CN116934215A - Scheduling method and device for order delivery, electronic equipment and readable medium - Google Patents

Scheduling method and device for order delivery, electronic equipment and readable medium Download PDF

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Publication number
CN116934215A
CN116934215A CN202210380805.8A CN202210380805A CN116934215A CN 116934215 A CN116934215 A CN 116934215A CN 202210380805 A CN202210380805 A CN 202210380805A CN 116934215 A CN116934215 A CN 116934215A
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China
Prior art keywords
order
picking
area
articles
pick
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Chinese (zh)
Inventor
王惠敏
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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 CN202210380805.8A priority Critical patent/CN116934215A/en
Publication of CN116934215A publication Critical patent/CN116934215A/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
    • G06Q30/00Commerce
    • G06Q30/06Buying, selling or leasing transactions
    • G06Q30/0601Electronic shopping [e-shopping]
    • G06Q30/0633Lists, e.g. purchase orders, compilation or processing
    • G06Q30/0635Processing of requisition or of purchase orders
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02PCLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
    • Y02P90/00Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
    • Y02P90/30Computing systems specially adapted for manufacturing

Abstract

The disclosure provides a scheduling method, a device, electronic equipment and a readable medium for order delivery, wherein the scheduling method for order delivery comprises the following steps: determining a production flow of the order to be placed according to the quantity and the category of the articles in the order to be placed, wherein the production flow comprises at least one of picking, rechecking and sub-sowing; according to the order quantity of the order to be placed, stopping the order to be placed; determining picking processing information of the articles according to the production flow of the to-be-picked orders subjected to the interception processing and the storage conditions of a preset storage area; and picking and warehousing the articles according to the picking processing information. According to the embodiment of the disclosure, the response speed of the order in the bin is improved, the backlog quantity and the data processing pressure of the order are reduced, the order production capacity in the bin is improved, and the production cost is reduced.

Description

Scheduling method and device for order delivery, electronic equipment and readable medium
Technical Field
The disclosure relates to the technical field of logistics, in particular to a scheduling method and device for order delivery, electronic equipment and a readable medium.
Background
At present, a WMS (Warehouse Management System ) system can independently execute inventory operation, can also be combined with documents, certificates and the like of other systems to be used, can provide more complete enterprise logistics management flow and financial management information for enterprises, and a large number of orders can continuously and directly interact with the WMS after being processed by an upstream system.
In the related art, orders flowing to WMS system immediately occupy inventory of cargo space according to existing processing logic of WMS system.
However, orders which cannot be produced in the same day continuously enter the WMS system and consume resources of the WMS server, so that unnecessary influences are caused to production links such as order taking, task distribution, order rechecking and packaging, serious backlog of orders in a warehouse is caused, and order delivery efficiency is also reduced.
It should be noted that the information disclosed in the above background section is only for enhancing understanding of the background of the present disclosure and thus may include information that does not constitute prior art known to those of ordinary skill in the art.
Disclosure of Invention
An object of the present disclosure is to provide a scheduling method, apparatus, electronic device, and readable medium for order delivery, which overcome, at least to some extent, the problem of low order delivery efficiency due to limitations and drawbacks of the related art.
According to a first aspect of an embodiment of the present disclosure, there is provided a scheduling method for order delivery, including: determining a production flow of an order to be placed according to the quantity and the category of the articles in the order to be placed, wherein the production flow comprises at least one of picking, rechecking and sub-sowing; intercepting the order to be placed according to the order quantity of the order to be placed; determining picking processing information of the articles according to the production flow of the to-be-picked orders subjected to the interception processing and the storage conditions of a preset storage area; and picking and delivering the articles out of the warehouse according to the picking processing information.
In one exemplary embodiment of the present disclosure, determining a production flow for an order to be placed based on a product quantity and a category of an item in the order to be placed includes: if the number of the articles of the same class is determined to be greater than or equal to the first preset number, dividing the articles into first-class picking orders; determining to pick items of the first type of pick order to a first pick container; rechecking an item of the first picking container; and sub-sowing is carried out according to the picking quantity of the first type of picking orders.
In an exemplary embodiment of the present disclosure, determining the production flow of the order to be placed further includes: if the number of the articles of the plurality of article classes is determined to be greater than or equal to a second preset number, dividing the articles into a second class of picking orders; determining to pick items of the second type of pick order to a second pick container; and rechecking and distributing each article of the second picking container.
In an exemplary embodiment of the present disclosure, determining the production flow of the order to be placed further includes: determining a number of items as a specified number and the plurality of orders for which the to-be-placed order includes the same specified item as a third type of pick order; determining to pick items of the third type of pick order to a third pick container; asynchronously picking and dispensing items of the third picking container; alternate reviews of the designated item and other items of the third picking container are performed.
In an exemplary embodiment of the present disclosure, determining the production flow of the order to be placed further includes: if the number of the articles to be placed in the warehouse is determined to be larger than or equal to the fourth preset number, and the number of the articles to be placed in the warehouse is determined to be larger than or equal to the fifth preset number, dividing the articles into fourth sorting orders; determining to pick items of the fourth type of pick order to a fourth pick container, and performing a sub-shipment during the picking to the fourth pick container; and rechecking the articles of the fourth picking container according to the order to be taken out.
In an exemplary embodiment of the present disclosure, the scheduling method for order delivery further includes: determining the quantity and class of the orders to be placed in the designated time range; if the number of the orders to be placed is smaller than or equal to a sixth preset number, dividing the storage position of the article into a first area and a second area or into a first area; if the number of the orders to be placed is greater than the sixth preset number and the number of the items is greater than or equal to the seventh preset number, dividing the storage position of the article into a first area, a second area and one or more third areas; if the number of the to-be-delivered orders is greater than the sixth preset number, and the number of the items is less than the seventh preset number, dividing the storage positions of the articles into a first area, a plurality of second areas and one or more third areas, wherein the articles stored in the second areas are used for supplementing the first area and the third areas, and the delivery amount of the articles in the third areas is greater than the delivery amount of the articles in the first area.
In one exemplary embodiment of the present disclosure, determining picking process information of the item according to a production flow of a to-be-placed order of a intercept process and a storage condition of a preset storage area includes: and if the stock quantity of the second area is determined to be greater than or equal to the quantity of the to-be-picked orders, and the quantity of the to-be-picked orders is determined to be greater than or equal to an eighth preset quantity, the objects in the second area are picked according to the production flow of the first-class picking orders.
In an exemplary embodiment of the present disclosure, determining picking process information of the item according to a production flow of a to-be-picked order of the intercept process and a storage condition of a preset storage area further includes: and if the stock quantity of the second area is smaller than the quantity of the to-be-picked orders, all the articles in the second area are picked according to the production flow of the first-class picking orders.
In an exemplary embodiment of the present disclosure, determining picking process information of the item according to a production flow of a to-be-picked order of the intercept process and a storage condition of a preset storage area further includes: when a second type of pick order is placed in the warehouse, the pick priority of the items in the second area is higher than the pick priority of the items in the first area.
In an exemplary embodiment of the present disclosure, the scheduling method for order delivery further includes: and replenishing the third area according to the sales quantity of the articles to be subjected to the warehouse-out order.
According to a second aspect of the embodiments of the present disclosure, there is provided a scheduling apparatus for order delivery, including: the determining module is used for determining the production flow of the order to be placed according to the quantity and the category of the articles in the order to be placed, wherein the production flow comprises at least one of picking, rechecking and sub-sowing; the processing module is used for carrying out stop processing on the order to be delivered according to the order quantity of the order to be delivered; the determining module is further used for determining picking processing information of the articles according to the production flow of the to-be-picked orders subjected to the stopping processing and the storage conditions of the preset storage areas; and the ex-warehouse module is used for picking and ex-warehouse the articles according to the picking processing information.
According to a third aspect of the present disclosure, there is provided an electronic device comprising: a memory; and a processor coupled to the memory, the processor configured to perform the method of any of the above based on instructions stored in the memory.
According to a fourth aspect of the present disclosure, there is provided a computer-readable storage medium having stored thereon a program which, when executed by a processor, implements a scheduling method of order delivery as set forth in any one of the above.
According to the method and the device for processing the order, the production flow of the order to be processed is determined according to the quantity and the class of the articles in the order to be processed, so that the processing mode of the order to be processed is optimized, the processing efficiency of the order to be processed is improved, particularly, the processing of interception is carried out on the order to be processed according to the quantity of the order to be processed, the sorting processing information of the articles is determined according to the production flow of the order to be processed and the storage condition of the preset storage area, the response rate of the order in a bin is improved, the backlog quantity and the data processing pressure of the order are reduced, the production capacity of the order in the bin is improved, and the production cost is reduced.
Further, the storage areas are divided into three types of areas, and various articles to be delivered in the order form are dispatched and delivered according to the generation flow and the storage conditions, so that the article type of article transferring operation between the storage areas is reduced, and the picking path and the production time are shortened.
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 accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the disclosure and together with the description, serve to explain the principles of the disclosure. It will be apparent to those of ordinary skill in the art that the drawings in the following description are merely examples of the disclosure and that other drawings may be derived from them without undue effort.
FIG. 1 illustrates a flow chart of a scheduling method for order out of stock in an exemplary embodiment of the present disclosure;
FIG. 2 illustrates a flow chart of a scheduling method for order out of a warehouse in another exemplary embodiment of the present disclosure;
FIG. 3 illustrates a flow chart of a scheduling method for order out of stock in another exemplary embodiment of the present disclosure;
FIG. 4 illustrates a flow chart of a scheduling method for order out of stock in another exemplary embodiment of the present disclosure;
FIG. 5 illustrates a flow chart of a scheduling method for order out of stock in another exemplary embodiment of the present disclosure;
FIG. 6 illustrates a flow chart of a scheduling method for order out of stock in another exemplary embodiment of the present disclosure;
FIG. 7 illustrates a flow chart of a scheduling method for order out of stock in another exemplary embodiment of the present disclosure;
FIG. 8 illustrates a flow chart of a scheduling method for order out of stock in another exemplary embodiment of the present disclosure;
FIG. 9 illustrates a flow chart of a scheduling method for order out of stock in another exemplary embodiment of the present disclosure;
FIG. 10 illustrates a flow chart of a scheduling method for order out of stock in another exemplary embodiment of the present disclosure;
FIG. 11 illustrates a schematic diagram of a production flow of a scheduling method for order out of stock in an exemplary embodiment of the present disclosure;
FIG. 12 illustrates a schematic diagram of a production flow of a scheduling method for order out of stock in another exemplary embodiment of the present disclosure;
FIG. 13 illustrates a schematic diagram of a production flow of a scheduling method for order out of stock in another exemplary embodiment of the present disclosure;
FIG. 14 illustrates a schematic diagram of a production flow of a scheduling method for order out of stock in another exemplary embodiment of the present disclosure;
FIG. 15 illustrates a schematic diagram of a production flow of a scheduling method for order out of stock in another exemplary embodiment of the present disclosure;
FIG. 16 illustrates a schematic diagram of a production flow of a scheduling method for order out of stock in another exemplary embodiment of the present disclosure;
FIG. 17 illustrates a schematic diagram of a production flow of a scheduling method for order out of stock in another exemplary embodiment of the present disclosure;
FIG. 18 illustrates a block diagram of a scheduling apparatus for order out of stock in an exemplary embodiment of the present disclosure;
fig. 19 shows a block diagram of an electronic device in an exemplary embodiment of the present disclosure.
Detailed Description
Example embodiments will now be described more fully with reference to the accompanying drawings. However, the exemplary embodiments may be embodied in many forms and should not be construed as limited to the examples set forth herein; rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the concept of the example embodiments to those skilled in the art. 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 present disclosure. One skilled in the relevant art will recognize, however, that the aspects of the disclosure may be practiced without one or more of the specific details, or with other methods, components, devices, steps, etc. In other instances, well-known technical solutions have not been shown or described in detail to avoid obscuring aspects of the present disclosure.
Furthermore, the drawings are only schematic illustrations of the present disclosure, in which the same reference numerals denote the same or similar parts, and thus a repetitive description thereof will be omitted. Some of the block diagrams shown in the figures are functional entities and do not necessarily correspond to physically or logically separate entities. These functional entities may be implemented in software or in one or more hardware modules or integrated circuits or in different networks and/or processor devices and/or microcontroller devices.
The following describes example embodiments of the present disclosure in detail with reference to the accompanying drawings.
FIG. 1 is a flow chart of a scheduling method for order out of a warehouse in an exemplary embodiment of the present disclosure.
Referring to fig. 1, the scheduling method for order delivery may include:
step S102, determining a production flow of the order to be placed according to the quantity and the category of the articles in the order to be placed, wherein the production flow comprises at least one of picking, rechecking and distributing.
And step S104, carrying out stop processing on the order to be placed according to the order quantity of the order to be placed.
Step S106, the picking processing information of the articles is determined according to the production flow of the to-be-picked orders subjected to the stopping processing and the storage conditions of the preset storage areas.
And S108, picking and warehousing the articles according to the picking processing information.
According to the method and the device for processing the order, the production flow of the order to be processed is determined according to the quantity and the class of the articles in the order to be processed, so that the processing mode of the order to be processed is optimized, the processing efficiency of the order to be processed is improved, particularly, the processing of interception is carried out on the order to be processed according to the quantity of the order to be processed, the sorting processing information of the articles is determined according to the production flow of the order to be processed and the storage condition of the preset storage area, the response rate of the order in a bin is improved, the backlog quantity and the data processing pressure of the order are reduced, the production capacity of the order in the bin is improved, and the production cost is reduced.
The steps of the order-out scheduling method will be described in detail with reference to fig. 2 to 10.
As shown in fig. 2, according to the product quantity and the product category of the articles in the order to be placed, the production process of determining the order to be placed includes:
step S202, if the number of the articles in the same class is larger than or equal to the first preset number, the articles are classified into the first-class picking orders.
Step S204, determining to pick items of the first type of pick order to a first pick container.
Step S206, rechecking one item of the first picking container.
Step S208, sub-sowing is carried out according to the picking quantity of the first-class picking orders.
In an exemplary embodiment of the present disclosure, if it is determined that the number of items of the same category is greater than or equal to a first preset number, the items are divided into first-category picking orders, the first-category picking orders are picked without sub-sowing by forming second-killing picking orders when the number of single-item orders ordering items of the same SKU (Stock Keeping Unit, stock quantity unit) reaches the first preset number, and in the re-checking process, only one item is re-checked for the first-category picking orders, so that the re-checking efficiency is improved, the sub-sowing operation is performed according to the actual picking number, and the ex-warehouse efficiency of the second-killing orders is improved in terms of a production process.
As shown in fig. 3, the determining a production flow of an order to be placed according to the product quantity and the product category of the object in the order to be placed further includes:
step S302, if the number of the articles of the plurality of items is determined to be greater than or equal to the second preset number, the articles are divided into the second sort orders.
Step S304, determining to pick the item of the second type of pick order to a second pick container.
Step S306, rechecking and distributing each item of the second picking container.
In an exemplary embodiment of the present disclosure, if it is determined that the number of the items of the plurality of items is greater than or equal to the second preset number, the items are divided into a second type of picking orders, that is, the plurality of items of which the ordered number exceeds a certain value are individually formed into a single picking order, that is, one order is one picking order, and are picked to a second picking container, the second type of picking order is picked without sub-sowing, and each item of the second type of picking order is checked, so that the delivery efficiency is improved and meanwhile, the reliability of checking is ensured.
As shown in fig. 4, the determining a production flow of an order to be placed according to the product quantity and the product category of the object in the order to be placed further includes:
in step S402, a number of items is determined as a designated number and a plurality of orders for which the to-be-placed order includes the same designated item are determined to be a third type of pick order.
Step S404, determining to pick items of the third type of pick order to a third pick container.
Step S406, asynchronously picking and sorting items of the third picking container.
Step S408, alternately rechecking the designated item and other items of the third picking container.
In an exemplary embodiment of the present disclosure, if the designated number is 2, an associated picking order is formed when the number of order sets, of which the number is two and each order includes the same designated SKU, reaches a certain value, and the items of the third picking container are asynchronously picked and separated to improve the efficiency of the generating process.
As shown in fig. 5, the determining a production flow of an order to be placed according to the product quantity and the product category of the object in the order to be placed further includes:
step S502, if it is determined that the number of the items to be placed in the order is greater than or equal to the fourth preset number, and the number of the items to be placed in the order is greater than or equal to the fifth preset number, dividing the items into fourth sort order.
Step S504, determining to pick the items of the fourth type of picking order to a fourth picking container, and distributing in the process of picking to the fourth picking container.
And step S506, checking the items of the fourth picking container according to the to-be-picked order.
In one exemplary embodiment of the present disclosure, multiple-item pick orders are formed for multiple-item orders that have no single pick order and no associated pick order, with the order number being greater than or equal to two, and the items being picked are sorted upon picking and inspected during review according to the order.
As shown in fig. 6, the scheduling method for order delivery further includes:
step S602, determining the quantity and class of the to-be-placed orders in the specified time range.
In step S604, if the number of the to-be-placed orders is less than or equal to the sixth preset number, the storage location of the item is divided into a first area and a second area, or into a first area.
In step S606, if the number of the to-be-placed orders is greater than the sixth preset number and the number of the items is greater than or equal to the seventh preset number, the storage location of the item is divided into a first area, a second area, and one or more third areas.
Step S608, if the number of the to-be-delivered orders is greater than the sixth preset number and the number of the items is less than the seventh preset number, dividing the storage position of the article into a first area, a plurality of second areas, and one or more third areas, where the articles stored in the second areas are used for replenishing the first area and the third area, and the delivery amount of the articles in the third areas is greater than the delivery amount of the articles in the first area.
In an exemplary embodiment of the disclosure, the second area is a holding area, the first area is a sorting area, the third area is a free sales area, the free sales area is an empty warehouse area before marketing activities, when the order volume reaches a certain level, N SKUs (N is the goods position of the free sales area) with the largest corresponding order volume and the largest order volume in the order volume of the cut order collection are counted to form staged free sales objects, and according to the sales volume of the free sales objects, replenishment is performed from the holding area to the free sales area, thereby forming a free sales sorting warehouse area. According to the production flow of a warehouse, the order statistical range with the largest sales volume is defined as an order set of multiple orders and the condition that the order set of single picking orders is not achieved, and the storage can be carried out specifically according to the following modes:
the order quantity is less: a picking zone, a storage zone or a management mode of the picking zone is adopted.
The order quantity is larger, and the SKU number is more: a management mode of a management area, a sorting area and one or more open sales areas is adopted.
The order quantity is larger, and the SKU number is smaller: a management mode of one conservation area, a plurality of sorting areas and one or more open sales areas is adopted.
As shown in fig. 7, determining picking process information of the item according to a production flow of a to-be-picked order of the intercept process and a storage condition of a preset storage area includes:
Step S702, if it is determined that the inventory amount of the second area is greater than or equal to the number of the to-be-sorted orders, and the number of the to-be-sorted orders is greater than or equal to the eighth preset number, sorting the articles in the second area according to the production flow of the first sort of sorting orders.
As shown in fig. 8, determining picking process information of the item according to a production flow of the order to be placed in the warehouse and a storage condition of a preset storage area in the stop process further includes:
step S802, if it is determined that the inventory amount of the second area is smaller than the number of the to-be-sorted orders, sorting all the articles in the second area according to the production flow of the first sort of sorting orders.
As shown in fig. 9, determining picking process information of the item according to a production flow of the order to be placed in the warehouse and a storage condition of a preset storage area in the stop process further includes:
step S902, when a second type of picking order is sent out, the picking priority of the articles in the second area is higher than the picking priority of the articles in the first area.
As shown in fig. 10, the scheduling method for order delivery further includes:
and step S1002, restocking is carried out on the third area according to the sales of the articles to be subjected to the warehouse-out order.
In one exemplary embodiment of the present disclosure, to reduce the manual operations from the holding area to the picking area, individual orders are preferentially picked from the holding area in a second biocidal manner.
In one exemplary embodiment of the present disclosure, a pick-per-second order for the holding area is generated when the holding area inventory is greater than or equal to the order quantity and the order quantity is greater than or equal to the pick order minimum group singular, enabling pick for the holding area.
In one exemplary embodiment of the present disclosure, when the custody inventory number is less than or equal to the order number, a second kill order for the custody is generated or forced to be generated, effecting the custody picking and emptying the custody inventory for the custody, and for the purpose of increasing the picking speed, the custody picking employs a pick strategy that empties and minimises the inventory.
In an exemplary embodiment of the present disclosure, since the storage employs a one-item multi-level management strategy, the area of the storage area is much larger than the area of the picking area, and under the same conditions, the picking route naturally becomes longer than the picking area, based on which the order of the single item in the second-kill picking mode of the storage area is only allowed to be picked in the picking area.
In one exemplary embodiment of the present disclosure, in view of the uncertainty in the number of picks of items in the associated pick order, to maximize inventory consumed by the holding area, the holding area is preferentially picked when the number of picks of items is greater than or equal to the number of inventory in the holding area, and if there is a remaining number, the remaining number is picked in the pick area.
In one exemplary embodiment of the present disclosure, picking is performed at the holding area if the pick number of items is less than the holding area inventory and the pick number is greater than or equal to the minimum set of single parameters for the second kill pick order and picking is performed at the picking area if the pick number is less than the minimum set of single parameters for the second kill pick order.
In an exemplary embodiment of the present disclosure, the clear sales area is for centralized picking, so the area of the clear sales area is small, the picking path is short, and the clear sales area replenishment principle is to replenish the order quantity of the articles corresponding to the clear sales area, so the order corresponding to the clear sales area is preferentially picked in the corresponding clear sales area.
In one exemplary embodiment of the present disclosure, the multiple picking zones are permanent scattered picks, requiring designated picking zones for picking for multiple orders outside of the corresponding orders of the open sales zone.
In one exemplary embodiment of the present disclosure, the order volume that meets the order-for-pick-order ordering condition is less and the production priority is lower, so orders that meet the order-for-pick-order ordering condition are only allowed to be picked in the pick zone.
In one exemplary embodiment of the present disclosure, the efficiency of second kill pick orders is much higher for single pick orders than for single pick orders; for multi-product orders, the related picking orders with the maximized order quantity of two orders are formed, the seeding operation before rechecking is omitted, the picking efficiency and rechecking efficiency can be improved, and no special requirement is required for a picker. Therefore, when the order is produced, the order of the single product is produced in a second killing generation mode as much as possible, and the order of two orders is produced by adopting the associated production flow.
In an exemplary embodiment of the disclosure, data analysis is performed according to different features of an order and a warehouse production flow before the order enters a WMS system, and the order of which features is determined to be scheduled to the WMS for production according to the analysis result, so that daily productivity of the warehouse is maximally improved, the goal of order production is achieved within a specified time, production cost is reduced, and risk of overall operation is reduced.
When the orders to be taken out of the warehouse with different characteristics are subjected to cut analysis, the WMS system can automatically judge the optimal picking warehouse area according to the embodiment of the disclosure according to the factors such as the inventory of different warehouse areas, the order quantity required to be allocated by tasks, the order attribute and the like.
As shown in fig. 11, the storage area may be divided as follows:
(1) The order quantity is less: either a pick zone 1102, a holding zone 1104, or a pick zone 1102 management is used.
(2) The order quantity is larger, and the SKU number is more: management of a holding area 1104, a picking area 1102, and one or more clear-of-sales areas 1106 is employed.
(3) The order quantity is larger, and the SKU number is smaller: management of one custody area 1104, multiple sorting areas 1102, and one or more sales promotion areas 1106 is employed.
As shown in fig. 12, the first type of information 1202 for a pick order includes order 1, order 2, order 3, order 4, order 5, and order 6, each order has SKU a and a stock out number of 1, and the summarized production object includes: SKU is a, commodity number is 6, order number is 6.
Corresponding to the method embodiment, the disclosure further provides a scheduling device for order delivery, which can be used for executing the method embodiment.
As shown in fig. 13, a production flow 1302 of a first type of pick order includes: items with SKU a at storage location 001 were picked 10 times and placed in a picking container.
As shown in fig. 14, the production flow 1402 for the second type of pick order includes:
items with SKU a for bin 001 were picked 10.
Items with SKU B of bin 002 were picked 10.
Items with SKU C for bin 003 were picked 5.
Items with SKU D of storage 004 are picked 10.
Items of SKU corresponding to A, B, C and D are picked to one picking container.
As shown in fig. 15, information 1502 for a third type of pick order includes: order 1 includes an item with a SKU of a and an item with a SKU of B; order 2 includes an item with a SKU of a and an item with a SKU of C; order 3 includes an item with a SKU of a and an item with a SKU of D; order 4 includes an item with a SKU of a and an item with a SKU of E; order 5 includes an item with a SKU of a and an item with a SKU of F; order 6 includes one item with SKU a and one item with SKU G.
The main product is an article corresponding to A, and the auxiliary products are articles corresponding to B, C, D, E, F and G.
As shown in fig. 16, the production flow 1602 for the fourth type of pick order includes:
items with SKU a for bin 001 were picked 10.
Items with SKU B of bin 002 were picked 10.
Items with SKU C for bin 003 were picked 5.
Items with SKU F for bin 020 were picked 10.
And (3) the objects corresponding to A, B, C and F are selected in a separated mode into containers corresponding to each order, and the objects are checked according to the orders.
As shown in fig. 17, the matching rule for the storage location 1702 of the second area includes:
for items of SKU a, the stock levels are 001, 002, 003 and 004 for numbers 100, 80, 40 and 100, respectively, with the minimum group singular number of the order for second kill set to 10 and the maximum group singular number to 100.
If the number of items for the second kill order is greater than or equal to 100, then picking is performed from the limit on the storage location to the storage location 001.
If the number of items for a second kill order is greater than 10 and less than 100, then the second kill is forced, for example, to locate bin 003 for picking if the number is 40 and to locate bin 002 for picking if the number is 80.
If the number of items for killing orders in seconds is smaller than 10, forced killing in seconds is carried out, and if the number of items for killing orders in seconds is smaller than the minimum storage position number of the storage area, the items are positioned to the picking area for picking.
Fig. 18 is a block diagram of a scheduling apparatus for order delivery in an exemplary embodiment of the present disclosure.
Referring to fig. 18, a scheduling apparatus 1800 for order delivery may include:
the determining module 1802 is configured to determine a production flow of the order to be placed according to the number and the category of the items in the order to be placed, where the production flow includes at least one of picking, rechecking, and distributing.
And the processing module 1804 is used for performing stop processing on the order to be placed according to the order quantity of the order to be placed.
The determining module 1802 is further configured to determine picking processing information of the item according to a production flow of the to-be-warehouse order and a storage condition of a preset storage area.
And the ex-warehouse module 1806 is used for picking and ex-warehouse the articles according to the picking processing information.
In an exemplary embodiment of the present disclosure, the determining module 1802 is further configured to: if the number of the articles of the same class is determined to be greater than or equal to the first preset number, dividing the articles into first-class picking orders; determining to pick items of the first type of pick order to a first pick container; rechecking an item of the first picking container; and sub-sowing is carried out according to the picking quantity of the first type of picking orders.
In an exemplary embodiment of the present disclosure, the determining module 1802 is further configured to: if the number of the articles of the plurality of article classes is determined to be greater than or equal to a second preset number, dividing the articles into a second class of picking orders; determining to pick items of the second type of pick order to a second pick container; and rechecking and distributing each article of the second picking container.
In an exemplary embodiment of the present disclosure, the determining module 1802 is further configured to: determining a number of items as a specified number and the plurality of orders for which the to-be-placed order includes the same specified item as a third type of pick order; determining to pick items of the third type of pick order to a third pick container; asynchronously picking and dispensing items of the third picking container; alternate reviews of the designated item and other items of the third picking container are performed.
In an exemplary embodiment of the present disclosure, the determining module 1802 is further configured to: if the number of the articles to be placed in the warehouse is determined to be larger than or equal to the fourth preset number, and the number of the articles to be placed in the warehouse is determined to be larger than or equal to the fifth preset number, dividing the articles into fourth sorting orders; determining to pick items of the fourth type of pick order to a fourth pick container, and performing a sub-shipment during the picking to the fourth pick container; and rechecking the articles of the fourth picking container according to the order to be taken out.
In an exemplary embodiment of the present disclosure, the determining module 1802 is further configured to: determining the quantity and class of the orders to be placed in the designated time range; if the number of the orders to be placed is smaller than or equal to a sixth preset number, dividing the storage position of the article into a first area and a second area or into a first area; if the number of the orders to be placed is greater than the sixth preset number and the number of the items is greater than or equal to the seventh preset number, dividing the storage position of the article into a first area, a second area and one or more third areas; if the number of the to-be-delivered orders is greater than the sixth preset number, and the number of the items is less than the seventh preset number, dividing the storage positions of the articles into a first area, a plurality of second areas and one or more third areas, wherein the articles stored in the second areas are used for supplementing the first area and the third areas, and the delivery amount of the articles in the third areas is greater than the delivery amount of the articles in the first area.
In an exemplary embodiment of the present disclosure, the determining module 1802 is further configured to: and if the stock quantity of the second area is determined to be greater than or equal to the quantity of the to-be-picked orders, and the quantity of the to-be-picked orders is determined to be greater than or equal to an eighth preset quantity, the objects in the second area are picked according to the production flow of the first-class picking orders.
In an exemplary embodiment of the present disclosure, the ex-warehouse module 1806 is further configured to: and if the stock quantity of the second area is smaller than the quantity of the to-be-picked orders, all the articles in the second area are picked according to the production flow of the first-class picking orders.
In an exemplary embodiment of the present disclosure, the ex-warehouse module 1806 is further configured to: when a second type of pick order is placed in the warehouse, the pick priority of the items in the second area is higher than the pick priority of the items in the first area.
In an exemplary embodiment of the present disclosure, the ex-warehouse module 1806 is further configured to: and replenishing the third area according to the sales quantity of the articles to be subjected to the warehouse-out order.
Since each function of the apparatus 1800 is described in detail in its corresponding method embodiment, the disclosure is not repeated here.
It should be noted that although in the above detailed description several modules or units of a device for action execution are mentioned, such a division is not mandatory. Indeed, the features and functionality of two or more modules or units described above may be embodied in one module or unit in accordance with embodiments of the present disclosure. Conversely, the features and functions of one module or unit described above may be further divided into a plurality of modules or units to be embodied.
In an exemplary embodiment of the present disclosure, an electronic device capable of implementing the above method is also provided.
Those skilled in the art will appreciate that the various aspects of the invention may be implemented as a system, method, or program product. Accordingly, aspects of the invention may be embodied in the following forms, namely: an entirely hardware embodiment, an entirely software embodiment (including firmware, micro-code, etc.) or an embodiment combining hardware and software aspects may be referred to herein as a "circuit," module "or" system.
An electronic device 1900 according to this embodiment of the invention is described below with reference to fig. 19. The electronic device 1900 shown in fig. 19 is merely an example, and should not be construed as limiting the functionality and scope of use of the embodiments of the present invention.
As shown in FIG. 19, the electronic device 1900 may be in the form of a general purpose computing device. Components of electronic device 1900 may include, but are not limited to: the at least one processing unit 1910, the at least one memory unit 1920, and a bus 1930 connecting the various system components, including the memory unit 1920 and the processing unit 1910.
Wherein the storage unit stores program code that is executable by the processing unit 1910 such that the processing unit 1910 performs the steps according to various exemplary embodiments of the present invention described in the above-mentioned "exemplary methods" section of the present specification. For example, the processing unit 1910 may perform the methods as shown in the embodiments of the present disclosure.
The storage unit 1920 may include readable media in the form of volatile storage units, such as Random Access Memory (RAM) 19201 and/or cache memory 19202, and may further include Read Only Memory (ROM) 19203.
The storage unit 1920 may also include a program/utility 19204 having a set (at least one) of program modules 19205, such program modules 19205 including, but not limited to: an operating system, one or more application programs, other program modules, and program data, each or some combination of which may include an implementation of a network environment.
Bus 1930 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.
Electronic device 1900 may also communicate with one or more external devices 1940 (e.g., keyboard, pointing device, bluetooth device, etc.), one or more devices that enable a user to interact with electronic device 1900, and/or any devices (e.g., routers, modems, etc.) that enable electronic device 1900 to communicate with one or more other computing devices. Such communication may occur through an input/output (I/O) interface 1950. Also, electronic device 1900 can communicate with one or more networks such as a Local Area Network (LAN), a Wide Area Network (WAN), and/or a public network, such as the Internet, through network adapter 1960. As shown, network adapter 1960 communicates with other modules of electronic device 1900 via bus 1930. It should be appreciated that although not shown, other hardware and/or software modules may be used in connection with electronic device 1900, including, but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, data backup storage systems, and the like.
From the above description of embodiments, those skilled in the art will readily appreciate that the example embodiments described herein may be implemented in software, or may be implemented in software in combination with the necessary hardware. Thus, 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 (may be a CD-ROM, a U-disk, a mobile hard disk, etc.) or on a network, including several instructions to cause a computing device (may be a personal computer, a server, a terminal device, or a network device, etc.) to perform the method according to the embodiments of the present disclosure.
In an exemplary embodiment of the present disclosure, a computer-readable storage medium having stored thereon a program product capable of implementing the method described above in the present specification is also provided. In some possible embodiments, the various aspects of the invention may also be implemented in the form of a program product comprising program code for causing a terminal device to carry out the steps according to the various exemplary embodiments of the invention as described in the "exemplary methods" section of this specification, when said program product is run on the terminal device.
The program product for implementing the above-described method according to an embodiment of the present invention 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 invention 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. The readable storage medium can be, for example, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or a combination of any of the foregoing. More specific examples (a non-exhaustive list) of the readable storage medium would include the following: an electrical connection having one or more wires, a portable disk, a hard disk, random Access Memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
The computer readable signal medium may include a data signal propagated in baseband or as part of a carrier wave with readable program code embodied therein. Such a propagated data signal may take any of a variety of forms, including, but not limited to, electro-magnetic, optical, or any suitable combination of the foregoing. A readable signal 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 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 of the present invention 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, partly on a remote computing device, or entirely on the remote computing device or server. In the case of remote computing devices, 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., connected via the Internet using an Internet service provider).
Furthermore, the above-described drawings are only schematic illustrations of processes included in the method according to the exemplary embodiment of the present application, and are not intended to be limiting. It will be readily appreciated that the processes shown in the above figures do not indicate or limit the temporal order of these processes. In addition, it is also readily understood that these processes may be performed synchronously or asynchronously, for example, among a plurality of modules.
Other embodiments of the disclosure will be apparent to those skilled in the art from consideration of the specification and practice of the disclosure disclosed herein. This application is intended to cover any adaptations, uses, or adaptations of the disclosure following, in general, the principles of the disclosure and including such departures from the present disclosure as come within known or customary practice within the art to which the disclosure pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the disclosure being indicated by the following claims.

Claims (13)

1. A method for scheduling order delivery, comprising:
determining a production flow of an order to be placed according to the quantity and the category of the articles in the order to be placed, wherein the production flow comprises at least one of picking, rechecking and sub-sowing;
intercepting the order to be placed according to the order quantity of the order to be placed;
Determining picking processing information of the articles according to the production flow of the to-be-picked orders subjected to the interception processing and the storage conditions of a preset storage area;
and picking and delivering the articles out of the warehouse according to the picking processing information.
2. The method for scheduling an order to be placed according to claim 1, wherein determining a production flow of the order to be placed according to the product quantity and the category of the items in the order to be placed comprises:
if the number of the articles of the same class is determined to be greater than or equal to the first preset number, dividing the articles into first-class picking orders;
determining to pick items of the first type of pick order to a first pick container;
rechecking an item of the first picking container;
and sub-sowing is carried out according to the picking quantity of the first type of picking orders.
3. The method for scheduling an order to be placed according to claim 1, wherein determining a production flow of the order to be placed according to the product quantity and the category of the items in the order to be placed further comprises:
if the number of the articles of the plurality of article classes is determined to be greater than or equal to a second preset number, dividing the articles into a second class of picking orders;
determining to pick items of the second type of pick order to a second pick container;
And rechecking and distributing each article of the second picking container.
4. The method for scheduling an order to be placed according to claim 1, wherein determining a production flow of the order to be placed according to the product quantity and the category of the items in the order to be placed further comprises:
determining a number of items as a specified number and the plurality of orders for which the to-be-placed order includes the same specified item as a third type of pick order;
determining to pick items of the third type of pick order to a third pick container;
asynchronously picking and dispensing items of the third picking container;
alternate reviews of the designated item and other items of the third picking container are performed.
5. The method for scheduling an order to be placed according to claim 1, wherein determining a production flow of the order to be placed according to the product quantity and the category of the items in the order to be placed further comprises:
if the number of the articles to be placed in the warehouse is determined to be larger than or equal to the fourth preset number, and the number of the articles to be placed in the warehouse is determined to be larger than or equal to the fifth preset number, dividing the articles into fourth sorting orders;
determining to pick items of the fourth type of pick order to a fourth pick container, and performing a sub-shipment during the picking to the fourth pick container;
And rechecking the articles of the fourth picking container according to the order to be taken out.
6. The method for scheduling an order shipment as set forth in any one of claims 1-5, further comprising:
determining the quantity and class of the orders to be placed in the designated time range;
if the number of the orders to be placed is smaller than or equal to a sixth preset number, dividing the storage position of the article into a first area and a second area or into a first area;
if the number of the orders to be placed is greater than the sixth preset number and the number of the items is greater than or equal to the seventh preset number, dividing the storage position of the article into a first area, a second area and one or more third areas;
if the number of the orders to be placed is larger than the sixth preset number and the number of the categories is smaller than the seventh preset number, dividing the storage position of the article into a first area, a plurality of second areas and one or a plurality of third areas,
the articles stored in the second area are used for replenishing the first area and the third area, and the delivery amount of the articles in the third area is larger than that in the first area.
7. The order-out scheduling method according to claim 6, wherein determining picking process information of the item according to a production flow of an order to be placed out of the stop process and a storage condition of a preset storage area comprises:
and if the stock quantity of the second area is determined to be greater than or equal to the quantity of the to-be-picked orders, and the quantity of the to-be-picked orders is determined to be greater than or equal to an eighth preset quantity, the objects in the second area are picked according to the production flow of the first-class picking orders.
8. The order-out scheduling method according to claim 6, wherein determining picking process information of the item according to a production flow of an order to be placed out of the stop process and a storage condition of a preset storage area further comprises:
and if the stock quantity of the second area is smaller than the quantity of the to-be-picked orders, all the articles in the second area are picked according to the production flow of the first-class picking orders.
9. The order-out scheduling method according to claim 6, wherein determining picking process information of the item according to a production flow of an order to be placed out of the stop process and a storage condition of a preset storage area further comprises:
When a second type of pick order is placed in the warehouse, the pick priority of the items in the second area is higher than the pick priority of the items in the first area.
10. The method for scheduling an order shipment as set forth in claim 6, further comprising:
and replenishing the third area according to the sales quantity of the articles to be subjected to the warehouse-out order.
11. A scheduling apparatus for order delivery, comprising:
the determining module is used for determining the production flow of the order to be placed according to the quantity and the category of the articles in the order to be placed, wherein the production flow comprises at least one of picking, rechecking and sub-sowing;
the processing module is used for carrying out stop processing on the order to be delivered according to the order quantity of the order to be delivered;
the determining module is further used for determining picking processing information of the articles according to the production flow of the to-be-picked orders subjected to the stopping processing and the storage conditions of the preset storage areas;
and the ex-warehouse module is used for picking and ex-warehouse the articles according to the picking processing information.
12. An electronic device, comprising:
a memory; and
a processor coupled to the memory, the processor configured to perform the order-out scheduling method of any of claims 1-10 based on instructions stored in the memory.
13. A computer readable storage medium having stored thereon a program which when executed by a processor implements a scheduling method of order delivery as claimed in any one of claims 1 to 10.
CN202210380805.8A 2022-04-08 2022-04-08 Scheduling method and device for order delivery, electronic equipment and readable medium Pending CN116934215A (en)

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