processing time and improves order processing efficiency.
In one embodiment, the pick path determination module is further configured to:
determining a starting point of a picking path according to the order information; determining a processable bin position with an unoccupied commodity bin position and available paths with two unoccupied bin position connecting paths in the order to be processed according to the order information and the warehouse processing information; and searching the shortest path formed by the available paths passing through the processable storage positions by taking the starting point as a starting point and the delivery area as an end point to obtain a picking path.
The goods picking path determining module can eliminate occupied storage positions and occupied paths by simultaneously considering the occupation condition of the storage positions and the occupation condition of the paths in the warehouse, and on the basis, a shortest path formed by available paths passing through the processable storage positions is obtained, so that conflicts among orders to be processed in different wave frequency plans are avoided, and meanwhile, the goods picking efficiency can be further improved due to the adoption of the shortest path goods picking path.
In one embodiment, there is provided a rapid order picking device, further comprising a wave-number-setting rule generating module for:
performing area division on the goods picking field according to the type of the goods shelf and the height of the goods shelf to generate warehouse information; classifying the orders to be processed according to the picking mode, the logistics channel and the pre-shipment time to obtain order information of the orders to be processed in different batches; and respectively generating wave frequency setting rules of different wave frequency plans based on the warehouse information and the order information of the orders to be processed in different batches.
The wave setting rule generating module is used for carrying out area division on a goods picking place according to the type of the goods shelf and the height of the goods shelf to generate warehouse information, classifying various orders to be processed according to a goods picking mode, a logistics channel and pre-delivery time to obtain order information of different batches of orders to be processed, respectively generating wave setting rules of different wave plans based on the warehouse information and the order information of different batches of orders to be processed, and setting according to the different wave setting rules to obtain corresponding different wave plans so as to improve the processing efficiency of the orders to be processed.
In one embodiment, there is provided an apparatus for picking orders quickly, further comprising a wave-time plan triggering module for:
collecting each order to be processed submitted by a user, and acquiring order processing time and order total amount of each order to be processed; acquiring a preset requirement of a trigger wave frequency plan; and triggering a wave-order plan when the order processing time and the order total amount meet the preset requirements.
The wave-order plan triggering module collects the orders to be processed submitted by the user, acquires the order processing time and the order total amount of the orders to be processed, triggers the wave-order plan when the order processing time and the order total amount are determined to meet the preset requirements, avoids the condition that the wave-order plan is triggered when the orders to be processed cannot meet the wave-order plan processing, and reduces the misoperation rate.
For the specific definition of the rapid picking device, reference may be made to the definition of the rapid picking method above, and details are not described herein. The various modules in the rapid picking device may be implemented in whole or in part by software, hardware, and combinations thereof. The modules can be embedded in a hardware form or independent from a processor in the computer device, and can also be stored in a memory in the computer device in a software form, so that the processor can call and execute operations corresponding to the modules.
In one embodiment, a computer device is provided, which may be a server, and the internal structure thereof may be as shown in fig. 6. The computer device includes a processor, a memory, a network interface, and a database connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device comprises a nonvolatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program, and a database. The internal memory provides an environment for the operating system and the computer program to run on the non-volatile storage medium. The database of the computer device is used for storing order information data and warehouse information data. The network interface of the computer device is used for communicating with an external terminal through a network connection. The computer program is executed by a processor to implement a method of rapid picking.
It will be appreciated by those skilled in the art that the configuration shown in fig. 6 is a block diagram of only a portion of the configuration associated with the present application, and is not intended to limit the computing device to which the present application may be applied, and that a particular computing device may include more or less components than those shown, or may combine certain components, or have a different arrangement of components.
In one embodiment, there is provided a computer device comprising a memory storing a computer program and a processor implementing the following steps when the processor executes the computer program:
setting a corresponding wave frequency plan for the order to be processed according to a wave frequency setting rule, wherein the wave frequency setting rule is generated based on the warehouse information and the order information;
determining a picking path according to the order information and the warehouse processing information in the wave frequency plan;
determining goods to be delivered according to the goods picking path and the order information in the order plan, and generating a goods picking order;
and sending the picking order to the hand-held terminal, so that the hand-held terminal executes order sign-out operation on the goods to be delivered according to the picking order.
In one embodiment, the processor when executing the computer program further performs the steps of:
acquiring a wave frequency setting rule set based on the warehouse information and the order information;
setting corresponding execution time and execution frequency for each order to be processed according to a wave setting rule, and carrying out batch processing on each order to be processed;
and obtaining a corresponding wave-time plan according to the batch condition of each order to be processed.
In one embodiment, the processor, when executing the computer program, further performs the steps of:
determining a starting point of a picking path according to the order information;
determining a processable bin position with an unoccupied commodity bin position and available paths with two unoccupied bin position connecting paths in the order to be processed according to the order information and the warehouse processing information;
the shortest path composed of available paths passing through each processable storage position is searched by taking the starting point as a starting point and the delivery area as an end point to obtain a picking path.
In one embodiment, the processor, when executing the computer program, further performs the steps of:
acquiring information of each order in the wave frequency plan, and determining the picking sequence of each commodity to be delivered according to the information of each order;
and generating a corresponding order according to the order picking sequence and the order picking path.
In one embodiment, the processor when executing the computer program further performs the steps of:
performing area division on the goods picking field according to the type of the goods shelf and the height of the goods shelf to generate warehouse information;
classifying the orders to be processed according to the picking mode, the logistics channel and the pre-shipment time to obtain order information of the orders to be processed in different batches;
and respectively generating wave frequency setting rules of different wave frequency plans based on the warehouse information and the order information of the orders to be processed in different batches.
In one embodiment, the processor when executing the computer program further performs the steps of:
and sending the picking order to a hand-held machine terminal, so that the hand-held machine terminal signs the goods to be delivered out of the warehouse according to the picking order corresponding to the picking order according to the picking path corresponding to the picking order.
In one embodiment, the processor when executing the computer program further performs the steps of:
collecting all to-be-processed orders submitted by a user, and acquiring order processing time and order total amount of all to-be-processed orders;
acquiring a preset requirement of a trigger wave frequency plan;
and triggering a wave-order plan when the order processing time and the order total amount meet the preset requirements.
In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored which, when executed by a processor, performs the steps of:
setting a corresponding wave frequency plan for the order to be processed according to a wave frequency setting rule, wherein the wave frequency setting rule is generated based on warehouse information and order information;
determining a picking path according to the order information and the warehouse processing information in the wave frequency plan;
determining goods to be delivered according to the goods picking path and the order information in the order plan, and generating a goods picking order;
and sending the picking order to the hand-held terminal, so that the hand-held terminal executes order sign-out operation on the goods to be delivered according to the picking order.
In one embodiment, the computer program when executed by the processor further performs the steps of:
acquiring a wave frequency setting rule set based on the warehouse information and the order information;
setting corresponding execution time and execution frequency for each order to be processed according to a wave setting rule, and carrying out batch processing on each order to be processed;
and obtaining a corresponding wave-time plan according to the batch condition of each order to be processed.
In one embodiment, the computer program when executed by the processor further performs the steps of:
determining a starting point of a picking path according to the order information;
determining a processable bin position with an unoccupied commodity bin position and available paths with two unoccupied bin position connecting paths in the order to be processed according to the order information and the warehouse processing information;
and searching the shortest path formed by the available paths passing through the processable storage positions by taking the starting point as a starting point and the delivery area as an end point to obtain a picking path.
In one embodiment, the computer program when executed by the processor further performs the steps of:
acquiring information of each order in the wave frequency plan, and determining the picking sequence of each commodity to be delivered according to the information of each order;
and generating a corresponding order according to the order picking sequence and the order picking path.
In one embodiment, the computer program when executed by the processor further performs the steps of:
performing area division on the goods picking field according to the type of the goods shelf and the height of the goods shelf to generate warehouse information;
classifying the orders to be processed according to the picking mode, the logistics channel and the pre-shipment time to obtain order information of the orders to be processed in different batches;
and respectively generating wave frequency setting rules of different wave frequency plans based on the warehouse information and the order information of the orders to be processed in different batches.
In one embodiment, the computer program when executed by the processor further performs the steps of:
and sending the picking order to a hand-held machine terminal, so that the hand-held machine terminal signs the goods to be delivered out of the warehouse according to the picking order corresponding to the picking order according to the picking path corresponding to the picking order.
In one embodiment, the computer program when executed by the processor further performs the steps of:
collecting all to-be-processed orders submitted by a user, and acquiring order processing time and order total amount of all to-be-processed orders;
acquiring a preset requirement of a trigger wave frequency plan;
and triggering a wave-time plan when the order processing time and the order total amount meet the preset requirements.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above may be implemented by hardware that is instructed by a computer program, and the computer program may be stored in a non-volatile computer-readable storage medium, and when executed, may include the processes of the embodiments of the methods described above. Any reference to memory, storage, database, or other medium used in the embodiments provided herein may include non-volatile and/or volatile memory, among others. Non-volatile memory can include read-only memory (ROM), Programmable ROM (PROM), Electrically Programmable ROM (EPROM), Electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), Dynamic RAM (DRAM), Synchronous DRAM (SDRAM), Double Data Rate SDRAM (DDRSDRAM), Enhanced SDRAM (ESDRAM), Synchronous Link DRAM (SLDRAM), Rambus Direct RAM (RDRAM), direct bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).
All possible combinations of the technical features in the above embodiments may not be described for the sake of brevity, but should be considered as being within the scope of the present disclosure as long as there is no contradiction between the combinations of the technical features.
The above examples only express several embodiments of the present application, and the description thereof is more specific and detailed, but not construed as limiting the scope of the invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the concept of the present application, and these are all within the scope of protection of the present application. Therefore, the protection scope of the present patent application shall be subject to the appended claims.
Claims (10)
1. A method of rapid picking, the method comprising:
setting a corresponding wave frequency plan for the order to be processed according to a wave frequency setting rule, wherein the wave frequency setting rule is generated based on warehouse information and order information; the system comprises a warehouse management system, a goods picking place, order information and a goods picking mode, wherein the wave setting rule is arranged in the warehouse management system and is combined with the system pre-shelf-leaving storage space occupation condition of the warehouse management system, the warehouse information is obtained by carrying out area division on the goods picking place according to the goods shelf type and the goods shelf height, and the order information is obtained by carrying out classification generation on each order to be processed according to the goods picking mode, the logistics channel and the pre-shipment time;
determining a picking path according to the order information and warehouse processing information in the wave frequency plan; the order picking path is a shortest path formed by available paths passing through all the processable bin positions, and the available path is a connection path between any two unprocessed bin positions of commodities; acquiring the position of each commodity to be delivered from the wave-order plan from the order information, acquiring the occupation condition of the corresponding position from the warehouse information, and determining that the commodity in the order to be processed is not occupied as a processable position;
determining goods to be delivered according to the picking path and the order information in the order plan, and generating a picking order; before the wave frequency plan is executed, calculating by combining the wave frequency setting rule and the pre-shelving rule to generate a corresponding shelving picking order;
and sending the picking order to a hand-held terminal, so that the hand-held terminal executes order sign-out operation on the goods to be delivered according to the picking order.
2. The method of claim 1, wherein setting a corresponding wave order plan for the pending order according to a wave order setting rule comprises:
acquiring a wave frequency setting rule set based on the warehouse information and the order information;
setting corresponding execution time and execution frequency for each order to be processed according to the wave frequency setting rule, and carrying out batch processing on each order to be processed;
and obtaining a corresponding wave-frequency plan according to the batch condition of each order to be processed.
3. The method of claim 1, wherein determining a pick path from the order information and warehouse processing information within the wave time plan comprises:
determining a starting point of a picking path according to the order information;
determining a processable bin position with an unoccupied commodity bin position and available paths with unoccupied connection paths of any two processable bin positions in the order to be processed according to the order information and the warehouse processing information;
the shortest path composed of available paths passing through each processable storage position is searched by taking the starting point as a starting point and the delivery area as an end point to obtain a picking path.
4. The method of claim 3, wherein determining the goods to be delivered from the picking route and the order information in the order plan and generating the picking order comprises:
acquiring information of each order in the wave frequency plan, and determining the picking sequence of each commodity to be delivered according to the information of each order;
and generating a corresponding order picking sheet according to the order picking sequence and the order picking path.
5. The method of claim 1, further comprising, before the setting a corresponding wave order plan for the order to be processed according to the wave order setting rule:
performing area division on a goods picking field according to the type and height of a goods shelf to generate warehouse information;
classifying the orders to be processed according to the picking mode, the logistics channel and the pre-shipment time to obtain order information of the orders to be processed in different batches;
and respectively generating wave frequency setting rules of different wave frequency plans based on the warehouse information and the order information of the orders to be processed in different batches.
6. The method of claim 4, wherein sending the pick slip to a hand-held terminal, so that the hand-held terminal performs an order sign-out operation on the goods to be delivered according to the pick slip, comprises:
and sending the picking order to a hand-held machine terminal, so that the hand-held machine terminal signs the goods to be delivered out of the warehouse according to the picking order corresponding to the picking order according to the picking path corresponding to the picking order.
7. The method of claim 1, prior to determining the items to be delivered from the pick path and the order information in the order plan and generating the pick order, comprising:
collecting all orders to be processed submitted by a user, and acquiring order processing time and order total amount of all the orders to be processed;
acquiring a preset requirement for triggering the wave frequency plan;
and triggering the wave frequency plan when the order processing time and the order total amount meet preset requirements.
8. An apparatus for rapid picking of goods, the apparatus comprising:
the system comprises a wave frequency plan setting module, a storage module and a processing module, wherein the wave frequency plan setting module is used for setting a corresponding wave frequency plan for an order to be processed according to a wave frequency setting rule, and the wave frequency setting rule is generated based on warehouse information and order information; the system comprises a warehouse management system, a goods picking place, order information and a goods picking mode, wherein the wave setting rule is arranged in the warehouse management system and is combined with the system pre-shelf-leaving storage space occupation condition of the warehouse management system, the warehouse information is obtained by carrying out area division on the goods picking place according to the goods shelf type and the goods shelf height, and the order information is obtained by carrying out classification generation on each order to be processed according to the goods picking mode, the logistics channel and the pre-shipment time; the picking path determining module is used for determining a picking path according to the order information and the warehouse processing information in the wave frequency plan; the order picking path is a shortest path formed by available paths passing through all the processable bin positions, and the available path is a connection path between any two unprocessed bin positions of commodities; acquiring the position of each commodity to be delivered from the wave time plan from the order information, acquiring the occupation condition of the corresponding position from the warehouse information, and determining that the commodity in the order to be processed is not occupied as a processable position;
the picking order generating module is used for determining goods to be delivered from the warehouse according to the picking path and the order information in the order plan and generating a picking order; before the wave frequency plan is executed, calculating by combining the wave frequency setting rule and the pre-shelving rule to generate a corresponding shelving picking order;
and the order sign-out module is used for sending the picking order to a hand-held terminal so that the hand-held terminal executes order sign-out operation on the goods to be delivered according to the picking order.
9. A computer device comprising a memory and a processor, the memory storing a computer program, characterized in that the processor, when executing the computer program, implements the steps of the method of any of claims 1 to 7.
10. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the method of any one of claims 1 to 7.
Applications Claiming Priority (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910942968 | 2019-09-30 | ||
| CN2019109429689 | 2019-09-30 |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN110728483A CN110728483A (en) | 2020-01-24 |
| CN110728483B true CN110728483B (en) | 2022-07-22 |
Family
ID=69220657
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201911005490.3A Active CN110728483B (en) | 2019-09-30 | 2019-10-22 | Rapid goods picking method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN110728483B (en) |
Families Citing this family (31)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113256195B (en) * | 2020-02-10 | 2024-09-20 | 北京京东振世信息技术有限公司 | Goods picking implementation method and device |
| CN113361987B (en) * | 2020-03-04 | 2024-04-12 | 北京京东振世信息技术有限公司 | Information processing method, apparatus, electronic device, and readable storage medium |
| CN111476112B (en) * | 2020-03-20 | 2023-08-15 | 深圳块织类脑智能科技有限公司 | Unmanned aerial vehicle multi-hybrid task inspection tour method and platform system |
| CN113450043B (en) * | 2020-03-25 | 2024-04-09 | 北京京东振世信息技术有限公司 | Goods picking method, device, electronic equipment and medium |
| CN111523977B (en) * | 2020-04-23 | 2023-12-08 | 北京京东振世信息技术有限公司 | Method, device, computing equipment and medium for creating wave order set |
| CN111582787A (en) * | 2020-04-29 | 2020-08-25 | 上海久耶供应链管理有限公司 | Freezing warehouse scale type picking system and method thereof |
| CN111582800A (en) * | 2020-05-13 | 2020-08-25 | 上海浩创亘永科技有限公司 | Method, electronic device and computer storage medium for picking up goods |
| CN111782646B (en) * | 2020-05-19 | 2023-06-30 | 浙江数链科技有限公司 | Method, system, computer device and readable storage medium for library bit allocation |
| CN113706064A (en) * | 2020-05-21 | 2021-11-26 | 北京京东振世信息技术有限公司 | Order processing method and device |
| CN111652547A (en) * | 2020-05-26 | 2020-09-11 | 希杰物流(上海)有限公司 | Logistics centralized transportation method and system |
| CN112363407B (en) * | 2020-08-05 | 2023-04-07 | 中通云仓科技有限公司 | Conveying simulation method and conveying simulation system of logistics sorting table |
| CN112114530B (en) * | 2020-08-05 | 2023-03-24 | 中通云仓科技有限公司 | Simulation method and simulation system for commodity sorting and conveying process |
| CN112288351A (en) * | 2020-10-14 | 2021-01-29 | 广东飞流智能科技有限公司 | Returned order sorting method and device |
| CN112258041A (en) * | 2020-10-23 | 2021-01-22 | 北京云杉世界信息技术有限公司 | Goods picking configuration pushing system and method thereof |
| CN112330247B (en) * | 2020-10-30 | 2023-05-02 | 深圳越海全球供应链股份有限公司 | Order summarizing method, intelligent warehouse system, computer equipment and storage medium |
| CN112330246B (en) * | 2020-10-30 | 2024-03-26 | 深圳越海全球供应链股份有限公司 | Order summarizing method, order summarizing device, computer equipment and storage medium |
| CN112613815A (en) * | 2020-12-23 | 2021-04-06 | 云汉芯城（上海）互联网科技股份有限公司 | Method for distributing picking order, electronic device and computer readable storage medium |
| CN112712409A (en) * | 2020-12-30 | 2021-04-27 | 深圳千岸科技股份有限公司 | Quick goods picking method and device, computer equipment and storage medium |
| CN112734329A (en) * | 2020-12-30 | 2021-04-30 | 深圳千岸科技股份有限公司 | Warehouse goods picking shortest path calculation method, device, equipment and storage medium |
| CN112875112B (en) * | 2020-12-31 | 2021-08-10 | 广东工业大学 | Digital twin-based high-density stereoscopic warehouse storage position allocation and scheduling method |
| CN113065823B (en) * | 2021-03-30 | 2024-07-19 | 北京京东振世信息技术有限公司 | Storage order task processing method and device, storage medium and electronic equipment |
| CN113240365A (en) * | 2021-05-10 | 2021-08-10 | 江苏康众汽配有限公司 | Commodity warehouse-out system supporting automobile aftermarket |
| CN113240370B (en) * | 2021-05-17 | 2024-06-18 | 北京京东振世信息技术有限公司 | Method, apparatus, electronic device, and computer-readable medium for picking |
| CN113222511A (en) * | 2021-05-17 | 2021-08-06 | 上海中通吉网络技术有限公司 | Construction method of cross-border e-commerce warehousing frequency |
| CN113592241A (en) * | 2021-07-01 | 2021-11-02 | 申怡群供应链服务(深圳)有限公司 | Dispatching method and device for optimizing human resources, computer equipment and storage medium |
| CN113435818A (en) * | 2021-07-19 | 2021-09-24 | 因格(苏州)智能技术有限公司 | Dangerous waste ex-warehouse method, device and storage medium |
| CN113627785A (en) * | 2021-08-09 | 2021-11-09 | 广州新丝路信息科技有限公司 | Order picking sheet distribution method, device and equipment based on batch order picking |
| CN114506615A (en) * | 2022-03-02 | 2022-05-17 | 厦门荆艺软件股份有限公司 | Warehouse goods picking method |
| CN114819813B (en) * | 2022-04-07 | 2023-06-16 | 北京本来工坊科技有限公司 | Intelligent management system and method for order commodity picking task |
| CN114926115B (en) * | 2022-05-10 | 2024-10-29 | 上海聚水潭网络科技有限公司 | Order batch aggregation method, system and equipment based on one-article multi-warehouse |
| CN116586312B (en) * | 2023-05-12 | 2023-11-24 | 宁波安得智联科技有限公司 | Goods sorting method, device, electronic equipment and readable storage medium |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104881768A (en) * | 2015-05-25 | 2015-09-02 | 北京京东尚科信息技术有限公司 | Order-sorting out-of-warehouse task processing method and apparatus |
| CN107992977A (en) * | 2017-12-19 | 2018-05-04 | 合肥智灵机器人有限公司 | One kind storage picking handling system and method |
| CN109543872A (en) * | 2018-09-19 | 2019-03-29 | 北京科技大学 | Multirobot is without parking maneuver method and system |
| CN110119861A (en) * | 2018-02-07 | 2019-08-13 | 北京京东尚科信息技术有限公司 | Dispatch the method, apparatus and computer readable storage medium of unmanned vehicle |
| CN110223011A (en) * | 2019-05-22 | 2019-09-10 | 杭州海仓科技有限公司 | Intelligent storage equipment scheduling method, system, storage medium and electronic equipment |
| CN110274604A (en) * | 2018-11-06 | 2019-09-24 | 北京京东尚科信息技术有限公司 | Method and apparatus for generating routing information |
Family Cites Families (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2003026309A (en) * | 2001-07-13 | 2003-01-29 | Kurume Intelligence System Co Ltd | Article picking method, system, and command system |
| JP5116366B2 (en) * | 2007-05-31 | 2013-01-09 | 富士通株式会社 | Article supply shelf assignment program, article supply shelf assignment method, and article supply shelf |
| CN105469201B (en) * | 2015-07-20 | 2021-12-14 | 浙江工业大学 | Method for processing and scheduling operation tasks of logistics distribution center |
| JP6857142B2 (en) * | 2018-02-14 | 2021-04-14 | 株式会社日立物流 | Picking system and control method of picking system |
| CN109359924A (en) * | 2018-11-19 | 2019-02-19 | 炬星科技（深圳）有限公司 | Logistics subregion picking method, device, terminal, system and storage medium based on robot |
-
2019
- 2019-10-22 CN CN201911005490.3A patent/CN110728483B/en active Active
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104881768A (en) * | 2015-05-25 | 2015-09-02 | 北京京东尚科信息技术有限公司 | Order-sorting out-of-warehouse task processing method and apparatus |
| CN107992977A (en) * | 2017-12-19 | 2018-05-04 | 合肥智灵机器人有限公司 | One kind storage picking handling system and method |
| CN110119861A (en) * | 2018-02-07 | 2019-08-13 | 北京京东尚科信息技术有限公司 | Dispatch the method, apparatus and computer readable storage medium of unmanned vehicle |
| CN109543872A (en) * | 2018-09-19 | 2019-03-29 | 北京科技大学 | Multirobot is without parking maneuver method and system |
| CN110274604A (en) * | 2018-11-06 | 2019-09-24 | 北京京东尚科信息技术有限公司 | Method and apparatus for generating routing information |
| CN110223011A (en) * | 2019-05-22 | 2019-09-10 | 杭州海仓科技有限公司 | Intelligent storage equipment scheduling method, system, storage medium and electronic equipment |
Non-Patent Citations (1)
| Title |
|---|
| B2C电子商务环境下订单拣选与配送联合调度优化;王旭坪等;《中国管理科学》;20160722;第24卷(第07期);101-109 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN110728483A (en) | 2020-01-24 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN110728483B (en) | Rapid goods picking method | |
| US11397979B2 (en) | Order processing method and device, server, and storage medium | |
| US11966877B2 (en) | Order processing method, apparatus, device, system, and storage medium | |
| CN108573371B (en) | Data approval method, device, computer equipment and storage medium | |
| CN109816331B (en) | Audit task processing method, audit task processing device, computer equipment and storage medium | |
| CN110852668A (en) | Goods warehousing processing method and device, warehousing system and computer equipment | |
| WO2023245892A1 (en) | Order processing method and system based on handheld terminals, computer device, and medium | |
| CN114462952B (en) | Intelligent warehouse management method, device, equipment and medium | |
| CN111899068A (en) | Commodity shopping guide method and device, storage medium and computer equipment | |
| CN110766520A (en) | Multi-system multi-shop order fusion method and device, computer equipment and storage medium | |
| CN109784644B (en) | Case distribution method, device, computer equipment and storage medium | |
| CN113177766A (en) | Method and device for storing materials and terminal equipment | |
| CN111222919B (en) | Service data pushing method, device, computer equipment and storage medium | |
| CN111382974A (en) | Method and device for determining shelf position, warehousing system and computer equipment | |
| CN113949889B (en) | Object processing method, device, electronic equipment and storage medium | |
| CN112966992B (en) | Order production method and device | |
| CN110874365B (en) | Information query method and related equipment thereof | |
| CN110765232B (en) | Data processing method, data processing device, computer equipment and storage medium | |
| CN109377331B (en) | Data processing method and device for idle article, computer equipment and storage medium | |
| CN112182107A (en) | Method and device for acquiring list data, computer equipment and storage medium | |
| CN111768136A (en) | Inventory scheduling method and device | |
| US20240174438A1 (en) | Method and device for storing container in warehouse | |
| CN115577153A (en) | Logistics inquiry optimization method, system, terminal equipment and storage medium | |
| CN113627837B (en) | Goods collection positioning method and device | |
| CN112101852A (en) | Method, device, equipment and medium for recommending material sending batches of nuclear power station materials |
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 | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |