CN113052536A - Order processing method, device and system - Google Patents

Order processing method, device and system Download PDF

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Publication number
CN113052536A
CN113052536A CN202110366139.8A CN202110366139A CN113052536A CN 113052536 A CN113052536 A CN 113052536A CN 202110366139 A CN202110366139 A CN 202110366139A CN 113052536 A CN113052536 A CN 113052536A
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order
information
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杨文祥
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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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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/08—Logistics, e.g. warehousing, loading or distribution; Inventory or stock management
    • G06Q10/087—Inventory or stock management, e.g. order filling, procurement or balancing against orders
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/08—Logistics, e.g. warehousing, loading or distribution; Inventory or stock management
    • G06Q10/083—Shipping
    • G06Q10/0838—Historical data
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00—Commerce
    • G06Q30/06—Buying, selling or leasing transactions
    • G06Q30/0601—Electronic shopping [e-shopping]
    • G06Q30/0633—Lists, e.g. purchase orders, compilation or processing
    • G06Q30/0635—Processing of requisition or of purchase orders

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Abstract

The embodiment of the application provides an order processing method, a device and a system, which comprise the following steps: acquiring a current collection list, acquiring a positioning area of the articles in the historical orders in a preset sorting area, wherein the current collection list comprises a plurality of current orders, the historical orders are orders which are located to the location area and are not picked, the item storage information of the location area is determined, determining a current order positioned to a positioning area from a current collection list according to the article storage information and the historical orders, wherein, the items in the current order positioned to the positioning area are all stored in the positioning area, the historical order and the current order positioned to the positioning area are picked, can sort the articles meeting more orders from the positioning area as much as possible, can improve the convenience and effectiveness of the sorting treatment, thereby realizing the improvement of the efficiency of the order treatment, and then realized improving the efficiency that article were out of stock, satisfied user's logistics experience's technological effect.

Description

Order processing method, device and system
Technical Field
The embodiment of the application relates to the field of warehouse logistics and the field of electronic commerce, in particular to an order processing method, device and system.
Background
With the rapid development of electronic commerce, higher requirements are placed on the speed of warehouse logistics, and how to improve the speed of warehouse logistics, that is, how to improve the logistics aging, becomes a problem to be solved urgently.
In the prior art, the method generally adopted is as follows: the method comprises the steps of obtaining orders in a preset time period, combining the orders into a plurality of collection sheets (the collection sheets comprise a plurality of orders) according to time information of the orders, and sequentially positioning storage areas of the orders in each collection sheet to obtain positioning information so as to sort the items in the orders based on the positioning information.
In the process of implementing the present application, the inventor finds that the prior art has at least the following problems: in a sequential positioning and picking mode, picking can be performed back and forth between storage areas, so that the picking efficiency is low, and further the order processing efficiency and even the speed of warehouse logistics are low.
Disclosure of Invention
The embodiment of the application provides an order processing method, an order processing device and an order processing system, which are used for solving the problem of low order processing efficiency.
In a first aspect, an embodiment of the present application provides an order processing method, including:
acquiring a current collection list and acquiring a positioning area of an item in a historical order in a preset picking area, wherein the current collection list comprises a plurality of current orders, and the historical order is an order which is positioned to the positioning area and is not picked;
determining article storage information of the positioning area, and determining a current order positioned to the positioning area from the current collection order according to the article storage information and the historical orders, wherein articles in the current order positioned to the positioning area are stored in the positioning area;
and carrying out picking processing on the historical orders and the current orders located to the located area.
In some embodiments, determining from the current aggregated order, a current order located to the located area based on the item storage information and the historical orders comprises:
determining the residual storage information of the positioning area according to the article storage information and the historical order;
acquiring storage demand information of each current order, and determining that the residual storage information meets the current order of the storage demand information according to the residual storage information and each piece of storage demand information;
and determining the current order positioned to the positioning area from the current orders of which the residual storage information meets the storage demand information.
In some embodiments, determining a current order located to the location area from among current orders for which the remaining storage information meets storage demand information comprises:
determining the current order with the most article type information from the current orders with the residual storage information meeting the storage demand information;
and determining the current order positioned to the positioning area from the current orders with the most item type information.
In some embodiments, if the number of the current orders with the largest item type information is multiple, determining the current order located to the location area from the current orders with the largest item type information includes:
determining the current order with the most item quantity information from the current order with the most item type information;
determining the current order located to the location area from the current orders with the most quantity information of the items.
In some embodiments, if the number of the current orders with the largest item quantity information is multiple, determining the current order located to the location area from the current orders with the largest item quantity information includes:
and determining the current order with the earliest order placing time from the current orders with the most quantity information of the articles, and determining the current order positioned to the positioning area according to the current order with the earliest order placing time.
In some embodiments, the method further comprises:
if part of articles in any current order are stored in the positioning area, determining the residual storage information of the positioning area according to the storage information and the historical order;
acquiring the article type information of each article in the residual storage information, and acquiring the article type information of any current order;
determining the current order which covers the most article type information of each article in the residual storage information according to the article type information of each current order;
and determining the current order positioned to the positioning area from the current order which covers the most article type information of each article in the residual storage information.
In some embodiments, if the number of the current orders covering the item type information of each item in the remaining storage information is multiple, determining the current order located to the location area from the current orders covering the item type information of each item in the remaining storage information, which is the most, includes:
determining the current order with the largest article quantity information covering each article in the residual storage information from the current order with the largest article type information covering each article in the residual storage information;
and determining the current order positioned to the positioning area from the current order with the largest item quantity information covering each item in the residual storage information.
In some embodiments, if the number of the current orders covering the item quantity information of each item in the remaining storage information is multiple, determining the current order located to the location area from the current orders covering the item quantity information of each item in the remaining storage information, which is the highest, includes:
and determining the current order with the earliest order placing time from the current orders with the largest item quantity information covering all the items in the residual storage information, and determining the current order positioned to the positioning area according to the current order with the earliest order placing time.
In some embodiments, the method further comprises:
if each article in any current order is not stored in the positioning area, calculating the ratio between the article quantity information and the article type information of any current order, and positioning the current order with the maximum ratio;
the number of other positioning areas matched with the current order with the maximum ratio is within a preset number range; or, the other positioning areas matched with the current order with the maximum ratio are all within a preset geographic range.
In a second aspect, an embodiment of the present application provides an order processing apparatus, including:
the system comprises a first acquisition unit, a second acquisition unit and a sorting unit, wherein the first acquisition unit is used for acquiring a current collection list and acquiring a positioning area of an item in a historical order in a preset sorting area, the current collection list comprises a plurality of current orders, and the historical order is an order which is positioned to the positioning area and is not sorted;
a first determination unit for determining the item storage information of the positioning area;
a second determining unit, configured to determine, according to the item storage information and the historical orders, a current order located to the location area from the current aggregate order, where all items in the current order located to the location area are stored in the location area;
and the picking unit is used for carrying out picking treatment on the historical orders and the current orders positioned to the positioning area.
In some embodiments, the second determining unit includes:
the first determining subunit is used for determining the residual storage information of the positioning area according to the article storage information and the historical order;
the acquisition subunit is used for acquiring the storage demand information of each current order;
the second determining subunit is used for determining that the residual storage information meets the current order of the storage demand information according to the residual storage information and the storage demand information;
and the third determining subunit is used for determining the current order positioned to the positioning area from the current orders of which the residual storage information meets the storage demand information.
In some embodiments, the third determining subunit is configured to determine, from the current orders in which the remaining storage information satisfies the storage requirement information, a current order with the most item type information, and determine, from the current orders with the most item type information, a current order located to the location area.
In some embodiments, the third determining subunit is configured to, if the number of the current orders with the largest item type information is multiple, determine the current order with the largest item quantity information from the current orders with the largest item type information, and determine the current order located to the location area from the current orders with the largest item quantity information.
In some embodiments, the third determining subunit is configured to, if the number of the current orders with the largest item quantity information is multiple, determine the current order with the earliest order placing time from the current orders with the largest item quantity information, and determine the current order located to the location area from the current order with the earliest order placing time.
In some embodiments, further comprising:
a third determining unit, configured to determine, according to the storage information and the historical order, remaining storage information of the location area if part of the items in any current order are stored in the location area;
a second obtaining unit, configured to obtain item type information of each item in the remaining storage information, and obtain item type information of the any current order;
a fourth determining unit, configured to determine, according to the item type information of each current order, a current order that covers most of the item type information of each item in the remaining storage information;
a fifth determining unit, configured to determine, from the current order that covers the most item type information of each item in the remaining storage information, the current order that is located to the location area.
In some embodiments, the fifth determining unit includes:
a fourth determining subunit, configured to determine, if the number of the current order that covers the most item type information of each item in the remaining storage information is multiple, the current order that covers the most item number information of each item in the remaining storage information from the current order that covers the most item type information of each item in the remaining storage information;
and a fifth determining subunit, configured to determine, from the current order that covers the largest item quantity information of each item in the remaining storage information, the current order that is located to the location area.
In some embodiments, the fifth determining subunit is configured to, if the number of the current order covering the largest item quantity information of each item in the remaining storage information is multiple, determine the current order with the earliest order placing time from the current order covering the largest item quantity information of each item in the remaining storage information, and determine the current order located to the location area from the current order with the earliest order placing time.
In some embodiments, further comprising:
the calculating unit is used for calculating the ratio between the article quantity information and the article type information of any current order if each article in any current order is not stored in the positioning area;
the positioning unit is used for positioning the current order with the maximum value;
the number of other positioning areas matched with the current order with the maximum ratio is within a preset number range; or, the other positioning areas matched with the current order with the maximum ratio are all within a preset geographic range.
In a third aspect, an embodiment of the present application provides an electronic device, including: a memory, a processor;
a memory; a memory for storing the processor-executable instructions;
wherein the processor is configured to perform the method of the first aspect.
In a fourth aspect, the present application provides a computer-readable storage medium, in which computer-executable instructions are stored, and when executed by a processor, the computer-executable instructions are used to implement the method according to the first aspect.
In a fifth aspect, the present application provides a computer program product comprising a computer program which, when executed by a processor, implements the method according to the first aspect.
In a sixth aspect, an embodiment of the present application provides an order processing system, including:
the order processing apparatus according to the second aspect;
the picking device comprises a preset picking area, wherein the preset picking area comprises a shelf device, and a positioning area is at least part of unit shelves in the shelf device.
In some embodiments, the order processing apparatus is further configured to determine picking container information associated with the historical order and the current order located to the location area, determine a cache crossing for performing picking processing on the historical order and the current order located to the location area, and perform binding processing on the picking container information, the cache crossing, and the historical order and the current order located to the location area, and generate binding information for performing the picking processing based on the binding information.
In some embodiments, the shelf device comprises: a rotary goods shelf frame, a driving motor and a protective net, wherein,
the rotary shelf frame is used for storing and rotationally moving articles, and is provided with a plurality of unit shelves;
the driving motor is used for controlling the rotation of the rotary shelf frame.
The order processing method, device and system provided by the embodiment of the application comprise the following steps: obtaining a current collection sheet, obtaining a positioning area of an item in a historical order in a preset picking area, wherein the current collection sheet comprises a plurality of current orders, the historical order is an order which is positioned to the positioning area and is not picked, determining item storage information of the positioning area, and determining a current order positioned to the positioning area from the current collection sheet according to the item storage information and the historical order, wherein the items in the current order positioned to the positioning area are all stored in the positioning area, and picking the historical order and the current order positioned to the positioning area. The sorting device has the advantages that the sorting device is convenient for sorting historical orders and current orders positioned to the positioning area, the sorting between the historical orders and the current orders is highly attached, the positioned and unselected positioning area is fully and reasonably utilized, articles meeting more orders can be sorted from the positioning area as far as possible, the convenience and effectiveness of the sorting process can be improved, the order processing efficiency is improved, the article ex-warehouse efficiency is improved, and the technical effect of logistics experience of users is met.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present disclosure and together with the description, serve to explain the principles of the disclosure.
FIG. 1 is a flow chart illustrating an order processing method according to an embodiment of the present application;
FIG. 2 is a flowchart illustrating an order processing method according to another embodiment of the present application;
fig. 3 is a schematic view of an application scenario of the order processing method according to the embodiment of the present application;
FIG. 4 is a schematic diagram of an order processing apparatus according to an embodiment of the present application;
FIG. 5 is a schematic diagram of an order processing apparatus according to another embodiment of the present application;
fig. 6 is a block diagram of an electronic device of an order processing method according to an embodiment of the present application;
fig. 7 is a schematic structural diagram of an order processing system according to an embodiment of the present application.
With the foregoing drawings in mind, certain embodiments of the disclosure have been shown and described in more detail below. These drawings and written description are not intended to limit the scope of the disclosed concepts in any way, but rather to illustrate the concepts of the disclosure to those skilled in the art by reference to specific embodiments.
Detailed Description
Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, like numbers in different drawings represent the same or similar elements unless otherwise indicated. The implementations described in the exemplary embodiments below are not intended to represent all implementations consistent with the present disclosure. Rather, they are merely examples of apparatus and methods consistent with certain aspects of the present disclosure, as detailed in the appended claims.
The terms referred to in the embodiments of the present application are explained as follows:
collection list: the order is obtained by combining a plurality of orders within a preset time period (which can be a time period set based on a mode of demand, historical records, experiments and the like);
a sorting area: refers to an area for storing and picking items;
a positioning area: refers to a partial area included in the picking zone, such as a shelf or the like in the present embodiment;
article: it refers to various things and articles, such as products in seafood, food, articles for daily use, and the like, and is not listed here.
With the rapid development of electronic commerce, users have higher requirements on the speed of warehouse logistics so as to meet the requirement of the users on the logistics timeliness of the articles, and important factors on the speed of warehouse logistics include order processing, and particularly when the number of orders is large, the order processing method determines the speed of warehouse logistics to a great extent.
The important influence elements of order processing include order distribution and picking, and picking is generally realized based on the order distribution, such as picking operation based on the result of the order distribution.
In the related art, the order processing methods generally adopted include the following two methods:
one order processing method is "immediate processing", specifically: when the order to be processed is obtained, the items in the order to be processed are located according to the item storage information in the storage area, that is, it is determined in which area, specifically which shelf, the items in the order to be processed are located in, in order to generate location information (such as which shelf) corresponding to the order to be processed, so as to sort based on the location information.
However, with the order processing method, different orders are processed independently, and different orders may have the same article requirements, that is, different orders may include the same article, or the storage areas of some articles between different orders may be relatively close, so that there are technical problems of resource waste and low overall article delivery efficiency.
Another order processing method is "integrated processing", specifically: the method comprises the steps of obtaining orders in a preset time period, combining the orders into a plurality of collection sheets (the collection sheets comprise a plurality of orders) according to time information of the orders, and sequentially positioning storage areas of the orders in each collection sheet to obtain positioning information so as to sort the items in the orders based on the positioning information.
However, with this method of order processing, picking may be performed back and forth between storage areas by sequentially positioning and picking, which may result in low picking efficiency and thus low efficiency of warehouse-out.
In order to solve at least one of the above technical problems, the inventors of the present application have made creative efforts to obtain the inventive concept of the present application: it is determined from the plurality of current orders that current orders of the located area may be matched exactly to historical orders that have been located but have not begun picking in order to perform a picking process on items in the located area.
The following describes the technical solutions of the present application and how to solve the above technical problems with specific embodiments. The following several specific embodiments may be combined with each other, and details of the same or similar concepts or processes may not be repeated in some embodiments. Embodiments of the present application will be described below with reference to the accompanying drawings.
Fig. 1 is a flowchart illustrating an order processing method according to an embodiment of the present application.
As shown in fig. 1, the method includes:
s101: and acquiring a current collection list and acquiring a positioning area of the articles in the historical order in a preset sorting area.
The current collection list comprises a plurality of current orders, and the historical orders are orders which are located to the locating area and are not picked.
For example, the execution main body of the embodiment may be an order processing device, and the order processing device may be a server (e.g., a local server), a terminal device (e.g., a desktop computer, a notebook computer, or the like), a processor, a chip, or the like, and the embodiment is not limited thereto.
Specifically, the order processing apparatus may be a Warehouse Management System (WMS) provided in a server (or a terminal device, or the like), and the order processing apparatus may be more specifically a Warehouse Control System (WCS).
It should be understood that historical orders are a relative concept to current orders and should not be construed as limiting orders. The historical orders may be understood as orders that have been located and not picked, and the historical orders are located to a location area, which is a partial area in the preset picking area.
For example, the predetermined picking area is a predetermined picking area including a plurality of shelves, the positioning area is one or more shelves of the plurality of shelves, and if the shelves are rotating shelves, the positioning area is one or more shelves on a certain rotating surface of the rotating shelves.
S102: and determining the article storage information of the positioning area, and determining the current order positioned to the positioning area from the current collection list according to the article storage information and the historical orders.
And all the items in the current order positioned to the positioning area are stored in the positioning area. The item storage information may be understood as information related to the type and number of items in the positioning area.
It should be noted that the number of the current orders is plural, and for any one current order in the plural current orders, on the basis that the item storage information satisfies the item requirements of the historical order, the items of the current order may all be contained in the location area, may also be partially contained in the location area, or may not be contained in the location area.
Accordingly, this step can be understood as: if all the articles in a current order are contained in the positioning area, that is, all the articles are stored in the positioning area, on the basis that the article storage information meets the article requirements of the historical order, the current order can be positioned to the positioning area.
S103: a picking process is performed on the historical orders and the current orders located to the located area.
It is worth to say that, in the present embodiment, there are introduced: on the basis that the article storage information meets the article demand of a historical order, the current order of which the articles are stored in the positioning area is determined from all the current orders, and the current order is positioned to the positioning area, so that the characteristics of picking processing of the historical order and the current order positioned to the positioning area are facilitated, the picking processing between the historical order and the current order is highly attached, the positioned and unselected positioning area is fully and reasonably utilized, articles meeting more orders can be picked from the positioning area as far as possible, the convenience and effectiveness of the picking processing can be improved, the efficiency of order processing is improved, the efficiency of article delivery is improved, and the technical effect of logistics experience of a user is met.
Fig. 2 is a flowchart illustrating an order processing method according to another embodiment of the present application.
As shown in fig. 2, the method includes:
s201: and acquiring a current collection list and acquiring a positioning area of the articles in the historical order in a preset sorting area.
The current collection list comprises a plurality of current orders, and the historical orders are orders which are located to the locating area and are not picked.
For example, the description about S201 may refer to S101, and is not described herein again.
S202: and determining the article storage information of the positioning area, and determining the residual storage information of the positioning area according to the article storage information and the historical orders.
As can be seen from the foregoing embodiment, the historical orders include items, and the items in the historical orders are located in the location area, that is, the items in the historical orders can be picked from the location area, and the item storage information may be that a part of the items remain after the location of the items in the historical orders is satisfied, and the related information (such as the variety, the quantity, and the like) of the items in the location area other than the items in the historical orders can be the remaining storage information.
S203: and if the residual storage information meets the storage demand information of at least part of the current orders in the current collection list, determining that the residual storage information meets the current orders of the storage demand information.
For any current order, the current order comprises articles, and accordingly, the information related to the articles of the current order can be understood as the storage demand information of the current order.
It is worth mentioning that the remaining storage information may include more kinds of items and/or more numbers of items, and may also include less kinds of items and/or less numbers of items, that is, the remaining storage information may include all of the items in some (or all) of the current orders, may include some of the items in some (or all) of the current orders, and may not include any of the items in some (or all) of the current orders.
In this step, if the order processing device determines that the remaining storage information satisfies the storage requirement information of at least part of the current orders in the current collection list, the order processing device determines that the remaining storage information satisfies the current orders of the storage requirement information.
For example, the number of current orders is ten, and the items in current order a, current order B, and current order C are all contained in the remaining storage information. The relationship between the three current orders and the remaining storage information is independent, that is, all the items in the current order a are contained in the remaining storage information, but when the items in the current order a and the items in the current order B are summarized, the items may not be uniformly contained in the remaining storage information.
In some embodiments, region I is located1Can be represented by formula 1, formula 1:
I1＝{∑JHv}
wherein JHvA single area is represented. For example, if the location area is a set of shelves, a single area represents a unit shelf.
Specifically, the order processing method of this embodiment may be applied to the application scenario shown in fig. 3, and in the application scenario shown in fig. 3, an order processing device (not shown in the figure) may determine to locate each current order, such as to obtain the location area described in the above embodiment, bind the location area, the picking container 301, and the cache way junction 302, and transport the picking container 301 to the cache way junction 302 through the transport line 303.
In some embodiments, as shown in fig. 3, the picking process may be performed by a worker 304, such as the worker 304 picking items from a positioning area (such as the unit shelves 306 shown in fig. 3, or a group of shelves including the unit shelves 306, i.e., a group of shelves including multiple levels of unit shelves as shown in fig. 3) in a preset picking zone 305 (which may be a warehouse, and may be specifically a rotating shelf) according to the positioning area.
In other embodiments, the picking robot may also be controlled by the order processing device to pick items from the location area 306.
Where the picking containers 301 are used to hold picked items, the order processing device may transport the picking containers 301 to a packing location or other location for subsequent processing via a transport line 303.
Residual storage information I2Can be represented by formula 2, formula 2:
Figure BDA0003007546660000111
wherein k represents an article, qkIndicating the number of items.
As shown in equation 2, the remaining storage information I2The type and number of items that can be additionally positioned on a plurality of unit shelves, and the like. Accordingly, the type and number of items that can be additionally positioned for one unit shelf can be represented by equation 3, equation 3:
I3＝{∑(k，qk)，JHv}
in some embodiments, the function P may be passed1(i，I2) And the current order i indicates that the residual storage information meets the storage demand information.
S204: and determining the current order positioned to the positioning area from the current orders of which the residual storage information meets the storage demand information.
It should be noted that, in this embodiment, the remaining storage information is determined to satisfy the current order of the storage demand information, so as to determine the current order located to the location area, so that in the picking process, more products can be picked in the location area, repeated picking is avoided, the picking efficiency is improved, and the warehouse-out efficiency of the items is improved.
Particularly, when the application scenario of the order processing method is the application scenario of the fresh cold chain and when the worker performs the sorting operation on the articles stored on the rotating shelf, due to the environment of the fresh cold chain and other reasons, the order processing method provided by the embodiment can sort as many articles as possible in as short a time as possible, thereby improving the technical effect of the order processing efficiency.
In some embodiments, S204 may include the steps of:
step 1: and determining the current order with the most item type information from the current orders with the residual storage information meeting the storage demand information.
Step 2: and determining the current order positioned to the positioning area from the current orders with the most item type information.
For example, if the number of current orders whose remaining storage information satisfies the storage requirement information is five, and the current orders are respectively marked as current order 1 to current order 5, the present embodiment may be understood as follows:
and respectively determining the item type information in each current order from the current order 1 to the current order 5, and determining the current order with the most item type information from the five current orders, wherein if the item type information of the four current orders is five and the item type information of the other current order is four, the current order positioned to the positioning area is determined from the four current orders of the five item type information.
The current order with the most item type information can be represented by a function Max N (i, k), where N (i, k) represents the item type number information of different items in the collection sheet i.
It should be noted that, in this embodiment, the current order with the largest item type information is determined so as to determine the current order located in the location area, so that the determined item type information of the current order is the largest, repeated picking is avoided, picking efficiency is improved, and therefore the technical effect of the warehouse-out efficiency of the items is improved.
In some embodiments, if the number of the current order with the largest item type information is multiple, step 2 may include the following sub-steps:
substep 1: and determining the current order with the most item quantity information from the current orders with the most item type information.
Substep 2: determining the current order located to the location area from the current orders with the most quantity information of the items.
For example, with reference to the above embodiment, if the number of the current order with the largest item type information is four, information related to the number of the items in each of the four current orders (i.e., item number information) is determined, and the current order with the largest item number information is determined from the four current orders, so as to locate the determined current order to the location area.
Wherein, the current order with the most quantity information of the articles can pass through a function Max N (i, sigma q)k) Is shown, wherein N (i, Σ q)k) Item quantity information representing all items within the aggregated listing.
It should be noted that, in this embodiment, the current order with the largest item quantity information is determined, so as to determine the current order located in the location area, so that the determined item quantity information of the current order is the largest, repeated picking is avoided, picking efficiency is improved, and the technical effect of the warehouse-out efficiency of the items is further improved.
In some embodiments, if the number of the current order with the largest item quantity information is multiple, sub-step 2 may include: and determining the current order with the earliest order placing time from the current orders with the most quantity information of the articles, and determining the current order positioned to the positioning area according to the current order with the earliest order placing time.
For example, with reference to the above embodiment, if the number of the current order with the largest item quantity information is three, the order placing times of the three current orders may be respectively obtained, and the current order with the earliest order placing time is selected from the three current orders, so as to locate the current order with the earliest order placing time to the location area.
It should be noted that, in this embodiment, by locating the current order with the earliest order placing time to the location area based on the order placing time, the current order with the earliest order placing time can be selected as soon as possible, so as to improve the selecting efficiency and further improve the delivery efficiency of the items.
In some embodiments, if the number of the current orders with the earliest placing time is multiple, the current orders can be randomly selected from the multiple current orders, and the selected current orders are located in the location area.
Illustratively, the number of current orders located to the location area may be determined based on the remaining stored information. For example, if the remaining storage information can satisfy the storage requirement information of a plurality of current orders, the plurality of current orders can be located to the location area.
S205: and if part of the articles in any current order are stored in the positioning area, acquiring the article type information of each article in the residual storage information, and acquiring the article type information of any current order.
As can be seen from the foregoing embodiments, there may be a case where all the items in the current order (one or all) are stored in the location area, or there may be a case where part of the items in the current order (one or all) are stored in the location area, and when the part of the items in the current order (one or all) are stored in the location area, the order processing apparatus may obtain the item type information of each item in the remaining storage information, and obtain the item type information of any current order (i.e., there is a current order where part of the items are stored in the location area).
S206: and determining the current order which covers the most article type information of each article in the residual storage information according to the article type information of each current order.
S207: and determining the current order positioned to the positioning area from the current order which covers the most article type information of each article in the residual storage information.
For the principle of S206 to S207, reference may be made to step 1 to step 2 included in S204, which is not described herein again.
Similarly, in this embodiment, the current order located to the location area is determined by determining the current order with the largest item type information, so that the determined item type information of the current order is the largest, repeated picking is avoided, picking efficiency is improved, and the warehouse-out efficiency of the items is improved.
In some embodiments, if the number of the current orders covering the item type information of each item in the remaining storage information is more than one, S207 may include the following steps:
step 1: and determining the current order with the largest article quantity information of each article in the coverage surplus storage information from the current order with the largest article type information of each article in the coverage surplus storage information.
Step 2: and determining the current order positioned to the positioning area from the current order which covers the most quantity information of each item in the residual storage information.
For the principle of step 1 to step 2, reference may be made to substep 1 and substep 2 described above, which are not described herein again.
Similarly, in this embodiment, the current order with the largest item quantity information is determined, so as to determine the current order located to the location area, so that the determined item quantity information of the current order is the largest, repeated picking is avoided, picking efficiency is improved, and the technical effect of warehouse-out efficiency of the items is improved.
In some embodiments, if the number of the current order with the largest item quantity information covering each item in the remaining storage information is multiple, step 2 may include: and determining the current order with the earliest order placing time from the current orders with the largest article quantity information covering each article in the residual storage information, and determining the current order positioned to the positioning area according to the current order with the earliest order placing time.
For the principle of step 2, the content specifically included in the above sub-step 2 can be referred to, and details are not described here.
Similarly, in this embodiment, the current order with the earliest order placing time is positioned to the positioning area based on the order placing time, so that the current order with the earliest order placing time can be selected as soon as possible, the selecting efficiency is improved, and the warehouse-out efficiency of the articles is further improved.
S208: if each article in any current order is not stored in the positioning area, calculating the ratio between the article quantity information and the article type information of any current order, and positioning the current order with the maximum value.
The number of other positioning areas matched with the current order with the largest ratio is within a preset number range; or, the other positioning areas matched with the current order with the maximum ratio are all within the preset geographic range.
In some embodiments, the function may be passed
Figure BDA0003007546660000151
The current order with the largest ratio is determined.
It should be noted that, in this embodiment, by performing the positioning processing based on the current order with the largest ratio, the number of the items to be delivered from the warehouse is the largest, and at the same time, the items are positioned to fewer areas, such as to fewer shelves, or the distance between the positioned shelves is the shortest, so as to improve the technical effect of the delivery efficiency of the items.
In some embodiments, if the number of the current orders with the largest passing ratio is multiple, the current orders with the largest passing ratios may be located based on the order placing time of the current orders with the largest passing ratios, so as to improve the delivery efficiency of the items.
In other embodiments, in addition to the current order whose location is completed based on the above embodiments, for other current orders whose location is not completed, other current orders whose location is not completed may be located to a new location area, such as to other shelves, which is not limited in this embodiment.
S209: a picking process is performed on the historical orders and the current orders located to the located area.
Based on the above analysis, S203 to S208 can be understood as a positioning process of the order processing device for the current order in the collection sheet, that is, a process of allocating a positioning area for the current order, but in this embodiment, each current order in the collection sheet can be divided into three types, one type is a current order completely appended to the positioning area, the other type is a current order incompletely appended to the positioning area, and the other type is a current order that cannot be appended to the positioning area.
Specifically, the current order completely appended to the positioning area may be the current order in which the remaining storage information satisfies the storage requirement information; the current order that is not completely appended to the positioning area may be the current order in which part of the items are stored in the positioning area; the current order that cannot be appended to the location area may be the current order for which each item is not stored in the location area.
It should be understood that the order processing apparatus may execute order processing corresponding to different types of current orders, or may perform unified processing on different types of current orders, that is, the foregoing embodiment may be split into different embodiments based on different types of current orders, or may be an embodiment, and the embodiment is not limited in this embodiment.
Referring to fig. 4, fig. 4 is a schematic view of an order processing apparatus according to an embodiment of the present application.
As shown in fig. 4, the order processing apparatus 400 includes:
the first obtaining unit 401 is configured to obtain a current collection list, where the current collection list includes a plurality of current orders, and obtain a location area of an item in a history order in a preset picking area, where the history order is an order that has been located to the location area and has not been picked.
A first determining unit 402, configured to determine item storage information of the location area.
A second determining unit 403, configured to determine, according to the item storage information and the historical orders, a current order located to the location area from the current aggregate, where all items in the current order located to the location area are stored in the location area.
A picking unit 404, configured to perform a picking process on the historical orders and the current orders located in the located area.
Referring to fig. 5, fig. 5 is a schematic view of an order processing apparatus according to another embodiment of the present application.
As shown in fig. 5, the order processing apparatus 500 includes:
the first obtaining unit 501 is configured to obtain a current collection list, where the current collection list includes a plurality of current orders, and obtain a location area of an item in a history order in a preset picking area, where the history order is an order that has been located to the location area and has not been picked.
A first determining unit 502, configured to determine item storage information of the location area.
A second determining unit 503, configured to determine, according to the item storage information and the historical orders, a current order located to the location area from the current aggregate, where all items in the current order located to the location area are stored in the location area.
As can be seen in fig. 5, in some embodiments, the second determining unit 503 includes:
a first determining subunit 5031, configured to determine, according to the item storage information and the historical order, remaining storage information of the location area.
An obtaining sub-unit 5032 is configured to obtain the storage requirement information of each current order.
A second determining subunit 5033, configured to determine, according to the remaining storage information and each piece of storage demand information, that the remaining storage information meets the current order of the storage demand information.
A third determining subunit 5034, configured to determine, from the current orders whose remaining storage information satisfies the storage requirement information, a current order located to the location area.
In some embodiments, the third determining subunit 5034 is configured to determine, from the current orders whose remaining storage information satisfies the storage requirement information, a current order with the most item type information, and determine, from the current orders with the most item type information, a current order located to the location area.
In some embodiments, the third determining subunit 5034 is configured to determine, if the number of the current order with the largest item type information is multiple, the current order with the largest item number information from the current order with the largest item type information, and determine the current order located to the location area from the current order with the largest item number information.
In some embodiments, the third determining subunit 5034 is configured to determine, if the number of the current order with the largest item quantity information is multiple, the current order with the earliest order placing time from the current orders with the largest item quantity information, and determine the current order located in the location area according to the current order with the earliest order placing time.
A third determining unit 504, configured to determine, according to the storage information and the historical order, remaining storage information of the location area if a part of the items in any current order are stored in the location area.
A second obtaining unit 505, configured to obtain the item type information of each item in the remaining storage information, and obtain the item type information of the any current order.
A fourth determining unit 506, configured to determine, according to the item type information of each current order, a current order that covers most of the item type information of each item in the remaining storage information.
A fifth determining unit 507, configured to determine a current order located to the location area from the current order that covers the most item type information of each item in the remaining storage information.
In some embodiments, the fifth determining unit 507 includes:
a fourth determining subunit 5071, configured to determine, from the current order with the largest item type information covering each item in the remaining storage information, the current order with the largest item quantity information covering each item in the remaining storage information, if the number of the current orders with the largest item type information covering each item in the remaining storage information is plural.
A fifth determining subunit 5072, configured to determine, from the current order that covers the largest item quantity information of each item in the remaining storage information, the current order that is located to the location area.
In some embodiments, the fifth determining subunit 5072 is configured to, if the number of the current order covering the largest item quantity information of each item in the remaining storage information is multiple, determine the current order with the earliest order placing time from the current orders covering the largest item quantity information of each item in the remaining storage information, and determine the current order located in the location area from the current order with the earliest order placing time.
A calculating unit 508, configured to calculate a ratio between the item quantity information and the item type information of any current order if each item in any current order is not stored in the location area.
A positioning unit 509, configured to perform positioning processing on the current order with the largest value.
The number of other positioning areas matched with the current order with the maximum ratio is within a preset number range; or, the other positioning areas matched with the current order with the maximum ratio are all within a preset geographic range.
A picking unit 510, configured to perform picking processing on the historical orders and the current orders located in the located area.
According to an embodiment of the present application, an electronic device and a readable storage medium are also provided.
There is also provided, in accordance with an embodiment of the present application, a computer program product, including: a computer program, stored in a readable storage medium, from which at least one processor of the electronic device can read the computer program, the at least one processor executing the computer program causing the electronic device to perform the solution provided by any of the embodiments described above.
As shown in fig. 6, the electronic device is a block diagram of an electronic device according to an order processing method of the embodiment of the present application. Electronic devices are intended to represent various forms of digital computers, such as laptops, desktops, workstations, personal digital assistants, servers, blade servers, mainframes, and other appropriate computers. The electronic device may also represent various forms of mobile devices, such as personal digital processing, cellular phones, smart phones, wearable devices, and other similar computing devices. The components shown herein, their connections and relationships, and their functions, are meant to be examples only, and are not meant to limit implementations of the present application that are described and/or claimed herein.
As shown in fig. 6, the electronic apparatus includes: one or more processors 601, memory 602, and interfaces for connecting the various components, including a high-speed interface and a low-speed interface. The various components are interconnected using different buses and may be mounted on a common motherboard or in other manners as desired. The processor may process instructions for execution within the electronic device, including instructions stored in or on the memory to display graphical information of a GUI on an external input/output apparatus (such as a display device coupled to the interface). In other embodiments, multiple processors and/or multiple buses may be used, along with multiple memories and multiple memories, as desired. Also, multiple electronic devices may be connected, with each device providing portions of the necessary operations (e.g., as a server array, a group of blade servers, or a multi-processor system). In fig. 6, one processor 601 is taken as an example.
The memory 602 is a non-transitory computer readable storage medium as provided herein. The memory stores instructions executable by at least one processor to cause the at least one processor to perform the order processing method provided by the present application. The non-transitory computer-readable storage medium of the present application stores computer instructions for causing a computer to execute the order processing method provided by the present application.
The memory 602, which is a non-transitory computer readable storage medium, may be used to store non-transitory software programs, non-transitory computer executable programs, and modules, such as program instructions/modules corresponding to the order processing method in the embodiments of the present application. The processor 601 executes various functional applications of the server and data processing by running non-transitory software programs, instructions and modules stored in the memory 602, that is, implements the order processing method in the above method embodiment.
The memory 602 may include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required for at least one function; the storage data area may store data created according to the use of the electronic device of the order processing method, and the like. Further, the memory 602 may include high speed random access memory, and may also include non-transitory memory, such as at least one magnetic disk storage device, flash memory device, or other non-transitory solid state storage device. In some embodiments, the memory 602 optionally includes memory located remotely from the processor 601, and these remote memories may be connected to the electronic device of the order processing method via a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
The electronic device of the order processing method may further include: an input device 603 and an output device 604. The processor 601, the memory 602, the input device 603 and the output device 604 may be connected by a bus or other means, and fig. 6 illustrates the connection by a bus as an example.
The input device 603 may receive input numeric or character information and generate key signal inputs related to user settings and function control of the electronic equipment of the order processing method, such as a touch screen, a keypad, a mouse, a track pad, a touch pad, a pointing stick, one or more mouse buttons, a track ball, a joystick, or other input devices. The output devices 604 may include a display device, auxiliary lighting devices (e.g., LEDs), and tactile feedback devices (e.g., vibrating motors), among others. The display device may include, but is not limited to, a Liquid Crystal Display (LCD), a Light Emitting Diode (LED) display, and a plasma display. In some implementations, the display device can be a touch screen.
Various implementations of the systems and techniques described here can be realized in digital electronic circuitry, integrated circuitry, application specific ASICs (application specific integrated circuits), computer hardware, firmware, software, and/or combinations thereof. These various embodiments may include: implemented in one or more computer programs that are executable and/or interpretable on a programmable system including at least one programmable processor, which may be special or general purpose, receiving data and instructions from, and transmitting data and instructions to, a storage system, at least one input device, and at least one output device.
These computer programs (also known as programs, software applications, or code) include machine instructions for a programmable processor, and may be implemented using high-level procedural and/or object-oriented programming languages, and/or assembly/machine languages. As used herein, the terms "machine-readable medium" and "computer-readable medium" refer to any computer program product, apparatus, and/or device (e.g., magnetic discs, optical disks, memory, Programmable Logic Devices (PLDs)) used to provide machine instructions and/or data to a programmable processor, including a machine-readable medium that receives machine instructions as a machine-readable signal. The term "machine-readable signal" refers to any signal used to provide machine instructions and/or data to a programmable processor.
To provide for interaction with a user, the systems and techniques described here can be implemented on a computer having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to a user; and a keyboard and a pointing device (e.g., a mouse or a trackball) by which a user can provide input to the computer. Other kinds of devices may also be used to provide for interaction with a user; for example, feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form, including acoustic, speech, or tactile input.
The systems and techniques described here can be implemented in a computing system that includes a back-end component (e.g., as a data server), or that includes a middleware component (e.g., an application server), or that includes a front-end component (e.g., a user computer having a graphical user interface or a web browser through which a user can interact with an implementation of the systems and techniques described here), or any combination of such back-end, middleware, or front-end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: local Area Networks (LANs), Wide Area Networks (WANs), and the Internet.
The computer system may include clients and servers. A client and server are generally remote from each other and typically interact through a communication network. The relationship of client and server arises by virtue of computer programs running on the respective computers and having a client-server relationship to each other.
According to another aspect of the embodiments of the present application, an order processing system is further provided, where the order processing system includes the order processing apparatus described in the above embodiments, and may also include the electronic device described in the above embodiments, and the order processing apparatus further includes:
the picking area comprises a shelf device, and the positioning area is at least part of unit shelves in the shelf device.
In some embodiments, the order processing apparatus is further configured to determine picking container information associated with the historical order and the current order located to the location area, determine a cache crossing for performing picking processing on the historical order and the current order located to the location area, and perform binding processing on the picking container information, the cache crossing, and the historical order and the current order located to the location area, and generate binding information for performing the picking processing based on the binding information.
Illustratively, in conjunction with the application scenario shown in FIG. 3, the order processing system may also include a pick container and a cache crossing as described in FIG. 3.
In particular, the order processing system may also include a delivery line as shown in FIG. 3.
Accordingly, the control flow of the order processing system can be described with reference to fig. 3, and is not described herein again.
Referring to fig. 7, fig. 7 is a schematic structural diagram of an order processing system according to an embodiment of the present application.
As shown in fig. 7, the order processing system 700 includes: an order processing device (not shown), a shelf device (i.e. an area to be picked) 701, a bar code scanner 702, a picking container (not shown), a buffer crossing 703, wherein,
the barcode scanner 702 is configured to scan a barcode on the picking container to obtain information about the picking container, and send the information about the picking container to the order processing apparatus;
the order processing device is configured to perform binding processing on the picking container information, the cache road junction 703, the historical orders and the current orders (for a specific implementation process, see the above embodiment, and are not described here again) located in the location area, and generate binding information, so as to perform picking processing from the shelf device 701 based on the binding information.
As shown in fig. 7, in some embodiments, shelving unit 701 includes: a rotary shelf frame 7011, a driving motor 7012, a protective net 7013, and a unit shelf 7014, wherein,
the rotating shelf frame 7011 is used for storing and rotating the moving articles, and the rotating shelf frame 7011 is provided with a plurality of unit shelves 7014;
a driving motor 7012 for controlling the rotation of the rotary rack frame 7011;
the protective net 7013 is used to protect components in the shelving device 701, such as the rotary shelving frame 7011, the drive motor 7012, and the unit shelving 7014.
As shown in FIG. 7, in some embodiments, the order processing system 700 includes:
and the heat preservation wall 704 is used for performing heat preservation treatment on the bar code scanner 702, the picking container and the cache road junction 703.
Based on the above analysis, the order processing method of the embodiment can be applied to the application scenario of the fresh and fresh cold chain, and the safety of the staff can be ensured by arranging the thermal insulation wall 704, especially when the staff is performing the picking operation, in consideration of the temperature condition of the application scenario of the fresh and fresh cold chain.
And in the application scenario of the fresh cold chain, the order processing device may be disposed in the thermal insulation wall 704. For example, the order processing device may include a display, the display may display information of the shelf device, may also display binding information, and the like, and the staff may perform corresponding operations on the display, which is not limited in this embodiment.
For example, the worker may select a corresponding location area (i.e., a unit shelf) on the display according to the binding information, and may input or select the type and number of corresponding items, and so on.
The shelf unit comprises a plurality of laminates, the laminates divide the shelf unit into a plurality of layers, and each layer of laminate is provided with a plurality of storage positions.
It should be appreciated that the above embodiments are merely exemplary and that the order processing system may include components and should not be construed as limiting the components of the order processing system. For example, in some embodiments, the order processing system may further include a transport system, such as a transport assembly for transporting picking containers and the like, and may specifically include a guide mechanism, a transport line, and the like, and may further include a transfer assembly and the like, which are not further illustrated herein.
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 variations, 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.
It will be understood that the present disclosure is not limited to the precise arrangements described above and shown in the drawings and that various modifications and changes may be made without departing from the scope thereof. The scope of the present disclosure is limited only by the appended claims.

Claims (14)

1. An order processing method, comprising:
acquiring a current collection list and acquiring a positioning area of an item in a historical order in a preset picking area, wherein the current collection list comprises a plurality of current orders, and the historical order is an order which is positioned to the positioning area and is not picked;
determining article storage information of the positioning area, and determining a current order positioned to the positioning area from the current collection order according to the article storage information and the historical orders, wherein articles in the current order positioned to the positioning area are stored in the positioning area;
and carrying out picking processing on the historical orders and the current orders located to the located area.
2. The method of claim 1, wherein determining a current order from the current aggregated order that is located to the located area based on the item storage information and the historical orders comprises:
determining the residual storage information of the positioning area according to the article storage information and the historical order;
acquiring storage demand information of each current order, and determining that the residual storage information meets the current order of the storage demand information according to the residual storage information and each piece of storage demand information;
and determining the current order positioned to the positioning area from the current orders of which the residual storage information meets the storage demand information.
3. The method of claim 2, wherein determining a current order located to the location area from among current orders for which the remaining storage information meets storage demand information comprises:
determining the current order with the most article type information from the current orders with the residual storage information meeting the storage demand information;
and determining the current order positioned to the positioning area from the current orders with the most item type information.
4. The method of claim 3, wherein determining the current order located to the location area from the current order with the most item type information if the number of the current orders with the most item type information is multiple comprises:
determining the current order with the most item quantity information from the current order with the most item type information;
determining the current order located to the location area from the current orders with the most quantity information of the items.
5. The method of claim 4, wherein if the number of the current orders with the most quantity information is multiple, determining the current order located to the location area from the current orders with the most quantity information comprises:
and determining the current order with the earliest order placing time from the current orders with the most quantity information of the articles, and determining the current order positioned to the positioning area according to the current order with the earliest order placing time.
6. The method of any of claims 1-5, further comprising:
if part of articles in any current order are stored in the positioning area, determining the residual storage information of the positioning area according to the storage information and the historical order;
acquiring the article type information of each article in the residual storage information, and acquiring the article type information of any current order;
determining the current order which covers the most article type information of each article in the residual storage information according to the article type information of each current order;
and determining the current order positioned to the positioning area from the current order which covers the most article type information of each article in the residual storage information.
7. The method of claim 6, wherein if the number of the current orders covering the item type information of each item in the remaining storage information is multiple, determining the current order located to the location area from the current orders covering the item type information of each item in the remaining storage information is the highest, comprises:
determining the current order with the largest article quantity information covering each article in the residual storage information from the current order with the largest article type information covering each article in the residual storage information;
and determining the current order positioned to the positioning area from the current order with the largest item quantity information covering each item in the residual storage information.
8. The method of claim 7, wherein if the number of the current orders covering the item quantity information of each item in the remaining storage information is multiple, determining the current order located to the location area from the current orders covering the item quantity information of each item in the remaining storage information is the highest, comprises:
and determining the current order with the earliest order placing time from the current orders with the largest item quantity information covering all the items in the residual storage information, and determining the current order positioned to the positioning area according to the current order with the earliest order placing time.
9. The method of any of claims 1-5, further comprising:
if each article in any current order is not stored in the positioning area, calculating the ratio between the article quantity information and the article type information of any current order, and positioning the current order with the maximum ratio;
the number of other positioning areas matched with the current order with the maximum ratio is within a preset number range; or, the other positioning areas matched with the current order with the maximum ratio are all within a preset geographic range.
10. An order processing apparatus comprising:
the system comprises a first acquisition unit, a second acquisition unit and a sorting unit, wherein the first acquisition unit is used for acquiring a current collection list and acquiring a positioning area of an item in a historical order in a preset sorting area, the current collection list comprises a plurality of current orders, and the historical order is an order which is positioned to the positioning area and is not sorted;
a first determination unit for determining the item storage information of the positioning area;
a second determining unit, configured to determine, according to the item storage information and the historical orders, a current order located to the location area from the current aggregate order, where all items in the current order located to the location area are stored in the location area;
and the picking unit is used for carrying out picking treatment on the historical orders and the current orders positioned to the positioning area.
11. An electronic device, comprising: a memory, a processor;
a memory; a memory for storing the processor-executable instructions;
wherein the processor is configured to perform the method of any one of claims 1 to 9.
12. A computer readable storage medium having stored therein computer executable instructions for implementing the method of any one of claims 1 to 9 when executed by a processor.
13. A computer program product comprising a computer program which, when executed by a processor, implements the method according to any one of claims 1 to 9.
14. An order processing system comprising:
the order processing apparatus of claim 10;
the picking device comprises a preset picking area, wherein the preset picking area comprises a shelf device, and a positioning area is at least part of unit shelves in the shelf device.
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