CN110807616A - Goods picking method and equipment - Google Patents
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Abstract
The invention aims to provide a picking method and a device, which are characterized in that a picking order is split into different sub-orders according to different picking area positions; the sub-single groups with the same picking area position are combined into one or more picking wave-order tasks, the order with the most concentrated article distribution can be combined into one picking wave-order task according to the article concentration principle, so that the generation of the picking wave-order task and the distribution of the picking wave-order task of picking the most articles at one position by picking personnel are all automatically completed by a system, and the problem of cost increase of the picking personnel due to the increase of the storage goods quantity can be solved; the invention can solve the problem that goods picking personnel can find the goods in the shortest path, greatly shortens the time for finding the goods, can be suitable for different storage operation modes, solves the problem of how to quickly and efficiently finish the distribution of goods picking tasks in different modes, and greatly improves the efficiency of the production operation of the warehouse.
Description
Technical Field
The invention relates to the field of computers, in particular to a goods picking method and equipment.
Background
The seed sorting is a sorting operation performed in units of one lot in which a plurality of orders are collected, and the lot of the operation is generally referred to as "waviness" in the industry. To achieve higher work efficiency, seeded sorting generally expects more orders to be aggregated per pass.
The prior sale mode is mainly characterized in that large clients are in auction, the object sale is concentrated, the warehouse is divided by adopting the original manual seeding mode, all objects in the warehouse are moved to the concentrated goods dividing place for sorting every day, and the sale tends to be retail more, so that the mode is not suitable for use.
In the original mode, each warehouse needs a specially-assigned person to perform the generation of the times and the distribution of the personnel work, and cannot adapt to the quick response of the generation starting from the order in the retail sales mode: at least 5-8 people are needed for one warehouse per day, the efficiency is extremely low, the work rhythm balance cannot be guaranteed, and the distribution workload is easy to be unbalanced or overtime.
Disclosure of Invention
The invention aims to provide a picking method and equipment.
According to one aspect of the invention, there is provided a method of picking a product, the method comprising:
splitting the order into different sub-orders according to different positions of the order picking areas;
combining the sub-single groups with the same picking area position into one or more picking order subtasks;
and distributing each order picking sub-task to an order picking person or an order picking robot for execution.
Further, in the above method, assigning each order picking order subtask to the order picking person or the order picking robot for execution includes:
and according to the number of the order picking sub-tasks to be executed by the order picking personnel or the order picking robot, the order picking sub-tasks are distributed to the order picking personnel or the order picking robot in a balanced manner for execution.
Furthermore, in the method, the sub-single groups with the same picking area position are combined into one or more picking order subtasks,
each order picking wave secondary task comprises order picking paths formed by arranging the positions of the goods of all sub-orders in the same order picking area position, and the order picking paths are in a shape of Chinese character 'ji' along the same direction.
Furthermore, in the method, the sub-single groups with the same picking area position are combined into one or more picking order subtasks,
each picking order subtask comprises a task generation time;
assigning each order picking order subtask to the order picking personnel or the order picking robot to execute, comprising:
and distributing each order picking order task to order picking personnel or order picking robots to execute in sequence according to the ascending sequence of the task generation time.
According to another aspect of the present invention, there is also provided a picking device, wherein the device comprises:
the splitting device is used for splitting the order form into different sub-orders according to different positions of the order picking area;
the combination device is used for combining the sub-units with the same picking area position into one or more picking order subtasks;
and the distribution device distributes each picking order subtask to the picking personnel or the picking robot to execute.
Further, in the above device, the allocation device is configured to allocate each picking order task to the picking person or the picking robot in a balanced manner for execution according to the number of the picking order tasks to be executed by the picking person or the picking robot.
Further, in the above device, the combination device is configured to set each picking order task to include a picking path formed by sequentially arranging positions of the goods of the respective sub-orders in the same picking area position, where the picking path is a hex-shaped path in the same direction.
Further, in the above apparatus, the combining means is configured to set each of the pick order subtasks to include a task generation time;
the distribution device is used for distributing each picking order sub-task to the picking personnel or the picking robot to execute in sequence according to the ascending sequence of the task generation time.
According to another aspect of the present invention, there is also provided a computing-based device, including:
a processor; and
a memory arranged to store computer executable instructions that, when executed, cause the processor to:
splitting the order into different sub-orders according to different positions of the order picking areas;
combining the sub-single groups with the same picking area position into one or more picking order subtasks;
and distributing each order picking sub-task to an order picking person or an order picking robot for execution.
According to another aspect of the present invention, there is also provided a computer-readable storage medium having stored thereon computer-executable instructions, wherein the computer-executable instructions, when executed by a processor, cause the processor to:
splitting the order into different sub-orders according to different positions of the order picking areas;
combining the sub-single groups with the same picking area position into one or more picking order subtasks;
and distributing each order picking sub-task to an order picking person or an order picking robot for execution.
Compared with the prior art, the order picking method has the advantages that the order picking orders are split into different sub-orders according to different positions of the order picking areas; the sub-single groups with the same picking area position are combined into one or more picking wave-time tasks, and the order with the most concentrated article distribution can be combined into one picking wave-time task according to the article concentration principle, so that the purpose that the picking personnel picks the most articles at one position is achieved; the order picking sub-tasks are distributed to order picking personnel or order picking robots to be executed, the generation of the order picking sub-tasks and the distribution of the order picking sub-tasks are all automatically completed by a system, and managers only need to set corresponding rules and templates, so that the manual intervention and the resource occupation are eliminated, and the problem of cost increase due to the fact that the order picking personnel multiply due to the increase of the storage quantity of the orders can be solved; the invention can solve the problem that goods picking personnel can find the goods in the shortest path, greatly shortens the time for finding the goods, can be suitable for different storage operation modes, solves the problem of how to quickly and efficiently finish the distribution of goods picking tasks in different modes, and greatly improves the efficiency of the production operation of the warehouse.
Drawings
Other features, objects and advantages of the invention will become more apparent upon reading of the detailed description of non-limiting embodiments made with reference to the following drawings:
FIG. 1 is a schematic diagram of a method of picking a product according to an embodiment of the invention;
FIG. 2 shows a schematic view of a warehouse rack in accordance with an embodiment of the present invention;
FIG. 3 illustrates a schematic view of a pick path in accordance with an embodiment of the present invention;
figure 4 illustrates a first-in-first order pick order subtasks according to one embodiment of the present invention.
The same or similar reference numbers in the drawings identify the same or similar elements.
Detailed Description
The present invention is described in further detail below with reference to the attached drawing figures.
In a typical configuration of the present application, the terminal, the device serving the network, and the trusted party each include one or more processors (CPUs), input/output interfaces, network interfaces, and memory.
The memory may include forms of volatile memory in a computer readable medium, Random Access Memory (RAM) and/or non-volatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM). Memory is an example of a computer-readable medium.
Computer-readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), Static Random Access Memory (SRAM), Dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), Read Only Memory (ROM), Electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), Digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape, magnetic disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information that can be accessed by a computing device. As defined herein, computer readable media does not include non-transitory computer readable media (transient media), such as modulated data signals and carrier waves.
As shown in fig. 1, the present invention provides a picking method, comprising:
step S1, splitting the order into different sub-orders according to different picking area positions;
here, the picking area position may be an area such as a warehouse, such as a warehouse area;
step S2, combining the sub-groups with the same picking area position into one or more picking order tasks;
here, if the number of sub-units with the same picking area position is less, the sub-units with the same picking area position can be combined into a picking order task; if the number of the sub-orders in the same picking area position is more, the sub-orders in the same picking area position can be combined into a plurality of picking order sub-tasks, wherein one sub-order only exists in one picking order sub-task, so that repeated picking is avoided;
in step S3, each picking order subtask is assigned to the picking person or the picking robot for execution.
The order picking order is split into different sub-orders according to different positions of the order picking areas; the sub-single groups with the same picking area position are combined into one or more picking wave-time tasks, and the order with the most concentrated article distribution can be combined into one picking wave-time task according to the article concentration principle, so that the purpose that the picking personnel picks the most articles at one position is achieved; the order picking sub-tasks are distributed to order picking personnel or order picking robots to be executed, the generation of the order picking sub-tasks and the distribution of the order picking sub-tasks are all automatically completed by a system, and managers only need to set corresponding rules and templates, so that the manual intervention and the resource occupation are eliminated, and the problem of cost increase due to the fact that the order picking personnel multiply due to the increase of the storage quantity of the orders can be solved; the invention can solve the problem that goods picking personnel can find the goods in the shortest path, greatly shortens the time for finding the goods, can be suitable for different storage operation modes, solves the problem of how to quickly and efficiently finish the distribution of goods picking tasks in different modes, and greatly improves the efficiency of the production operation of the warehouse.
In addition, rules can be set separately according to different areas and goods picking area positions, the set dimensions can be detailed to different delivery types, and splitting and combining can be carried out according to the types of delivery articles. Meanwhile, the frequency and the working time period of the corresponding order-picking wave task can be set according to the requirement of the warehouse working frequency.
In an embodiment of the picking method of the present invention, step S3, assigning each picking order task to a picking person or a picking robot for execution, includes:
and according to the number of the order picking sub-tasks to be executed by the order picking personnel or the order picking robot, the order picking sub-tasks are distributed to the order picking personnel or the order picking robot in a balanced manner for execution.
Here, different picking order tasks, which require different picking personnel or picking robots to perform picking, may be automatically assigned to the picking personnel or picking robots. Wherein, can the automatic synchronization pick up personnel's scheduling table, once only formulate the automatic allocation rule: after the system is set, the system can be preferentially distributed to the personnel on duty with few tasks according to the personnel information and the number of the tasks to be executed by the corresponding personnel, so that the link of manual arrangement can be completely omitted, and the unmanned and automatic precision distribution process of the whole picking order task is realized.
As shown in fig. 2 and 3, in an embodiment of the picking method of the present invention, step S2, the sub-singles with the same picking area position are combined into one or more picking order subtasks,
each order picking wave secondary task comprises order picking paths formed by arranging the positions of the goods of all sub-orders in the same order picking area position, and the order picking paths are in a shape of Chinese character 'ji' along the same direction.
Here, as shown in fig. 2, taking a warehouse as an example, the warehouse is provided with a rack as shown in fig. 3:
the warehouse shelf has 4 groups of A, B, C, D shelves, wherein each shelf is respectively provided with 4 areas of a, b, c and d, the goods are put in the warehouse according to the shelf-loading rule, when the goods need to be picked out of the warehouse, the picking personnel or the picking robot can pick the goods according to the picking paths which are sequentially arranged according to the Chinese character 'ji' shaped path in the same direction as that in figure 3:
the starting point → a (a → B → C → D) → B (a → B → C → D) → C (a → B → C → D) → D (a → B → C → D) → the ending point.
The picking personnel or the picking robot move to pick fruits according to the picking path generated by the system and the snake-shaped line, namely the Chinese character 'ji' shaped path in the same direction.
In the process of moving, picking personnel or picking robots pick the goods one by one according to the goods needing to be placed on shelves corresponding to the goods shelves until the picking work of all the goods corresponding to the goods picking order task is completed, the picking personnel move in a snake shape, the route is fixed, the direction is consistent, and the goods can not be placed when the picking personnel operate by multiple people; the goods shelves are arranged in order according to letters, so that personnel can conveniently memorize and find positions, and the positioning speed is high; areas (such as a, b, c and d in fig. 2) are defined in the goods shelf to further divide the goods shelf into smaller units, so that the personnel can conveniently narrow the searching range of the goods and shorten the time for searching the goods; the goods picking personnel or the goods picking robot move to work, so that the moving in and out of the goods in the original mode are effectively reduced, and the possible damage and loss of the goods caused by frequent operation are effectively reduced.
In one embodiment of the picking method of the present invention, in step S2, the sub-groups with the same picking area position are combined into one or more picking order subtasks,
each picking order subtask comprises a task generation time;
step S3, assigning each picking order task to the picking personnel or picking robot for execution, including:
and distributing each order picking order task to order picking personnel or order picking robots to execute in sequence according to the ascending sequence of the task generation time.
The order picking task can be automatically distributed to the staff according to the scheduling list of the order picking staff, the workload of each staff and the generation time of the order picking task and other factors.
Here, in order to speed up the service flow, the order requires first-in first-out, the order needs to be made to correspond to first-in first-out of generated order, the first-generated order picking order task is executed first, and the crossover execution is not allowed.
Specifically, as shown in fig. 4, there are 3 different picking order subtasks to be executed, and if the original mode is adopted, the 3 picking orders can be randomly selected and executed by the picking personnel. However, following business development, it is necessary to control the first-in-first-out of orders, the order picking sub-tasks of the same type, the previous task 8865 is not completed, and the next order picking sub-task 0002 cannot begin.
As shown in fig. 1, the present invention provides a picking device, the device comprising:
the splitting device is used for splitting the order form into different sub-orders according to different positions of the order picking area;
here, the picking area position may be an area such as a warehouse, such as a warehouse area;
the combination device is used for combining the sub-units with the same picking area position into one or more picking order subtasks;
here, if the number of sub-units with the same picking area position is less, the sub-units with the same picking area position can be combined into a picking order task; if the number of the sub-orders in the same picking area position is more, the sub-orders in the same picking area position can be combined into a plurality of picking order sub-tasks, wherein one sub-order only exists in one picking order sub-task, so that repeated picking is avoided;
and the distribution device distributes each picking order subtask to the picking personnel or the picking robot to execute.
The order picking order is split into different sub-orders according to different positions of the order picking areas; the sub-single groups with the same picking area position are combined into one or more picking wave-time tasks, and the order with the most concentrated article distribution can be combined into one picking wave-time task according to the article concentration principle, so that the purpose that the picking personnel picks the most articles at one position is achieved; the order picking sub-tasks are distributed to order picking personnel or order picking robots to be executed, the generation of the order picking sub-tasks and the distribution of the order picking sub-tasks are all automatically completed by a system, and managers only need to set corresponding rules and templates, so that the manual intervention and the resource occupation are eliminated, and the problem of cost increase due to the fact that the order picking personnel multiply due to the increase of the storage quantity of the orders can be solved; the invention can solve the problem that goods picking personnel can find the goods in the shortest path, greatly shortens the time for finding the goods, can be suitable for different storage operation modes, solves the problem of how to quickly and efficiently finish the distribution of goods picking tasks in different modes, and greatly improves the efficiency of the production operation of the warehouse.
In addition, rules can be set separately according to different areas and goods picking area positions, the set dimensions can be detailed to different delivery types, and splitting and combining can be carried out according to the types of delivery articles. Meanwhile, the frequency and the working time period of the corresponding order-picking wave task can be set according to the requirement of the warehouse working frequency.
In an embodiment of the picking device of the present invention, the allocating device is configured to allocate each picking order task to the picking person or the picking robot in a balanced manner for execution according to the number of picking order tasks to be executed by the picking person or the picking robot.
Here, different picking order tasks, which require different picking personnel or picking robots to perform picking, may be automatically assigned to the picking personnel or picking robots. Wherein, can the automatic synchronization pick up personnel's scheduling table, once only formulate the automatic allocation rule: after the system is set, the system can be preferentially distributed to the personnel on duty with few tasks according to the personnel information and the number of the tasks to be executed by the corresponding personnel, so that the link of manual arrangement can be completely omitted, and the unmanned and automatic precision distribution process of the whole picking order task is realized.
In an embodiment of the picking device according to the present invention, as shown in fig. 2 and 3, the combining means is configured to set each picking order subtask to include a picking path composed of sequentially arranged positions of the goods of the sub-orders in the same picking area position, and the picking path is a hex-shaped path along the same direction.
Here, as shown in fig. 2, taking a warehouse as an example, the warehouse is provided with a rack as shown in fig. 3:
the warehouse shelf has 4 groups of A, B, C, D shelves, wherein each shelf is respectively provided with 4 areas of a, b, c and d, the goods are put in the warehouse according to the shelf-loading rule, when the goods need to be picked out of the warehouse, the picking personnel or the picking robot can pick the goods according to the picking paths which are sequentially arranged according to the Chinese character 'ji' shaped path in the same direction as that in figure 3:
the starting point → a (a → B → C → D) → B (a → B → C → D) → C (a → B → C → D) → D (a → B → C → D) → the ending point.
The picking personnel or the picking robot move to pick fruits according to the picking path generated by the system and the snake-shaped line, namely the Chinese character 'ji' shaped path in the same direction.
In the process of moving, picking personnel or picking robots pick the goods one by one according to the goods needing to be placed on shelves corresponding to the goods shelves until the picking work of all the goods corresponding to the goods picking order task is completed, the picking personnel move in a snake shape, the route is fixed, the direction is consistent, and the goods can not be placed when the picking personnel operate by multiple people; the goods shelves are arranged in order according to letters, so that personnel can conveniently memorize and find positions, and the positioning speed is high; areas (such as a, b, c and d in fig. 2) are defined in the goods shelf to further divide the goods shelf into smaller units, so that the personnel can conveniently narrow the searching range of the goods and shorten the time for searching the goods; the goods picking personnel or the goods picking robot move to work, so that the moving in and out of the goods in the original mode are effectively reduced, and the possible damage and loss of the goods caused by frequent operation are effectively reduced.
In an embodiment of the picking device, the combination device is used for setting each picking order subtask to include a task generation time;
the distribution device is used for distributing each picking order sub-task to the picking personnel or the picking robot to execute in sequence according to the ascending sequence of the task generation time.
The order picking task can be automatically distributed to the staff according to the scheduling list of the order picking staff, the workload of each staff and the generation time of the order picking task and other factors.
Here, in order to speed up the service flow, the order requires first-in first-out, the order needs to be made to correspond to first-in first-out of generated order, the first-generated order picking order task is executed first, and the crossover execution is not allowed.
Specifically, as shown in fig. 4, there are 3 different picking order subtasks to be executed, and if the original mode is adopted, the 3 picking orders can be randomly selected and executed by the picking personnel. However, following business development, it is necessary to control the first-in-first-out of orders, the order picking sub-tasks of the same type, the previous task 8865 is not completed, and the next order picking sub-task 0002 cannot begin.
According to another aspect of the present invention, there is also provided a computing-based device, including:
a processor; and
a memory arranged to store computer executable instructions that, when executed, cause the processor to:
splitting the order into different sub-orders according to different positions of the order picking areas;
combining the sub-single groups with the same picking area position into one or more picking order subtasks;
and distributing each order picking sub-task to an order picking person or an order picking robot for execution.
According to another aspect of the present invention, there is also provided a computer-readable storage medium having stored thereon computer-executable instructions, wherein the computer-executable instructions, when executed by a processor, cause the processor to:
splitting the order into different sub-orders according to different positions of the order picking areas;
combining the sub-single groups with the same picking area position into one or more picking order subtasks;
and distributing each order picking sub-task to an order picking person or an order picking robot for execution.
For details of embodiments of each device and storage medium of the present invention, reference may be made to corresponding parts of each method embodiment, and details are not described herein again.
It will be apparent to those skilled in the art that various changes and modifications may be made in the present application without departing from the spirit and scope of the application. Thus, if such modifications and variations of the present application fall within the scope of the claims of the present application and their equivalents, the present application is intended to include such modifications and variations as well.
It should be noted that the present invention may be implemented in software and/or in a combination of software and hardware, for example, as an Application Specific Integrated Circuit (ASIC), a general purpose computer or any other similar hardware device. In one embodiment, the software program of the present invention may be executed by a processor to implement the steps or functions described above. Also, the software programs (including associated data structures) of the present invention can be stored in a computer readable recording medium, such as RAM memory, magnetic or optical drive or diskette and the like. Further, some of the steps or functions of the present invention may be implemented in hardware, for example, as circuitry that cooperates with the processor to perform various steps or functions.
In addition, some of the present invention can be applied as a computer program product, such as computer program instructions, which when executed by a computer, can invoke or provide the method and/or technical solution according to the present invention through the operation of the computer. Program instructions which invoke the methods of the present invention may be stored on a fixed or removable recording medium and/or transmitted via a data stream on a broadcast or other signal-bearing medium and/or stored within a working memory of a computer device operating in accordance with the program instructions. An embodiment according to the invention herein comprises an apparatus comprising a memory for storing computer program instructions and a processor for executing the program instructions, wherein the computer program instructions, when executed by the processor, trigger the apparatus to perform a method and/or solution according to embodiments of the invention as described above.
It will be evident to those skilled in the art that the invention is not limited to the details of the foregoing illustrative embodiments, and that the present invention may be embodied in other specific forms without departing from the spirit or essential attributes thereof. The present embodiments are therefore to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference sign in a claim should not be construed as limiting the claim concerned. Furthermore, it is obvious that the word "comprising" does not exclude other elements or steps, and the singular does not exclude the plural. A plurality of units or means recited in the apparatus claims may also be implemented by one unit or means in software or hardware. The terms first, second, etc. are used to denote names, but not any particular order.
Claims (10)
1. A method of picking a product, wherein the method comprises:
splitting the order into different sub-orders according to different positions of the order picking areas;
combining the sub-single groups with the same picking area position into one or more picking order subtasks;
and distributing each order picking sub-task to an order picking person or an order picking robot for execution.
2. The method of claim 1, wherein assigning each order picking subtask to a picker or a picking robot for execution comprises:
and according to the number of the order picking sub-tasks to be executed by the order picking personnel or the order picking robot, the order picking sub-tasks are distributed to the order picking personnel or the order picking robot in a balanced manner for execution.
3. The method of claim 1, wherein sub-singles having pick area locations that are the same are grouped into one or more pick order subtasks,
each order picking wave secondary task comprises order picking paths formed by arranging the positions of the goods of all sub-orders in the same order picking area position, and the order picking paths are in a shape of Chinese character 'ji' along the same direction.
4. The method of claim 1, wherein sub-singles having pick area locations that are the same are grouped into one or more pick order subtasks,
each picking order subtask comprises a task generation time;
assigning each order picking order subtask to the order picking personnel or the order picking robot to execute, comprising:
and distributing each order picking order task to order picking personnel or order picking robots to execute in sequence according to the ascending sequence of the task generation time.
5. A picking device, wherein the device comprises:
the splitting device is used for splitting the order form into different sub-orders according to different positions of the order picking area;
the combination device is used for combining the sub-units with the same picking area position into one or more picking order subtasks;
and the distribution device distributes each picking order subtask to the picking personnel or the picking robot to execute.
6. The apparatus according to claim 5, wherein the assigning means is adapted to assign the picking order tasks to the picking persons or picking robots in a balanced manner for execution, depending on how many picking order tasks the picking persons or picking robots are to perform.
7. The apparatus according to claim 5, wherein the combining means is configured to set each picking order subtask to include a picking path composed of sequential arrangement of positions of the items of the respective sub-sheets in the same picking area position, the picking path being a hex-shaped path in the same direction.
8. The apparatus of claim 5, wherein the combining means is for setting each pick order subtask to include a task generation time;
the distribution device is used for distributing each picking order sub-task to the picking personnel or the picking robot to execute in sequence according to the ascending sequence of the task generation time.
9. A computing-based device, comprising:
a processor; and
a memory arranged to store computer executable instructions that, when executed, cause the processor to:
splitting the order into different sub-orders according to different positions of the order picking areas;
combining the sub-single groups with the same picking area position into one or more picking order subtasks;
and distributing each order picking sub-task to an order picking person or an order picking robot for execution.
10. A computer-readable storage medium having computer-executable instructions stored thereon, wherein the computer-executable instructions, when executed by a processor, cause the processor to:
splitting the order into different sub-orders according to different positions of the order picking areas;
combining the sub-single groups with the same picking area position into one or more picking order subtasks;
and distributing each order picking sub-task to an order picking person or an order picking robot for execution.
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| CN201911039803.7A CN110807616A (en) | 2019-10-29 | 2019-10-29 | Goods picking method and equipment |
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Cited By (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111738654A (en) * | 2020-06-17 | 2020-10-02 | 北京京东振世信息技术有限公司 | Method, device, equipment and storage medium for generating picking task in internal distribution warehouse-out |
| CN112295928A (en) * | 2020-08-31 | 2021-02-02 | 北京京东振世信息技术有限公司 | Goods picking method, system, device, electronic equipment and readable 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 |
| CN112633756A (en) * | 2020-12-30 | 2021-04-09 | 深圳市人工智能与机器人研究院 | Warehouse logistics scheduling method and related equipment |
| 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 |
| CN113240370A (en) * | 2021-05-17 | 2021-08-10 | 北京京东振世信息技术有限公司 | Order picking method, device, electronic equipment and computer readable medium |
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| CN116611769A (en) * | 2023-07-19 | 2023-08-18 | 杭州吉客云网络技术有限公司 | Order aggregation method, order aggregation device, computer equipment and storage medium |
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| 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 |
| CN113450043A (en) * | 2020-03-25 | 2021-09-28 | 北京京东振世信息技术有限公司 | Order picking method, device, electronic equipment and medium |
| 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 |
| CN111738654A (en) * | 2020-06-17 | 2020-10-02 | 北京京东振世信息技术有限公司 | Method, device, equipment and storage medium for generating picking task in internal distribution warehouse-out |
| CN111738654B (en) * | 2020-06-17 | 2024-06-18 | 北京京东振世信息技术有限公司 | Method, device, equipment and storage medium for generating picking task in-house delivery warehouse |
| CN112295928A (en) * | 2020-08-31 | 2021-02-02 | 北京京东振世信息技术有限公司 | Goods picking method, system, device, electronic equipment and readable storage medium |
| CN112295928B (en) * | 2020-08-31 | 2022-07-05 | 北京京东振世信息技术有限公司 | Goods picking method, system, device, electronic equipment and readable storage medium |
| CN113762853B (en) * | 2020-11-17 | 2024-05-24 | 北京京东振世信息技术有限公司 | Method, device and system for distributing articles, electronic equipment and storage medium |
| CN113762853A (en) * | 2020-11-17 | 2021-12-07 | 北京京东振世信息技术有限公司 | Method, device and system for distributing articles, electronic 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 |
| CN112633756A (en) * | 2020-12-30 | 2021-04-09 | 深圳市人工智能与机器人研究院 | Warehouse logistics scheduling method and related equipment |
| 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 |
| CN113240370A (en) * | 2021-05-17 | 2021-08-10 | 北京京东振世信息技术有限公司 | Order picking method, device, electronic equipment and computer readable medium |
| CN113393193A (en) * | 2021-06-15 | 2021-09-14 | 北京京东振世信息技术有限公司 | Warehouse-out method and device |
| CN113393193B (en) * | 2021-06-15 | 2024-05-24 | 北京京东振世信息技术有限公司 | Warehouse-out method and device |
| CN116468362A (en) * | 2022-12-26 | 2023-07-21 | 上海通天晓信息技术有限公司 | Warehouse order processing method and system |
| CN116611769A (en) * | 2023-07-19 | 2023-08-18 | 杭州吉客云网络技术有限公司 | Order aggregation method, order aggregation device, computer equipment and storage medium |
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