CN113393193A - Warehouse-out method and device - Google Patents

Warehouse-out method and device Download PDF

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Publication number
CN113393193A
CN113393193A CN202110670854.0A CN202110670854A CN113393193A CN 113393193 A CN113393193 A CN 113393193A CN 202110670854 A CN202110670854 A CN 202110670854A CN 113393193 A CN113393193 A CN 113393193A
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China
Prior art keywords
picking
delivery
warehouse
order
task
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CN202110670854.0A
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Chinese (zh)
Inventor
石永全
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Beijing Jingdong Zhenshi Information Technology Co Ltd
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Beijing Jingdong Zhenshi Information Technology Co Ltd
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Priority to CN202110670854.0A priority Critical patent/CN113393193A/en
Publication of CN113393193A publication Critical patent/CN113393193A/en
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION 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
    • G06Q10/00Administration; Management
    • G06Q10/08Logistics, e.g. warehousing, loading or distribution; Inventory or stock management
    • G06Q10/087Inventory or stock management, e.g. order filling, procurement or balancing against orders
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION 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
    • G06Q10/00Administration; Management
    • G06Q10/06Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063Operations research, analysis or management
    • G06Q10/0631Resource planning, allocation, distributing or scheduling for enterprises or organisations
    • G06Q10/06311Scheduling, planning or task assignment for a person or group
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION 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
    • G06Q10/00Administration; Management
    • G06Q10/08Logistics, e.g. warehousing, loading or distribution; Inventory or stock management
    • G06Q10/083Shipping

Abstract

The application discloses a warehouse-out method and device. One embodiment of the method comprises: combining the obtained orders into at least one order set according to a preset combination rule; splitting each order set in at least one order set according to a picking mode to obtain a plurality of picking tasks; and carrying out warehouse-out operation according to the plurality of picking tasks. The application provides a warehouse-out method based on automatic order collection and splitting picking tasks, which avoids the dependence on the distribution experience of task distributors and improves the warehouse-out efficiency of articles.

Description

Warehouse-out method and device
Technical Field
The embodiment of the application relates to the technical field of computers, in particular to a warehouse-out method and device.
Background
In a traditional warehousing ex-warehouse operation mode, when an order is issued to a WMS (warehouse management System), the WMS performs commodity positioning according to commodity details in the order, and after the positioning is successful, a special task distributor performs sorting task distribution. Task allocation requires an experienced task allocator to perform the operation, and the fluency of subsequent operations in the library is affected by the collection order, the task order and the picking mode determined by the task allocator.
Disclosure of Invention
The embodiment of the application provides a warehouse-out method and device.
In a first aspect, an embodiment of the present application provides a method for ex-warehouse, including: combining the obtained orders into at least one order set according to a preset combination rule; splitting each order set in at least one order set according to a picking mode to obtain a plurality of picking tasks; and carrying out warehouse-out operation according to the plurality of picking tasks.
In some embodiments, the performing the ex-warehouse operation according to the plurality of picking tasks includes: executing the picking task in a target picking mode for each picking task in the plurality of picking tasks, wherein the target picking mode represents the picking mode according to which the picking task is obtained by splitting; and according to the preset dimensionality, distributing the articles obtained by executing each picking task, and carrying out warehouse-out operation on the distributed articles.
In some embodiments, the sorting the items obtained by executing each picking task according to the preset dimension, and the delivering the sorted items from the warehouse includes: according to the dimension of the vehicle dispatching list, items obtained by executing each picking task are distributed to obtain an item set corresponding to each vehicle dispatching list, wherein the dimension of the vehicle dispatching list is used for representing that orders in the same vehicle dispatching list are dispatched through one transport vehicle; and merging, rechecking and putting the articles in the article set corresponding to each delivery order into a delivery area for delivery operation.
In some embodiments, the above method further comprises: and in response to determining that the delivery order of the collected items exists in the plurality of delivery orders, performing delivery operation on the delivery order of the collected items.
In some embodiments, the picking mode comprises at least one of: a picking mode based on information interaction between paper receipts and picking personnel; the picking mode based on information interaction between the handheld device and a picking person; the picking mode of picking is carried out by the picking robot.
In a second aspect, an embodiment of the present application provides an ex-warehouse device, including: a combining unit configured to combine the acquired plurality of orders into at least one order set according to a preset combining rule; the splitting unit is configured to split each order set in at least one order set according to a picking mode to obtain a plurality of picking tasks; and the delivery unit is configured to carry out delivery operation according to a plurality of picking tasks.
In some embodiments, the ex-warehouse unit is further configured to: executing the picking task in a target picking mode for each picking task in the plurality of picking tasks, wherein the target picking mode represents the picking mode according to which the picking task is obtained by splitting; and according to the preset dimensionality, distributing the articles obtained by executing each picking task, and carrying out warehouse-out operation on the distributed articles.
In some embodiments, the ex-warehouse unit is further configured to: according to the dimension of the vehicle dispatching list, items obtained by executing each picking task are distributed to obtain an item set corresponding to each vehicle dispatching list, wherein the dimension of the vehicle dispatching list is used for representing that orders in the same vehicle dispatching list are dispatched through one transport vehicle; and merging, rechecking and putting the articles in the article set corresponding to each delivery order into a delivery area for delivery operation.
In some embodiments, the above apparatus further comprises: a shipping unit configured to perform a shipping operation on the delivery order for the collected items in response to determining that the delivery order for the collected items exists among the plurality of delivery orders.
In some embodiments, the picking mode comprises at least one of: a picking mode based on information interaction between paper receipts and picking personnel; the picking mode based on information interaction between the handheld device and a picking person; the picking mode of picking is carried out by the picking robot.
In a third aspect, the present application provides a computer-readable medium, on which a computer program is stored, where the program, when executed by a processor, implements the method as described in any implementation manner of the first aspect.
In a fourth aspect, an embodiment of the present application provides an electronic device, including: one or more processors; a storage device having one or more programs stored thereon, which when executed by one or more processors, cause the one or more processors to implement a method as described in any implementation of the first aspect.
According to the ex-warehouse method and the ex-warehouse device, the obtained orders are combined into at least one order set according to the preset combination rule; splitting each order set in at least one order set according to a picking mode to obtain a plurality of picking tasks; according to the multiple picking tasks, the ex-warehouse operation is carried out, so that the ex-warehouse method based on automatic order collection and splitting picking tasks is provided, the dependence on the distribution experience of task distributors is avoided, and the ex-warehouse efficiency of articles is improved.
Drawings
Other features, objects and advantages of the present application will become more apparent upon reading of the following detailed description of non-limiting embodiments thereof, made with reference to the accompanying drawings in which:
FIG. 1 is an exemplary system architecture diagram in which one embodiment of the present application may be applied;
FIG. 2 is a flow diagram according to one embodiment of a method of ex-warehouse of the present application;
fig. 3 is a schematic diagram of an application scenario of the ex-warehouse method according to the present embodiment;
FIG. 4 is a flow diagram of yet another embodiment of a method of ex-warehouse according to the present application;
FIG. 5 is a block diagram of one embodiment of a destacking apparatus according to the present application;
FIG. 6 is a block diagram of a computer system suitable for use in implementing embodiments of the present application.
Detailed Description
The present application will be described in further detail with reference to the following drawings and examples. It is to be understood that the specific embodiments described herein are merely illustrative of the relevant invention and not restrictive of the invention. It should be noted that, for convenience of description, only the portions related to the related invention are shown in the drawings.
It should be noted that the embodiments and features of the embodiments in the present application may be combined with each other without conflict. The present application will be described in detail below with reference to the embodiments with reference to the attached drawings.
Fig. 1 illustrates an exemplary architecture 100 to which the ex-warehouse method and apparatus of the present application may be applied.
As shown in fig. 1, the system architecture 100 may include terminal devices 101, 102, 103, a network 104, and a server 105. The communication connections between the terminal devices 101, 102, 103 form a topological network, and the network 104 serves to provide a medium for communication links between the terminal devices 101, 102, 103 and the server 105. Network 104 may include various connection types, such as wired, wireless communication links, or fiber optic cables, to name a few.
The terminal devices 101, 102, 103 may be hardware devices or software that support network connections for data interaction and data processing. When the terminal devices 101, 102, 103 are hardware, they may be various electronic devices supporting network connection, information acquisition, interaction, display, processing, and the like, including but not limited to smart phones, tablet computers, e-book readers, laptop portable computers, desktop computers, and the like. When the terminal apparatuses 101, 102, 103 are software, they can be installed in the electronic apparatuses listed above. It may be implemented, for example, as multiple software or software modules to provide distributed services, or as a single software or software module. And is not particularly limited herein.
The server 105 may be a server providing various services, such as a background processing server that acquires orders completed by users through the terminal devices 101, 102, and 103, automatically combines the acquired orders into an order set, and automatically separates the picking task from the order set, thereby performing an ex-warehouse operation. As an example, the server 105 may be a cloud server.
The server may be hardware or software. When the server is hardware, it may be implemented as a distributed server cluster formed by multiple servers, or may be implemented as a single server. When the server is software, it may be implemented as multiple pieces of software or software modules (e.g., software or software modules used to provide distributed services), or as a single piece of software or software module. And is not particularly limited herein.
It should be further noted that the ex-warehouse method provided by the embodiment of the present application may be executed by a server, may also be executed by a terminal device, and may also be executed by the server and the terminal device in cooperation with each other. Accordingly, each part (for example, each unit) included in the ex-warehouse device may be entirely provided in the server, may be entirely provided in the terminal device, and may be provided in the server and the terminal device, respectively.
It should be understood that the number of terminal devices, networks, and servers in fig. 1 is merely illustrative. There may be any number of terminal devices, networks, and servers, as desired for implementation. When the electronic device on which the ex-warehouse method is operated does not need to perform data transmission with other electronic devices, the system architecture may only include the electronic device (e.g., a server or a terminal device) on which the ex-warehouse method is operated.
With continued reference to FIG. 2, a flow 200 of one embodiment of a method of ex-warehouse is shown, comprising the steps of:
step 201, combining the obtained multiple orders into at least one order set according to a preset combination rule.
In this embodiment, an executing entity (for example, the server in fig. 1) of the ex-warehouse method may obtain the order from a remote location or a local location through a wired network connection or a wireless network connection, so as to combine the obtained multiple orders into at least one order set according to a preset combination rule.
The preset combination rule is used for representing the limiting conditions followed in the combination process of the order set and can be flexibly set according to the actual application scene. Specifically, the execution main body may set a corresponding preset combination rule corresponding to each application scenario so as to be applicable to each application scenario.
As an example, the preset combination rule may include:
whether an item in an order is placed on line or not, and whether the placed order and the non-placed order form the same order set cannot be determined. The order of putting a line is an order for conveying articles through the conveying line, and is suitable for a warehouse with an automatic conveying line, and the order of not putting a line is an order for conveying articles through personnel.
Orders from different lots under the same SKU (Stock keeping Unit) cannot constitute the same order set.
Orders at different levels under the same SKU cannot be grouped into the same order set.
Orders placed under the same bar code and belonging to different owners cannot form the same order set.
Orders meeting different preset independent order combination requirements cannot form the same order set. The preset independent form combination requirements are suitable for orders which need to be independently combined to form an order set according to actual situations, corresponding independent templates can be set according to different preset independent form combination requirements, and the independent templates represent set parameters in the preset independent form combination requirements. As an example, a user may request delivery within a specified time when placing an order, and such an order may be considered to satisfy a preset independent order requirement that characterizes the delivery time.
Orders placed under different individualized production group numbers cannot form the same order set.
Whether independent production processes exist or not, orders of different production processes cannot form the same order set.
A label pick order cannot constitute the same set of orders as a non-label pick order. Wherein a label picking order is an order that identifies a particular need by a label.
Different serial numbers under the same SKU manage the required order label pick orders.
In this embodiment, the number of orders before the order sets are combined each time can be flexibly determined according to actual conditions. As an example, the operation of combining the set of orders may be performed in response to determining that the number of orders reaches a preset number threshold. As yet another example, orders within each preset time period may be combined into an order set in units of preset time periods.
Step 202, according to the picking mode, splitting each order set in at least one order set to obtain a plurality of picking tasks.
In this embodiment, the execution body may split each order set in at least one order set according to a picking manner to obtain a plurality of picking tasks.
In this embodiment, different picking modes generally correspond to different picking capacities, and therefore, the order set needs to be split according to the specific picking mode to obtain the corresponding picking task.
In some alternative implementations of the present embodiment, the picking mode includes at least one of:
and a picking mode based on information interaction between the paper document and a picking person. If the printing operation of the paper bill representing the picking task is carried out, the automatic picking is considered to be completed, and the detail of the picking task is recorded as a picking result.
The picking mode based on information interaction between the handheld device and the picking personnel. The execution body can support a picking task manually received by a picking person based on a Personal Digital Assistant (PDA) device or automatically received by the picking person based on the PDA device.
In the automatic receiving process, the execution main body automatically distributes an optimal picking task for picking personnel according to the service identities of different services. Specifically, the execution main body determines the picking task according to a work area allocated by the picking personnel, a task type allocated by the picking personnel and a task label allocated by the picking personnel.
The work areas allocated by the picking personnel generally comprise different storage areas, when the picking personnel allocates the corresponding work areas, the picking operation is only allowed to be carried out in the current work areas by default, and the picking task can only be a task in the work area where the picking personnel is located. The work area may be selected for switching if the picker temporarily adjusts the work area.
The type of tasks assigned to the picker varies and the process performed thereafter varies. The task label refers to a specific identifier of a certain task, such as identification information of the destination of an order, the type of the order (including single, multiple), the type of the storage area (zero picking, box picking, storage), the type of picking, the flow direction of the order, and the like, and can be infinitely extended according to different business scenarios.
The picking mode of picking is carried out by the picking robot. The WMS system automatically sends the picking task to the picking robot, and the picking robot informs the WMS after the picking robot completes execution.
And step 203, carrying out warehouse-out operation according to the plurality of picking tasks.
In this embodiment, the execution body may perform the warehouse-out operation according to a plurality of picking tasks
As an example, the execution body may execute the picking tasks in a picking manner corresponding to each picking task one by one, obtain the items corresponding to each picking task, and perform operations of split-sorting, confluence, rechecking, shelving to a delivery area, and the like on the items obtained by each picking task to perform delivery.
In some optional implementations of this embodiment, the executing main body may execute the step 203 by:
first, for each of a plurality of picking tasks, the picking task is performed by a targeted picking regime.
The target picking mode represents the picking mode according to which the picking task is obtained by splitting.
Secondly, according to the preset dimensionality, the goods obtained by executing each goods picking task are distributed, and the distributed goods are delivered out of the warehouse.
In the implementation mode, the preset dimension can be specifically set according to the actual condition so as to realize quick ex-warehouse operation. As an example, the execution subject may sort the items obtained by executing each picking task based on the pre-divided area range to obtain orders in the same area range based on the area dimension of the ordering user corresponding to the order.
In some optional implementations of the embodiment, the preset dimension is a vehicle dispatch unit dimension, and the vehicle dispatch unit dimension is used for representing that orders in the same vehicle dispatch unit are dispatched by one transport vehicle. As an example, the executing agent may plan a delivery route of a transportation vehicle according to delivery information of a user to which the order belongs, and determine an order involved in the same delivery route as an order required to be delivered by the transportation vehicle.
Specifically, the executing body may execute the second step by:
firstly, according to the dimension of the dispatching order, performing separate distribution on the items obtained by executing each picking task to obtain an item set corresponding to each dispatching order; then, the articles in the article set corresponding to each delivery order are converged, rechecked and put on the shelf to a delivery area for delivery operation.
In some optional implementations of the embodiment, the execution subject may further perform a shipping operation on the delivery order of the collected items in response to determining that the delivery order of the collected items exists in the plurality of delivery orders.
As an example, the execution body compares the number of commodities collected according to the current need with the number of distributed commodities, and allows the delivery of the delivery order when the number of distributed commodities is equal to the total number of commodities required by the delivery order.
With continued reference to fig. 3, fig. 3 is a schematic diagram 300 of an application scenario of the ex-warehouse method according to the present embodiment. In the application scenario of fig. 3, first, the server 301 obtains a plurality of orders, and combines the obtained orders into a plurality of order sets, including the order sets 302, 303, and 304, according to a preset combination rule. Then, for each order combination in the order sets 302, 303, 304, the order set is split according to the picking mode to obtain a plurality of picking tasks, wherein the order set 302 is split into a plurality of picking tasks 3021, 3022, 3023, the order set 303 is split into a plurality of picking tasks 3031, 3032, and the order set 304 is split into a plurality of picking tasks 3041, 3042, 3043, 3044. Finally, the server 301 performs the delivery operation according to the plurality of picking tasks.
According to the method provided by the embodiment of the application, the obtained orders are combined into at least one order set according to the preset combination rule; splitting each order set in at least one order set according to a picking mode to obtain a plurality of picking tasks; according to the multiple picking tasks, the ex-warehouse operation is carried out, so that the ex-warehouse method based on automatic order collection and splitting picking tasks is provided, the dependence on the distribution experience of task distributors is avoided, and the ex-warehouse efficiency of articles is improved.
With continuing reference to FIG. 4, an exemplary flow 400 of one embodiment of a method of ex-warehouse according to the present application is shown, including the steps of:
step 401, combining the obtained multiple orders into at least one order set according to a preset combination rule.
Step 402, according to the picking mode, splitting each order set in at least one order set to obtain a plurality of picking tasks.
For each pick task of the plurality of pick tasks, the pick task is performed by a targeted pick regime, step 403.
The target picking mode represents the picking mode according to which the picking task is obtained by splitting.
And step 404, according to the dimension of the dispatching order, performing separate distribution on the items obtained by executing each picking task to obtain an item set corresponding to each dispatching order.
Wherein the dispatch order dimension is used to characterize orders in the same dispatch order for dispatch by a transport vehicle.
And 405, converging, rechecking and putting the goods in the goods set corresponding to each delivery order into a delivery area for delivery operation.
As can be seen from this embodiment, compared with the embodiment corresponding to fig. 2, the flow 400 of the ex-warehouse method in this embodiment specifically illustrates a process of performing distribution based on a dispatching single dimension, so as to further improve the efficiency of ex-warehouse operation.
With continuing reference to fig. 5, as an implementation of the method shown in the above-mentioned figures, the present application provides an embodiment of a library apparatus, which corresponds to the embodiment of the method shown in fig. 2, and which can be applied to various electronic devices.
As shown in fig. 5, the delivery apparatus includes: a combining unit 501 configured to combine the acquired plurality of orders into at least one order set according to a preset combining rule; the splitting unit 502 is configured to split each order set in at least one order set according to a picking mode to obtain a plurality of picking tasks; the ex-warehouse unit 503 is configured to perform ex-warehouse operations according to a plurality of picking tasks.
In some optional implementations of this embodiment, the ex-warehouse unit 503 is further configured to: executing the picking task in a target picking mode for each picking task in the plurality of picking tasks, wherein the target picking mode represents the picking mode according to which the picking task is obtained by splitting; and according to the preset dimensionality, distributing the articles obtained by executing each picking task, and carrying out warehouse-out operation on the distributed articles.
In some optional implementations of this embodiment, the ex-warehouse unit 503 is further configured to: according to the dimension of the vehicle dispatching list, items obtained by executing each picking task are distributed to obtain an item set corresponding to each vehicle dispatching list, wherein the dimension of the vehicle dispatching list is used for representing that orders in the same vehicle dispatching list are dispatched through one transport vehicle; and merging, rechecking and putting the articles in the article set corresponding to each delivery order into a delivery area for delivery operation.
In some optional implementations of this embodiment, the apparatus further includes: a delivery unit (not shown in the figure) configured to perform a delivery operation on the delivery order of the collected items in response to a determination that the delivery order of the collected items exists in the plurality of delivery orders.
In some alternative implementations of the present embodiment, the picking mode includes at least one of: a picking mode based on information interaction between paper receipts and picking personnel; the picking mode based on information interaction between the handheld device and a picking person; the picking mode of picking is carried out by the picking robot.
In this embodiment, the combination unit in the ex-warehouse device combines the acquired multiple orders into at least one order set according to a preset combination rule; the splitting unit splits each order set in at least one order set according to a picking mode to obtain a plurality of picking tasks; the delivery unit carries out delivery operation according to a plurality of picking tasks, thereby providing a delivery device based on automatic order collection and splitting picking tasks, putting an end to the dependence on the distribution experience of task distributors, and improving the delivery efficiency of articles.
Referring now to FIG. 6, shown is a block diagram of a computer system 600 suitable for use in implementing devices of embodiments of the present application (e.g., devices 101, 102, 103, 105 shown in FIG. 1). The apparatus shown in fig. 6 is only an example, and should not bring any limitation to the function and use range of the embodiments of the present application.
As shown in fig. 6, the computer system 600 includes a processor (e.g., CPU, central processing unit) 601 that can perform various appropriate actions and processes according to a program stored in a Read Only Memory (ROM)602 or a program loaded from a storage section 608 into a Random Access Memory (RAM) 603. In the RAM603, various programs and data necessary for the operation of the system 600 are also stored. The processor 601, the ROM602, and the RAM603 are connected to each other via a bus 604. An input/output (I/O) interface 605 is also connected to bus 604.
The following components are connected to the I/O interface 605: an input portion 606 including a keyboard, a mouse, and the like; an output portion 607 including a display such as a Cathode Ray Tube (CRT), a Liquid Crystal Display (LCD), and the like, and a speaker; a storage section 608 including a hard disk and the like; and a communication section 609 including a network interface card such as a LAN card, a modem, or the like. The communication section 609 performs communication processing via a network such as the internet. The driver 610 is also connected to the I/O interface 605 as needed. A removable medium 611 such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, or the like is mounted on the drive 610 as necessary, so that a computer program read out therefrom is mounted in the storage section 608 as necessary.
In particular, according to embodiments of the application, the processes described above with reference to the flow diagrams may be implemented as computer software programs. For example, embodiments of the present application include a computer program product comprising a computer program embodied on a computer readable medium, the computer program comprising program code for performing the method illustrated by the flow chart. In such an embodiment, the computer program may be downloaded and installed from a network through the communication section 609, and/or installed from the removable medium 611. The computer program, when executed by the processor 601, performs the above-described functions defined in the method of the present application.
It should be noted that the computer readable medium of the present application can be a computer readable signal medium or a computer readable storage medium or any combination of the two. A computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples of the computer readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the present application, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. In this application, however, a computer readable signal medium may include a propagated data signal with computer readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to: wireless, wire, fiber optic cable, RF, etc., or any suitable combination of the foregoing.
Computer program code for carrying out operations for aspects of the present application may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, Smalltalk, C + + or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the client computer, partly on the client computer, as a stand-alone software package, partly on the client computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the client computer through any type of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet service provider).
The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of apparatus, methods and computer program products according to various embodiments of the present application. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
The units described in the embodiments of the present application may be implemented by software or hardware. The described units may also be provided in a processor, and may be described as: a processor includes a combining unit, a splitting unit, and a ex-warehouse unit. Where the names of the units do not in some cases constitute a limitation on the units themselves, for example, a combination unit may also be described as a "unit that combines the acquired plurality of orders into at least one order set according to a preset combination rule".
As another aspect, the present application also provides a computer-readable medium, which may be contained in the apparatus described in the above embodiments; or may be separate and not incorporated into the device. The computer readable medium carries one or more programs which, when executed by the apparatus, cause the computer device to: combining the obtained orders into at least one order set according to a preset combination rule; splitting each order set in at least one order set according to a picking mode to obtain a plurality of picking tasks; and carrying out warehouse-out operation according to the plurality of picking tasks.
The above description is only a preferred embodiment of the application and is illustrative of the principles of the technology employed. It will be appreciated by those skilled in the art that the scope of the invention herein disclosed is not limited to the particular combination of features described above, but also encompasses other arrangements formed by any combination of the above features or their equivalents without departing from the spirit of the invention. For example, the above features may be replaced with (but not limited to) features having similar functions disclosed in the present application.

Claims (12)

1. A method of ex-warehouse, comprising:
combining the obtained orders into at least one order set according to a preset combination rule;
according to a picking mode, splitting each order set in the at least one order set to obtain a plurality of picking tasks;
and carrying out warehouse-out operation according to the plurality of picking tasks.
2. The method of claim 1, wherein said performing an outbound operation based on said plurality of picking tasks comprises:
executing the picking task in a target picking mode for each picking task in the plurality of picking tasks, wherein the target picking mode represents the picking mode according to which the picking task is obtained by splitting;
and according to the preset dimensionality, distributing the articles obtained by executing each picking task, and carrying out warehouse-out operation on the distributed articles.
3. The method according to claim 2, wherein the sorting the items resulting from each picking task according to the preset dimension and the ex-warehouse operation of the sorted items comprises:
according to the dimension of a vehicle dispatching list, items obtained by executing each picking task are distributed to obtain an item set corresponding to each vehicle dispatching list, wherein the dimension of the vehicle dispatching list is used for representing that orders in the same vehicle dispatching list are dispatched through one transport vehicle;
and merging, rechecking and putting the articles in the article set corresponding to each delivery order into a delivery area for delivery operation.
4. The method of claim 3, further comprising:
and in response to determining that the delivery order of the collected items exists in the plurality of delivery orders, performing delivery operation on the delivery order of the collected items.
5. The method of claim 1, wherein the picking regime comprises at least one of:
a picking mode based on information interaction between paper receipts and picking personnel;
the picking mode based on information interaction between the handheld device and a picking person;
the picking mode of picking is carried out by the picking robot.
6. An ex-warehouse device, comprising:
a combining unit configured to combine the acquired plurality of orders into at least one order set according to a preset combining rule;
the splitting unit is configured to split each order set in the at least one order set according to a picking mode to obtain a plurality of picking tasks;
and the delivery unit is configured to carry out delivery operation according to the plurality of picking tasks.
7. The apparatus of claim 6, wherein the ex-warehouse unit is further configured to:
executing the picking task in a target picking mode for each picking task in the plurality of picking tasks, wherein the target picking mode represents the picking mode according to which the picking task is obtained by splitting; and according to the preset dimensionality, distributing the articles obtained by executing each picking task, and carrying out warehouse-out operation on the distributed articles.
8. The apparatus of claim 7, wherein the ex-warehouse unit is further configured to: according to the dimension of a vehicle dispatching list, items obtained by executing each picking task are distributed to obtain an item set corresponding to each vehicle dispatching list, wherein the dimension of the vehicle dispatching list is used for representing that orders in the same vehicle dispatching list are dispatched through one transport vehicle; and merging, rechecking and putting the articles in the article set corresponding to each delivery order into a delivery area for delivery operation.
9. The apparatus of claim 8, further comprising:
a shipping unit configured to perform a shipping operation on the delivery order for the collected items in response to determining that the delivery order for the collected items exists among the plurality of delivery orders.
10. The apparatus of claim 6, wherein the picking regime comprises at least one of:
a picking mode based on information interaction between paper receipts and picking personnel;
the picking mode based on information interaction between the handheld device and a picking person;
the picking mode of picking is carried out by the picking robot.
11. A computer-readable medium, on which a computer program is stored, wherein the program, when executed by a processor, implements the method of any one of claims 1-5.
12. An electronic device, comprising:
one or more processors;
a storage device having one or more programs stored thereon,
when executed by the one or more processors, cause the one or more processors to implement the method of any one of claims 1-5.
CN202110670854.0A 2021-06-15 2021-06-15 Warehouse-out method and device Pending CN113393193A (en)

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Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2023131187A1 (en) * 2022-01-06 2023-07-13 北京极智嘉科技股份有限公司 Goods picking method and apparatus
WO2023241030A1 (en) * 2022-06-16 2023-12-21 北京京东振世信息技术有限公司 Picking task execution method and apparatus, electronic device and computer readable medium

Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107918839A (en) * 2016-10-08 2018-04-17 阿里巴巴集团控股有限公司 A kind of sequence information processing method, apparatus and system
CN108846609A (en) * 2018-06-15 2018-11-20 北京极智嘉科技有限公司 Picking method, device, server and medium based on order taking responsibility
CN109160163A (en) * 2018-09-13 2019-01-08 北京科捷物流有限公司 It is a kind of based on the robot automatic sorting method divided when picking and its system
CN109658027A (en) * 2018-12-17 2019-04-19 北京极智嘉科技有限公司 A kind of processing method of order taking responsibility, device, server and medium
CN110807616A (en) * 2019-10-29 2020-02-18 上海悦易网络信息技术有限公司 Goods picking method and equipment
JP2020073407A (en) * 2019-12-12 2020-05-14 北京極智嘉科技有限公司 Relay-type article sorting system and sorting method
WO2020238657A1 (en) * 2019-05-28 2020-12-03 深圳市海柔创新科技有限公司 Goods sorting method and goods sorting system

Patent Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107918839A (en) * 2016-10-08 2018-04-17 阿里巴巴集团控股有限公司 A kind of sequence information processing method, apparatus and system
CN108846609A (en) * 2018-06-15 2018-11-20 北京极智嘉科技有限公司 Picking method, device, server and medium based on order taking responsibility
CN109160163A (en) * 2018-09-13 2019-01-08 北京科捷物流有限公司 It is a kind of based on the robot automatic sorting method divided when picking and its system
CN109658027A (en) * 2018-12-17 2019-04-19 北京极智嘉科技有限公司 A kind of processing method of order taking responsibility, device, server and medium
WO2020238657A1 (en) * 2019-05-28 2020-12-03 深圳市海柔创新科技有限公司 Goods sorting method and goods sorting system
CN110807616A (en) * 2019-10-29 2020-02-18 上海悦易网络信息技术有限公司 Goods picking method and equipment
JP2020073407A (en) * 2019-12-12 2020-05-14 北京極智嘉科技有限公司 Relay-type article sorting system and sorting method

Non-Patent Citations (3)

* Cited by examiner, † Cited by third party
Title
YI WANG; ZHUAN WANG; SHAN MI: "An order batching clustering algorithm of fixed maximum order number based on order picking system", 《2017 4TH INTERNATIONAL CONFERENCE ON INDUSTRIAL ECONOMICS SYSTEM AND INDUSTRIAL SECURITY ENGINEERING (IEIS)》, 27 July 2017 (2017-07-27) *
李晓春;: "仓储企业分区拣货作业优化策略", 机械设计与制造, no. 03, 8 March 2009 (2009-03-08) *
雷斌;蒋兆远;马殷元;: "配送中心分区同步拣货系统人员分配策略研究", 计算机工程与应用, no. 24, pages 4 - 9 *

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2023131187A1 (en) * 2022-01-06 2023-07-13 北京极智嘉科技股份有限公司 Goods picking method and apparatus
WO2023241030A1 (en) * 2022-06-16 2023-12-21 北京京东振世信息技术有限公司 Picking task execution method and apparatus, electronic device and computer readable medium

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