CN111695843A - Order data processing method and device, electronic equipment and computer readable medium - Google Patents

Order data processing method and device, electronic equipment and computer readable medium Download PDF

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CN111695843A
CN111695843A CN201910189896.5A CN201910189896A CN111695843A CN 111695843 A CN111695843 A CN 111695843A CN 201910189896 A CN201910189896 A CN 201910189896A CN 111695843 A CN111695843 A CN 111695843A
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shelf
identification
picking
workstation
packaging
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李玮
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Beijing Jingdong Century Trading Co Ltd
Beijing Jingdong Shangke Information Technology Co Ltd
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Beijing Jingdong Century Trading Co Ltd
Beijing Jingdong Shangke Information Technology Co Ltd
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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
    • G06Q10/083Shipping
    • 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

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Abstract

The disclosure relates to an order data processing method, an order data processing device, electronic equipment and a computer readable medium. The system can be applied to a logistics warehouse system, and the logistics warehouse system comprises an inventory shelf, an integrated workstation and a parcel shelf. The method comprises the following steps: obtaining order data, wherein the order data comprises at least one target commodity; determining an inventory shelf identification for the at least one target item; obtaining the at least one target item based on the inventory shelf identification; determining an integrated workstation identity and package shelf identity based on the at least one target item; and packaging the at least one target commodity based on the integrated workstation identification and the parcel shelf identification. The order data processing method, the order data processing device, the electronic equipment and the computer readable medium can solve the problem that the sorting and packaging are out of order in the existing logistics order fulfillment process, avoid the carrying of goods to be packaged and reduce the intervention time in the sorting and packaging process.

Description

Order data processing method and device, electronic equipment and computer readable medium
Technical Field
The present disclosure relates to the field of computer information processing, and in particular, to an order data processing method and apparatus, an electronic device, and a computer readable medium.
Background
The order picking efficiency of the current-generation logistics warehouse is an important factor influencing the order fulfillment efficiency. The traditional mode is that a picker moves to a fixed inventory rack containing order items to pick the items according to a system-specified path, namely an 'operator finding' picking mode.
With the development of internet technology, in a novel logistics warehouse, a movable storage shelf containing order commodities is transported to a fixed picking workstation by using an automatic transporter, a picker of the integrated workstation picks the commodities, and a picking mode of 'goods finding operators' is realized to start displaying advantages. The use of a picking system with automated handlers improves the overall efficiency of system order picking. However, the sorted goods are usually transported to a packing station or a rechecking station by manual work, and have a certain transport distance, which increases the transportation labor and time and limits the order fulfillment efficiency.
The current order processing mode has the following disadvantages: the picking and packing links are disjointed, and the picked commodities are manually transported to a packing table or a rechecking table by the aid of a special person or a packager/a picker due to double-duty assistance; a certain conveying distance is provided, so that the conveying manpower and time are increased; limited by the transportation path, poor flexibility and low expandability.
Therefore, a new order data processing method, apparatus, electronic device and computer readable medium are needed.
The above information disclosed in this background section is only for enhancement of understanding of the background of the disclosure and therefore it may contain information that does not constitute prior art that is already known to a person of ordinary skill in the art.
Disclosure of Invention
In view of this, the present disclosure provides an order data processing method, an order data processing apparatus, an electronic device, and a computer readable medium, which can solve the problem of disjointed sorting and packaging in the existing logistics order fulfillment process, avoid the transportation of the goods to be packaged, and reduce the intervention time in the sorting and packaging process.
Additional features and advantages of the disclosure will be set forth in the detailed description which follows, or in part will be obvious from the description, or may be learned by practice of the disclosure.
According to an aspect of the present disclosure, an order data processing method is provided, which may be applied to a logistics warehouse system, where the logistics warehouse system includes an inventory shelf, an integration workstation, and a parcel shelf, and the method includes: obtaining order data, wherein the order data comprises at least one target commodity; determining an inventory shelf identification for the at least one target item; obtaining the at least one target item based on the inventory shelf identification; determining an integrated workstation identity and package shelf identity based on the at least one target item; and packaging the at least one target commodity based on the integrated workstation identification and the parcel shelf identification.
In an exemplary embodiment of the present disclosure, further comprising: and acquiring the at least one packed target commodity based on the package shelf identification to carry out warehouse-out processing on the order data.
In an exemplary embodiment of the present disclosure, packaging the at least one target item based on the integrated workstation identification and the package shelf identification comprises: placing the at least one target commodity in a corresponding integration workstation based on the integration workstation identification; and packaging the at least one target commodity in the integration workstation.
In an exemplary embodiment of the present disclosure, placing the at least one target item in a corresponding integration workstation based on the integration workstation identification further comprises: determining automated handling equipment based on inventory rack identification and the integrated workstation identification.
In an exemplary embodiment of the present disclosure, the integrated workstation identifier comprises a picking identifier, a staging shelf identifier, and a packaging identifier; the packaging processing of the at least one target commodity comprises the following steps: performing picking processing on the at least one target commodity based on the picking identifier and the temporary storage rack identifier; and packaging the at least one target commodity based on the packaging identifier and the temporary storage shelf identifier.
In an exemplary embodiment of the present disclosure, further comprising: and when the number of the grids of the temporary storage shelf is larger than or equal to the number of the orders, packaging the target commodities in the orders.
In an exemplary embodiment of the present disclosure, the picking of the at least one target item based on the picking identifier and the staging shelf identifier comprises: placing the at least one target item into a corresponding picking position based on the picking identification; picking the at least one target item at the picking position; and placing the at least one target item after picking in a staging shelf based on the staging shelf identification.
In an exemplary embodiment of the present disclosure, the packaging the at least one target product based on the packaging identifier and the temporary storage shelf identifier includes: acquiring the at least one target commodity based on the temporary storage shelf identifier; placing the at least one target commodity into a packing position based on the packing identification; and packaging the at least one target commodity at the packaging position.
According to an aspect of the present disclosure, an order data processing apparatus is provided, the apparatus including: the order module is used for acquiring order data, and the order data comprises at least one target commodity; a shelf module for determining an inventory shelf identification for the at least one target item; a goods module for obtaining the at least one target good based on the inventory shelf identification; an integrated workstation module to determine an integrated workstation identity and a package shelf identity based on the at least one target commodity; and the packaging module is used for packaging the at least one target commodity based on the integrated workstation identification and the parcel shelf identification.
In an exemplary embodiment of the present disclosure, further comprising: and the ex-warehouse module is used for acquiring the at least one packed target commodity based on the parcel shelf identifier so as to carry out ex-warehouse processing on the order data.
According to an aspect of the present disclosure, an electronic device is provided, the electronic device including: one or more processors; storage means for storing one or more programs; when executed by one or more processors, cause the one or more processors to implement a method as above.
According to an aspect of the disclosure, a computer-readable medium is proposed, on which a computer program is stored, which program, when being executed by a processor, carries out the method as above.
According to the order data processing method, the order data processing device, the electronic equipment and the computer readable medium, the problem that the picking and the packing are out of order in the existing logistics order fulfillment process can be solved, the carrying of commodities to be packed can be avoided, and the intervention time in the picking and packing links is reduced.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the disclosure.
Drawings
The above and other objects, features and advantages of the present disclosure will become more apparent by describing in detail exemplary embodiments thereof with reference to the attached drawings. The drawings described below are merely some embodiments of the present disclosure, and other drawings may be derived from those drawings by those of ordinary skill in the art without inventive effort.
Fig. 1 is a block diagram illustrating an application scenario of an order data processing method and apparatus according to an exemplary embodiment.
Fig. 2 is a block diagram illustrating an application scenario of a method and an apparatus for processing order data according to an exemplary embodiment.
FIG. 3 is a flow chart illustrating a method of order data processing according to an exemplary embodiment.
FIG. 4 is a block diagram illustrating an order data processing apparatus according to an exemplary embodiment.
Fig. 5 is a block diagram illustrating an order data processing apparatus according to another exemplary embodiment.
Fig. 6 is a block diagram illustrating an order data processing apparatus according to another exemplary embodiment.
FIG. 7 is a block diagram illustrating an electronic device in accordance with an example embodiment.
FIG. 8 is a schematic diagram illustrating a computer-readable storage medium according to an example embodiment.
Detailed Description
Example embodiments will now be described more fully with reference to the accompanying drawings. Example embodiments may, however, be embodied in many different forms and should not be construed as limited to the embodiments set forth herein; rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the concept of example embodiments to those skilled in the art. The same reference numerals denote the same or similar parts in the drawings, and thus, a repetitive description thereof will be omitted.
Furthermore, the described features, structures, or characteristics may be combined in any suitable manner in one or more embodiments. In the following description, numerous specific details are provided to give a thorough understanding of embodiments of the disclosure. One skilled in the relevant art will recognize, however, that the subject matter of the present disclosure can be practiced without one or more of the specific details, or with other methods, components, devices, steps, and so forth. In other instances, well-known methods, devices, implementations, or operations have not been shown or described in detail to avoid obscuring aspects of the disclosure.
The block diagrams shown in the figures are functional entities only and do not necessarily correspond to physically separate entities. I.e. these functional entities may be implemented in the form of software, or in one or more hardware modules or integrated circuits, or in different networks and/or processor means and/or microcontroller means.
The flow charts shown in the drawings are merely illustrative and do not necessarily include all of the contents and operations/steps, nor do they necessarily have to be performed in the order described. For example, some operations/steps may be decomposed, and some operations/steps may be combined or partially combined, so that the actual execution sequence may be changed according to the actual situation.
It will be understood that, although the terms first, second, third, etc. may be used herein to describe various components, these components should not be limited by these terms. These terms are used to distinguish one element from another. Thus, a first component discussed below may be termed a second component without departing from the teachings of the disclosed concept. As used herein, the term "and/or" includes any and all combinations of one or more of the associated listed items.
It is to be understood by those skilled in the art that the drawings are merely schematic representations of exemplary embodiments, and that the blocks or processes shown in the drawings are not necessarily required to practice the present disclosure and are, therefore, not intended to limit the scope of the present disclosure.
In the technical scheme of the prior art, a movable inventory shelf containing ordered commodities is transported to a fixed picking workstation by an automatic transporter, and a picker of the integrated workstation picks the commodities, wherein the picking mode is based on a goods finding operator, and the picked commodities are generally transported to a rechecking table or a packing table manually for packing. The disclosure provides a sorting and packaging integration method for a logistics warehouse, which is used for improving the overall performance efficiency of orders. The method and the system can solve the problem of disjointed picking and packing in the existing logistics order fulfillment process, avoid carrying of goods to be packed, and reduce the intervention time of people in the picking and packing links.
The following detailed description of the present disclosure will be given with reference to specific examples.
Fig. 1 is a block diagram illustrating an application scenario of an order data processing method and apparatus according to an exemplary embodiment.
The system includes an inventory rack 410, an integration workstation 420, the integration workstation 420 including: the picking station 401, the packing station 402, and the integrating station 420 may further include: the auxiliary packing workstation 403, the buffer storage shelf 425, the handling device 430/431 and the logistics warehouse pick pack integrated management apparatus 440 and the transportable container 450. Wherein the handling container 450 may be a parcel shelf or a cage-wrapped shelf.
The inventory shelf 410 may store therein the target product 411 in the order data. The handling apparatus includes an article handling apparatus 430 and a parcel handling apparatus 431, where the article handling apparatus 430 and the parcel handling apparatus 431 may be the same or different handling apparatus or forklift. The pick executive objects may pick items 411 at the picking workstation 401 of the integration workstation 420 and temporarily store each item 411 in the picked order data on the order temporary storage shelf 425, and after each item 411 in the same order data is stored in the same order compartment on the order temporary storage shelf 425, the packed executive objects may be packed at the packing workstation 402/403 of the integration workstation 420, and the packed order packages 460 may be placed on the package shelf 450 and transported to the sorting point or next link by the package handling device 431.
In one embodiment, the packing execution object may be, for example, one or more of a packing robot, a packing workstation, and a packing execution line.
In one embodiment, efficiency matching between sorting and packing processes may be achieved by adding packing execution objects or adding packing station ports.
In one embodiment, the integrated workstation 420 integrates picking and packing, and then is matched with a carrying device to use, so that the inherent pattern of the whole logistics warehouse is broken, two separation links of traditional picking and packing are effectively integrated, the carrying of goods to be packed is avoided, the human intervention time in the picking and packing links is reduced, and the overall order fulfillment speed is accelerated.
Fig. 2 is a block diagram illustrating an application scenario of a method and an apparatus for processing order data according to an exemplary embodiment.
As shown in fig. 2, the logistics warehouse pick and pack integrated management system 400 represents a logistics fulfillment warehouse, and includes a pick and pack integrated management apparatus 440, a plurality of handling devices (e.g., unmanned handling robots) 430 and 431, a plurality of inventory racks 410, one or more integrated workstations 420 and their order staging racks 425, and one or more package racks 450.
Wherein the pick and pack integrated management device 440 may represent a plurality of components distributed in a warehousing inventory system. In general, the pick and pack integration management device 440 may include any suitable combination of hardware and software for the described functions. The integration workstation 420 may also include any associated companion components for processing the items, such as a scanner for recording the items as they enter and exit the logistics fulfillment warehouse, a display for providing information to an operator, a communication interface for communicating with the picking and packaging integration management device 440, and any other suitable components, including possibly computing devices with computing processing capabilities. The integrated workstation 420 includes an order staging shelf 425, picking station 401 and packing stations 402 and 403, which may be controlled by human operators or fully automated. Order escrow shelf 425 is comprised of a plurality of order escrow cells of different sizes for aggregating and escrowing the picked order items for the same order to be packaged, and package shelf 450 is used to store packaged order packages 460.
The warehouse work area 4010 represents a work area associated with the logistics warehouse pick and pack integrated management system, and is used for storing the inventory racks 410, the parcel racks 450, and the handling equipment 430/431. The warehouse work area 4010 may represent all or a part of an area of a logistics warehouse which is managed by the picking and packing integrated management apparatus 440. Within the stocker area 4010, the transfer devices 430 may be shuttled between the stocker storage locations 452 and the integrated workstation 420, carrying respective inventory racks.
The pick and pack integration management apparatus 440, having determined the integration workstations 420 and the inventory racks 410, will select a group of handling devices 430 to handle the selected group of inventory racks 410 to the selected integration workstation 420. As shown in FIG. 2, the handling device 430A travels and docks to the inventory rack 410A via path 431A, lifts it, handles it, and travels to the picking workstation 401A of the selected integration workstation 420A via path 432A. The picking operator at the picking workstation 401A may begin picking the requested order item 411 in the shelf and placing the picked item 411 in the corresponding bin of the order escrow shelf 425A. Once the picking operation has been completed, the selected integrated workstation 420A or the selected handling device 430A may notify the pick and pack integrated management apparatus 440 to indicate that the selected integrated workstation 420A is available for operation in a subsequent pick request, or the selected handling device 430A may return the shipped inventory shelf 410A to the appropriate empty storage location 451.
After all items in an order have been picked, a packer at packing station 402 or 403 of the integration workstation 420 removes the picked order items 411 from the corresponding compartments of the order staging shelf 425 for packing, and places the packed order packages on the package shelf 450 for shipment by the handling device 431 to a sorting point or to a next link.
In the embodiment, the integrated workstation integrates picking and packaging, and is matched with the use of the carrying equipment, so that the inherent pattern of the whole logistics warehouse is broken, the two separation links of traditional picking and packaging are effectively integrated, the carrying of commodities to be packaged is avoided, the human intervention time in the picking and packaging links is reduced, and the overall order fulfillment speed is accelerated.
FIG. 3 is a flow chart illustrating a method of order data processing according to an exemplary embodiment. The order data processing method 30 includes at least steps S302 to S308.
As shown in fig. 3, in S302, order data is obtained, where the order data includes at least one target product. The order data may be one or a group of item picking requests including items contained in the order. The goods picking request can be carried out in any communication mode suitable for the warehousing and storage system, and the picking and packaging integrated management device can select different components of the warehousing and storage system to complete the inventory request.
In S304, an inventory shelf identification of the at least one target item is determined. One or more inventory racks storing the items in the order are determined, wherein if there are multiple sets of inventory racks meeting the requirement, one set of racks can be selected according to a predetermined rule, for example, a set of inventory racks with the shortest total distance from the integration workstation is selected in any manner.
In S306, the at least one target item is obtained based on the inventory shelf identification. Wherein, the goods carrying equipment can be carrying equipment. For example, after determining which of the handling equipment is available, an optimal set of handling equipment is selected from the available handling equipment to handle a set of inventory racks storing items in an order to the corresponding integrated workstation. The optimal handling device may be, for example, the handling device closest to the inventory rack and the integration workstation.
In one embodiment, picking instructions including inventory racks and integrated workstation identification information may also be sent to the article handling equipment, for example, for the article handling equipment to transport the inventory racks to the integrated workstation for picking packaging. And after receiving the picking instruction, the carrying equipment moves to the inventory shelves storing the commodities in the order based on the inventory shelf identifications, and then jacks up the inventory shelves and carries the inventory shelves to the picking work station of the selected integration work station.
In S308, an integrated workstation identification and package shelf identification is determined based on the at least one target item. Specifically, for example, the at least one target commodity is placed in the corresponding integration workstation based on the integration workstation identification; and packaging the at least one target commodity in the integration workstation.
In one embodiment, where the integration workstations may be distributed to designated locations in the logistics inventory warehouse, one integration workstation may be selected from a plurality of integration workstations to complete order picking. More specifically, each inventory shelf may store one or more types of items to be picked from an order request.
In one embodiment, placing the at least one target item in a corresponding integration workstation based on the integration workstation identification further comprises: determining automated handling equipment based on inventory rack identification and the integrated workstation identification. May, for example, determine an article handling apparatus that handles inventory racks; and sending a picking instruction containing the inventory shelves and the identification information of the integrated workstation to the commodity carrying equipment so that the automatic carrying equipment can carry the inventory shelves to the corresponding integrated workstation for subsequent picking and packaging.
In one embodiment, after the optimal set of article handling devices is determined, a set of inventory racks storing articles in the order is shipped to a picking workstation of the selected corresponding integration workstation, article picking is performed at the picking workstation by a picking execution object (e.g., a picking operator or robot), and the picked articles to be packaged are stored in a shared order staging rack of the integration workstation. After all the goods in an order are picked, the packing workstation in the integrated workstation packs the goods in the same order by a packing execution object (such as a packing operator or a packer), wherein the optimal goods carrying device can be, for example, the goods carrying device closest to the picking position of the integrated workstation.
Pick picking grid positions and order escrow shelf grid positions may also be specified by the picking position indicators for pickers to pick. The position indicator is used to designate a starting position of the picked item on the inventory shelf. The order picker picks the items on the stock shelves at the picking position of the integration workstation according to the indicated item (e.g. by light beam irradiation and/or screen display), and places the picked order items in the designated order temporary storage shelf item at the side of the picking workstation according to the state indicating position. Where each scratch shelf compartment may correspond to an order, a status indicator light on the compartment status (e.g., illuminated) indicates the destination of the item currently being picked.
In S310, the at least one target item is packaged based on the integrated workstation identifier and the package shelf identifier. The integrated workstation identification comprises a picking identification, a temporary storage shelf identification and a packaging identification; the packaging processing of the at least one target commodity comprises the following steps: performing picking processing on the at least one target commodity based on the picking identifier and the temporary storage rack identifier; and packaging the at least one target commodity based on the packaging identifier and the temporary storage shelf identifier.
In one embodiment, the picking of the at least one target item based on the picking and staging shelf identifications comprises: placing the at least one target item into a corresponding picking position based on the picking identification; picking the at least one target item at the picking position; and placing the at least one target item after picking in a staging shelf based on the staging shelf identification.
More specifically, a picking instruction comprising inventory shelf goods grids and order goods identification and order temporary storage shelf goods grid identification of the integrated workstation is sent to a picking workstation of the integrated workstation, so that a picking execution object can pick the specific goods grids of the inventory shelf according to the picking instruction and store the picked order goods into the corresponding goods grids of the order temporary storage shelf in order units. The order temporary storage shelf is shared by a picking workstation and a packing workstation of the integrated workstation and is used for temporarily storing commodities to be packed and taking orders as units, and the commodities can be packed after the orders are picked.
In one embodiment, the packaging the at least one target product based on the packaging identifier and the temporary storage shelf identifier comprises: acquiring the at least one target commodity based on the temporary storage shelf identifier; placing the at least one target commodity into a packing position based on the packing identification; and packaging the at least one target commodity at the packaging position.
And a packing position indicator on one side of the packing workstation of the integrated workstation designates the position of the order temporary storage goods shelf goods grid after the sorting is finished so that a packer can carry out operations related to packing, such as goods taking, goods delivery printing, packing, weighing, label printing and the like on the packing workstation of the integrated workstation. If the auxiliary packed execution object is logged/taken into use, it may also perform the operation. For example, the pack execution object may press a pick complete button on the order buffer shelf or the system may automatically send a pick complete message to notify the system to release the shelf for future picking. When the conventional packing staff can not process the packing task in time, the auxiliary packing staff can dynamically join the auxiliary packing station of the integrated workstation needing to be supported at any time for packing.
The packing station of the integrated workstation (a plurality of packing stations can be integrated with one picking station) receives or generates a packing instruction comprising information such as order temporary storage shelf lattice position identification and printing labels, so that a packer completes the packing operation at the packing station of the integrated workstation. Wherein the packaging instructions may be in any communication suitable for use in a warehousing inventory system.
In the embodiment, the sorted goods are put into the shared 'back-to-back' order temporary storage rack with the assistance of the position indicator, then the goods can be directly taken out from the shared order temporary storage rack by a packer at the other side of the order temporary storage rack, the two separation links of traditional sorting and packing are effectively integrated together through the 'two and one' functions of sorting and packing, meanwhile, a multi-product rechecking link and a transportation link from sorting to packing are not needed, the carrying of the goods to be packed is avoided, the human intervention time in the sorting and packing links is reduced, and the overall order fulfillment speed is accelerated. In addition, under the condition that the packing speed cannot be matched with the picking speed, when a conventional packer cannot process the packing task in time, the auxiliary packer can be added into an auxiliary packing station of the integrated workstation needing to be supported at any time for packing, and the picking and packing work in parallel, so that the order which is picked can be packed in time.
More specifically, a packaging instruction containing order temporary storage goods shelf identification information is sent to a packaging workstation of the integrated workstation, so that the packaging execution object can fetch goods from the order temporary storage goods shelf according to the packaging instruction, and the fetched goods are packaged at the packaging workstation of the integrated workstation. Under the condition that the packing speed cannot be matched with the picking speed, when a conventional packer cannot timely process a packing task, the auxiliary packer can dynamically add to an auxiliary packing station of an integrated workstation needing to be supported at any time for packing, and the picking and packing work in parallel, so that the order which is picked can be timely packed.
In one embodiment, the sorted goods are put into the shared 'back-to-back' order temporary storage rack from one side of the sorting workstation of the integrated workstation, and a packer on the side of the packing workstation opposite to the order temporary storage rack directly takes the goods out of the shared order temporary storage rack, so that the carrying of the goods to be packed is avoided, and the human intervention time in the sorting and packing links is reduced. The picking-packaging integration method accelerates the overall fulfillment speed of the order.
In one embodiment, further comprising: and when the number of the grids of the temporary storage shelf is larger than or equal to the number of the orders, packaging the target commodities in the orders. Wherein the number of orders in an order request to an integrated workstation must be less than or equal to the number of scratch pad shelf offerings of the correct type available. An integrated workstation without an available temporary storage rack compartment is not available. The order temporary storage shelf is used for temporarily storing commodities to be packaged and taking orders as units.
The method and the device avoid the carrying of the goods to be packaged and reduce the human intervention time in the picking and packaging links. In addition, under the condition that the packing speed cannot be matched with the picking speed, an auxiliary packing member can be dynamically added into an auxiliary packing station of the integrated workstation needing to be supported at any time for packing, and the picking and packing work is carried out in parallel, so that the picked orders can be packed in time. Therefore, the method and the system reduce the labor cost and realize more optimized comprehensive cost and efficiency of order fulfillment.
It should be clearly understood that this disclosure describes how to make and use particular examples, but the principles of this disclosure are not limited to any details of these examples. Rather, these principles can be applied to many other embodiments based on the teachings of the present disclosure.
Those skilled in the art will appreciate that all or part of the steps implementing the above embodiments are implemented as computer programs executed by a CPU. When executed by the CPU, performs the functions defined by the above-described methods provided by the present disclosure. The program may be stored in a computer readable storage medium, which may be a read-only memory, a magnetic or optical disk, or the like.
Furthermore, it should be noted that the above-mentioned figures are only schematic illustrations of the processes involved in the methods according to exemplary embodiments of the present disclosure, and are not intended to be limiting. It will be readily understood that the processes shown in the above figures are not intended to indicate or limit the chronological order of the processes. In addition, it is also readily understood that these processes may be performed synchronously or asynchronously, e.g., in multiple modules.
The following are embodiments of the disclosed apparatus that may be used to perform embodiments of the disclosed methods. For details not disclosed in the embodiments of the apparatus of the present disclosure, refer to the embodiments of the method of the present disclosure.
FIG. 4 is a block diagram illustrating an order data processing apparatus according to an exemplary embodiment. As shown in fig. 4, the order data processing apparatus 40 includes: the order module 4002, the shelf module 4004, the commodity module 4006, the integrated workstation module 4008, and the packaging module 4010.
The order module 4002 is configured to obtain order data, where the order data includes at least one target product;
the shelf module 4004 is configured to determine an inventory shelf identifier for the at least one target item;
the goods module 4006 is configured to obtain the at least one target good based on the inventory shelf identifier;
the integration workstation module 4008 is configured to determine an integration workstation identification and a package shelf identification based on the at least one target item; and
the packaging module 4010 is configured to package the at least one target product based on the integrated workstation identifier and the package shelf identifier.
Fig. 5 is a block diagram illustrating an order data processing apparatus according to another exemplary embodiment. As shown in fig. 5, the order data processing apparatus 50 further includes, in addition to the order data processing apparatus 40: an ex-warehouse module 502.
The ex-warehouse module 502 is configured to obtain the at least one packaged target commodity based on the package shelf identifier to perform ex-warehouse processing on the order data.
According to the order data processing device disclosed by the invention, the problem that the picking and the packing are disjointed in the existing logistics order fulfillment process can be solved, the carrying of the goods to be packed can be avoided, and the intervention time in the picking and packing links is reduced.
Fig. 6 is a block diagram illustrating an order data processing apparatus according to another exemplary embodiment. As shown in fig. 6, the order data processing apparatus 60 includes a picking request receiving unit 610, an integrated workstation determining unit 620, an inventory shelf determining unit 630, a handling device determining unit 640, a picking control unit 650, an integrated workstation picking unit 660, a packing control unit 670, and an integrated workstation packing unit 680.
The picking request receiving unit 610 is used for receiving or generating a group of goods picking requests, i.e. picking one or more goods stored in the warehouse system.
The integrated workstation determination unit 620 is used to determine an integrated workstation that completes the order request. Wherein the integration workstations are distributed to designated locations in the logistics inventory warehouse, one integration workstation can be selected from a plurality of integration workstations to complete order picking.
The inventory shelf determination unit 630 is used to determine the inventory shelves on which the items in the order are stored. Where each inventory shelf stores one or more types of items to be picked from a customer order request.
The handling apparatus determination unit 640 is used to determine an article handling apparatus for handling each selected stock shelf storing articles in order to the integrated workstation. For example, after determining which of the handling equipment is available, an optimal set of handling equipment is selected from the available handling equipment to handle a set of inventory racks storing items in an order to the corresponding integrated workstation. The optimal handling device may be, for example, the handling device closest to the inventory rack and the integration workstation. The article carrying apparatus may be a carrying robot.
The picking control unit 650 is configured to perform picking control based on the integrated workstation and the inventory rack storing the goods in the order, and is configured to send a picking instruction including the inventory rack and the integrated workstation identification information to the goods handling apparatus, so that the goods handling apparatus handles the inventory rack to the integrated workstation. The picking and packaging integrated management device carries the selected inventory shelf or the position identification thereof and the selected integrated workstation or the position identification information thereof when sending a picking instruction to the carrying equipment. And after receiving the picking instruction, the carrying equipment moves to the inventory shelf storing the goods in the order based on the inventory shelf identification, and then jacks up the inventory shelf and carries the inventory shelf to the picking station of the selected integration workstation.
In addition, the picking control unit 650 is further configured to send a picking instruction including inventory rack grids, order items and order temporary storage rack grid information of the integrated workstation to the picking station of the integrated workstation, so that the picking execution object picks the inventory rack according to the picking instruction, and stores the picked items to be packaged into corresponding grids of the temporary storage rack, where each temporary storage rack grid corresponds to one order.
The integrated workstation picking unit 660 is configured to provide location indications of the picking sides of the user work interface, the picking inventory racks, and the staging racks to assist in picking the performing objects to complete the picking task.
The packing control unit 670 is configured to perform packing control based on the goods sorting completion status in the order temporary storage shelf goods grid, send a packing instruction containing identification information of the order temporary storage shelf goods grid to a packing execution object of the logged-in integrated workstation packing station after all goods are sorted in the order, so that a packer directly takes out the goods from the specified order temporary storage shelf goods grid according to the packing instruction to pack the goods, send all goods identifications in the order to be packed to the packing workstation of the integrated workstation, and thus, the order in which the goods sorting is completed is packed, labeled and other required operations are performed by the packing execution object at the packing workstation of the integrated workstation.
The integrated workstation packaging unit 680 is configured to provide a user interface and a position indication of the packaging side of the staging rack for packaging the executable to complete the picking task.
In the embodiment, under the control of the picking control unit, the picked commodities are placed into the order temporary storage rack, then the commodities are taken out from the shared order temporary storage rack directly by a packer opposite to the order temporary storage rack under the control of the packing control unit, and through the functions of 'two and one' of picking and packing, the traditional two separation links of picking and packing are effectively integrated together, and meanwhile, a multi-commodity rechecking link and a transportation link from picking to packing are not needed, so that the carrying of the commodities to be packed is avoided, the human intervention time in the picking and packing links is reduced, and the overall order fulfillment speed is accelerated.
FIG. 7 is a block diagram illustrating an electronic device in accordance with an example embodiment.
An electronic device 200 according to this embodiment of the present disclosure is described below with reference to fig. 7. The electronic device 200 shown in fig. 7 is only an example, and should not bring any limitation to the functions and the scope of use of the embodiments of the present disclosure.
As shown in fig. 7, the electronic device 200 is embodied in the form of a general purpose computing device. The components of the electronic device 200 may include, but are not limited to: at least one processing unit 210, at least one memory unit 220, a bus 230 connecting different system components (including the memory unit 220 and the processing unit 210), a display unit 240, and the like.
Wherein the storage unit stores program code executable by the processing unit 210 to cause the processing unit 210 to perform the steps according to various exemplary embodiments of the present disclosure described in the above-mentioned electronic prescription flow processing method section of the present specification. For example, the processing unit 210 may perform the steps as shown in fig. 3.
The memory unit 220 may include readable media in the form of volatile memory units, such as a random access memory unit (RAM)2201 and/or a cache memory unit 2202, and may further include a read only memory unit (ROM) 2203.
The storage unit 220 may also include a program/utility 2204 having a set (at least one) of program modules 2205, such program modules 2205 including, but not limited to: an operating system, one or more application programs, other program modules, and program data, each of which, or some combination thereof, may comprise an implementation of a network environment.
Bus 230 may be one or more of several types of bus structures, including a memory unit bus or memory unit controller, a peripheral bus, an accelerated graphics port, a processing unit, or a local bus using any of a variety of bus architectures.
The electronic device 200 may also communicate with one or more external devices 300 (e.g., keyboard, pointing device, bluetooth device, etc.), with one or more devices that enable a user to interact with the electronic device 200, and/or with any devices (e.g., router, modem, etc.) that enable the electronic device 200 to communicate with one or more other computing devices. Such communication may occur via an input/output (I/O) interface 250. Also, the electronic device 200 may communicate with one or more networks (e.g., a Local Area Network (LAN), a Wide Area Network (WAN), and/or a public network such as the Internet) via the network adapter 260. The network adapter 260 may communicate with other modules of the electronic device 200 via the bus 230. It should be appreciated that although not shown in the figures, other hardware and/or software modules may be used in conjunction with the electronic device 200, including but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, and data backup storage systems, among others.
Through the above description of the embodiments, those skilled in the art will readily understand that the exemplary embodiments described herein may be implemented by software, or by software in combination with necessary hardware. Therefore, the technical solution according to the embodiments of the present disclosure may be embodied in the form of a software product, which may be stored in a non-volatile storage medium (which may be a CD-ROM, a usb disk, a removable hard disk, etc.) or on a network, and includes several instructions to enable a computing device (which may be a personal computer, a server, or a network device, etc.) to execute the above method according to the embodiments of the present disclosure.
Fig. 8 schematically illustrates a computer-readable storage medium in an exemplary embodiment of the disclosure.
Referring to fig. 8, a program product 400 for implementing the above method according to an embodiment of the present disclosure is described, which may employ a portable compact disc read only memory (CD-ROM) and include program code, and may be run on a terminal device, such as a personal computer. However, the program product of the present disclosure is not limited thereto, and in this document, a 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.
The program product may employ any combination of one or more readable media. The readable medium may be a readable signal medium or a readable storage medium. A 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 (a non-exhaustive list) of the readable storage medium include: an electrical connection having one or more wires, a portable disk, 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.
The computer readable storage medium may include a propagated data signal with 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 readable storage medium may also be any readable medium that is not a 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 readable storage medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.
Program code for carrying out operations for the present disclosure may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, 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 user's computing device, partly on the user's device, as a stand-alone software package, partly on the user's computing device and partly on a remote computing device, or entirely on the remote computing device or server. In the case of a remote computing device, the remote computing device may be connected to the user computing device through any kind of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or may be connected to an external computing device (e.g., through the internet using an internet service provider).
The computer readable medium carries one or more programs which, when executed by a device, cause the computer readable medium to perform the functions of: obtaining order data, wherein the order data comprises at least one target commodity; determining an inventory shelf identification for the at least one target item; obtaining the at least one target item based on the inventory shelf identification; determining an integrated workstation identity and package shelf identity based on the at least one target item; and packaging the at least one target commodity based on the integrated workstation identification and the parcel shelf identification.
Those skilled in the art will appreciate that the modules described above may be distributed in the apparatus according to the description of the embodiments, or may be modified accordingly in one or more apparatuses unique from the embodiments. The modules of the above embodiments may be combined into one module, or further split into multiple sub-modules.
Through the above description of the embodiments, those skilled in the art will readily understand that the exemplary embodiments described herein may be implemented by software, or by software in combination with necessary hardware. Therefore, the technical solution according to the embodiments of the present disclosure may be embodied in the form of a software product, which may be stored in a non-volatile storage medium (which may be a CD-ROM, a usb disk, a removable hard disk, etc.) or on a network, and includes several instructions to enable a computing device (which may be a personal computer, a server, a mobile terminal, or a network device, etc.) to execute the method according to the embodiments of the present disclosure.
Exemplary embodiments of the present disclosure are specifically illustrated and described above. It is to be understood that the present disclosure is not limited to the precise arrangements, instrumentalities, or instrumentalities described herein; on the contrary, the disclosure is intended to cover various modifications and equivalent arrangements included within the spirit and scope of the appended claims.
In addition, the structures, the proportions, the sizes, and the like shown in the drawings of the present specification are only used for matching with the contents disclosed in the specification, so as to be understood and read by those skilled in the art, and are not used for limiting the limit conditions which the present disclosure can implement, so that the present disclosure has no technical essence, and any modification of the structures, the change of the proportion relation, or the adjustment of the sizes, should still fall within the scope which the technical contents disclosed in the present disclosure can cover without affecting the technical effects which the present disclosure can produce and the purposes which can be achieved. In addition, the terms "above", "first", "second" and "a" as used in the present specification are for the sake of clarity only, and are not intended to limit the scope of the present disclosure, and changes or modifications of the relative relationship may be made without substantial changes in the technical content.

Claims (12)

1. An order data processing method can be applied to a logistics warehouse system, wherein the logistics warehouse system comprises an inventory shelf, an integrated workstation and a parcel shelf, and is characterized by comprising the following steps:
obtaining order data, wherein the order data comprises at least one target commodity;
determining an inventory shelf identification for the at least one target item;
obtaining the at least one target item based on the inventory shelf identification;
determining an integrated workstation identity and package shelf identity based on the at least one target item; and
and packaging the at least one target commodity based on the integrated workstation identification and the package shelf identification.
2. The method of claim 1, further comprising:
and acquiring the at least one packed target commodity based on the package shelf identification to carry out warehouse-out processing on the order data.
3. The method of claim 1, wherein packaging the at least one target item based on the integrated workstation identification and the package shelf identification comprises:
placing the at least one target commodity in a corresponding integration workstation based on the integration workstation identification; and
and packaging the at least one target commodity in the integration workstation.
4. The method of claim 3, wherein placing the at least one target item in a corresponding integration workstation based on the integration workstation identification further comprises:
determining automated handling equipment based on inventory rack identification and the integrated workstation identification.
5. The method of claim 3, wherein the integrated workstation identification comprises a pick identification, a staging shelf identification, and a package identification;
the packaging processing of the at least one target commodity comprises the following steps:
performing picking processing on the at least one target commodity based on the picking identifier and the temporary storage rack identifier; and
and packaging the at least one target commodity based on the packaging identifier and the temporary storage shelf identifier.
6. The method of claim 5, further comprising:
and when the number of the grids of the temporary storage shelf is larger than or equal to the number of the orders, packaging the target commodities in the orders.
7. The method of claim 5, wherein performing a picking process on the at least one target item based on the picking identifier and a staging shelf identifier comprises:
placing the at least one target item into a corresponding picking position based on the picking identification;
picking the at least one target item at the picking position; and
placing the at least one target item after picking in a staging shelf based on the staging shelf identification.
8. The method of claim 5, wherein packaging the at least one target item based on the packaging identifier and a staging shelf identifier comprises:
acquiring the at least one target commodity based on the temporary storage shelf identifier;
placing the at least one target commodity into a packing position based on the packing identification; and
and packaging the at least one target commodity at the packaging position.
9. An order data processing device, which can be applied to a logistics warehouse system, wherein the logistics warehouse system comprises an inventory shelf, an integrated workstation and a parcel shelf, and is characterized by comprising:
the order module is used for acquiring order data, and the order data comprises at least one target commodity;
a shelf module for determining an inventory shelf identification for the at least one target item;
a goods module for obtaining the at least one target good based on the inventory shelf identification;
an integrated workstation module to determine an integrated workstation identity and a package shelf identity based on the at least one target commodity; and
and the packaging module is used for packaging the at least one target commodity based on the integrated workstation identification and the parcel shelf identification.
10. The apparatus of claim 9, further comprising:
and the ex-warehouse module is used for acquiring the at least one packed target commodity based on the parcel shelf identifier so as to carry out ex-warehouse processing on the order data.
11. An electronic device, comprising:
one or more processors;
storage means for storing one or more programs;
when executed by the one or more processors, cause the one or more processors to implement the method of any one of claims 1-8.
12. A computer-readable medium, on which a computer program is stored, which, when being executed by a processor, carries out the method according to any one of claims 1-8.
CN201910189896.5A 2019-03-13 2019-03-13 Order data processing method and device, electronic equipment and computer readable medium Pending CN111695843A (en)

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Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113034078A (en) * 2021-03-31 2021-06-25 深圳市海柔创新科技有限公司 Goods delivery control method, device, equipment, system, medium and product
CN113428547A (en) * 2021-07-29 2021-09-24 湖北物资流通技术研究所(湖北物资流通生产力促进中心) Goods-to-person holographic image sorting workstation and operation method
CN115953111A (en) * 2023-01-09 2023-04-11 合肥市链码腾云信息技术有限公司 Order picking verification method, system, terminal and storage medium

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113034078A (en) * 2021-03-31 2021-06-25 深圳市海柔创新科技有限公司 Goods delivery control method, device, equipment, system, medium and product
CN113428547A (en) * 2021-07-29 2021-09-24 湖北物资流通技术研究所(湖北物资流通生产力促进中心) Goods-to-person holographic image sorting workstation and operation method
CN115953111A (en) * 2023-01-09 2023-04-11 合肥市链码腾云信息技术有限公司 Order picking verification method, system, terminal and storage medium
CN115953111B (en) * 2023-01-09 2023-09-08 合肥市链码腾云信息技术有限公司 Verification method, system, terminal and storage medium for order picking

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