CN113128821A - Method and device for determining task - Google Patents
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- CN113128821A CN113128821A CN202010048469.8A CN202010048469A CN113128821A CN 113128821 A CN113128821 A CN 113128821A CN 202010048469 A CN202010048469 A CN 202010048469A CN 113128821 A CN113128821 A CN 113128821A
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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
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
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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
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
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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
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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
Abstract
The invention discloses a method and a device for determining tasks, and relates to the technical field of warehouse logistics. One embodiment of the method comprises: randomly combining the first quantity of picking tasks to obtain a plurality of combinations; wherein the number of picking tasks in each combination is a second number, the first number being greater than the second number; for each combination, determining item and storage coincidence rates between tasks in the combination according to the picking tasks in the combination; selecting a combination with the highest coincidence rate of the articles and the storage positions among the tasks as a target combination from the plurality of combinations; and combining the picking tasks in the target combination to obtain a target task. This embodiment improves the picking efficiency.
Description
Technical Field
The invention relates to the technical field of warehouse logistics, in particular to a method and a device for determining tasks.
Background
Currently, each picking task is relatively independent, and only one picking task is allocated to one user at the same time point. As shown in FIG. 1, task 1 is assigned only to user 1, task 3 is assigned only to user 2, and task 5 is assigned only to user 3. In addition, as shown in fig. 2, each picking task includes a separate path, but the path included in task 1 and the path included in task 3 overlap.
In the process of implementing the invention, the inventor finds that at least the following problems exist in the prior art:
even if the picking order comprises fewer types of articles to be picked or fewer number of bins to be picked, only one picking order is assigned to one user. Therefore, the time for completing a plurality of picking tasks is long, and the picking efficiency is low. In addition, the paths included by the picking tasks may overlap, so that the distance required for the user to travel to complete the picking tasks is longer, and the problem of low picking efficiency is further aggravated.
Disclosure of Invention
In view of this, embodiments of the present invention provide a method and an apparatus for determining a task, which improve the picking efficiency.
To achieve the above object, according to an aspect of an embodiment of the present invention, there is provided a method of determining a task.
The method for determining the task of the embodiment of the invention comprises the following steps:
randomly combining the first quantity of picking tasks to obtain a plurality of combinations; wherein the number of picking tasks in each combination is a second number, the first number being greater than the second number;
for each combination, determining item and storage coincidence rates between tasks in the combination according to the picking tasks in the combination;
selecting a combination with the highest coincidence rate of the articles and the storage positions among the tasks as a target combination from the plurality of combinations;
and combining the picking tasks in the target combination to obtain a target task.
In one embodiment, determining item and bin coincidence rates between tasks in the group based on picking tasks in the group comprises:
respectively determining the number of first storage positions and the number of first items according to the items to be picked included in each picking task in the combination and the storage positions to be picked of the items to be picked;
dividing the number of the first storage positions by the third number to obtain the storage position coincidence rate; dividing the number of the first articles by the third number to obtain an article coincidence rate;
taking the sum of the stock and item overlap rates as the item and stock overlap rate between tasks in the combination;
wherein the third number is the sum of the number of pickups included in each picking task in the combination.
In one embodiment, determining the number of first bins and the number of first items respectively according to the items to be picked included in each picking task in the combination and the picking bin of the items to be picked comprises:
if each picking task in the combination comprises the same storage position, determining the number of the same storage position as the number of the first storage position;
if the items picked from the first storage location according to each picking task in the combination are the same, determining the number of the same items as the number of the first items.
In one embodiment, merging the picking tasks in the target combination to obtain the target task comprises:
carrying out duplication elimination processing on the storage positions to be picked included in all picking tasks in the target combination to obtain a key storage position set, and generating a path according to the key storage position set;
determining the items to be picked of each key storage position in the key storage position set and the quantity of the items picked from each key storage position respectively according to the items to be picked, the quantity of the items to be picked and the storage positions of the items to be picked which are included in all picking tasks in the target combination;
targeting the path, and the number of items to be picked for each key bin in the set of key bins and the items picked from each key bin.
In one embodiment, generating a path from the set of key bins comprises:
determining the arrangement sequence of each key storage position in the key storage position set according to the sequence of the distance between the key storage position and the picking initial position from short to long or the sequence of the distance between the key storage position and the picking initial position from long to short;
and generating the path according to the arrangement sequence of each key storage bit.
In one embodiment, a method of acquiring a first number of picking tasks includes:
the order picking tasks belonging to the same packing operation executing party, the same rechecking operation executing party or the same sorting operation executing party are selected from the plurality of order picking tasks to be used as the order picking tasks of the first quantity.
In one embodiment, the pick task carries a task type;
a method of acquiring a first number of picking tasks, comprising:
selecting the picking tasks with the same task type from a plurality of picking tasks as a first number of picking tasks.
In one embodiment, the second number is the same as the user's task demand.
To achieve the above object, according to another aspect of an embodiment of the present invention, there is provided an apparatus for determining a task.
The device for determining the task of the embodiment of the invention comprises:
the combination unit is used for randomly combining the first quantity of picking tasks to obtain a plurality of combinations; wherein the number of picking tasks in each combination is a second number, the first number being greater than the second number;
the processing unit is used for determining the coincidence rate of the articles and the storage positions among the tasks in each combination according to the picking tasks in the combination;
the selecting unit is used for selecting a combination with the highest coincidence rate of the articles and the storage positions among the tasks as a target combination from the plurality of combinations;
and the merging unit is used for merging the picking tasks in the target combination to obtain the target task.
In one embodiment, the processing unit is to:
respectively determining the number of first storage positions and the number of first items according to the items to be picked included in each picking task in the combination and the storage positions to be picked of the items to be picked;
dividing the number of the first storage positions by the third number to obtain the storage position coincidence rate; dividing the number of the first articles by the third number to obtain an article coincidence rate;
taking the sum of the stock and item overlap rates as the item and stock overlap rate between tasks in the combination;
wherein the third number is the sum of the number of pickups included in each picking task in the combination.
In one embodiment, the processing unit is to:
if each picking task in the combination comprises the same storage position, determining the number of the same storage position as the number of the first storage position;
if the items picked from the first storage location according to each picking task in the combination are the same, determining the number of the same items as the number of the first items.
In one embodiment, the merging unit is configured to:
carrying out duplication elimination processing on the storage positions to be picked included in all picking tasks in the target combination to obtain a key storage position set, and generating a path according to the key storage position set;
determining the items to be picked of each key storage position in the key storage position set and the quantity of the items picked from each key storage position respectively according to the items to be picked, the quantity of the items to be picked and the storage positions of the items to be picked which are included in all picking tasks in the target combination;
targeting the path, and the number of items to be picked for each key bin in the set of key bins and the items picked from each key bin.
In one embodiment, the merging unit is configured to:
determining the arrangement sequence of each key storage position in the key storage position set according to the sequence of the distance between the key storage position and the picking initial position from short to long or the sequence of the distance between the key storage position and the picking initial position from long to short;
and generating the path according to the arrangement sequence of each key storage bit.
In one embodiment, the combining unit is configured to:
the order picking tasks belonging to the same packing operation executing party, the same rechecking operation executing party or the same sorting operation executing party are selected from the plurality of order picking tasks to be used as the order picking tasks of the first quantity.
In one embodiment, the pick task carries a task type;
the combination unit is used for:
selecting the picking tasks with the same task type from a plurality of picking tasks as a first number of picking tasks.
In one embodiment, the second number is the same as the user's task demand.
To achieve the above object, according to still another aspect of an embodiment of the present invention, there is provided an electronic apparatus.
An electronic device of an embodiment of the present invention includes: one or more processors; the storage device is used for storing one or more programs, and when the one or more programs are executed by the one or more processors, the one or more processors are enabled to realize the method for determining the task provided by the embodiment of the invention.
To achieve the above object, according to still another aspect of an embodiment of the present invention, there is provided a computer-readable medium.
A computer-readable medium of an embodiment of the present invention stores thereon a computer program, which when executed by a processor implements the method for determining a task provided by an embodiment of the present invention.
One embodiment of the above invention has the following advantages or benefits: randomly combining the first quantity of picking tasks to obtain a plurality of combinations; wherein the number of picking tasks in each combination is a second number, the first number being greater than the second number; for each combination, determining item and storage coincidence rates between tasks in the combination according to the picking tasks in the combination; selecting a combination with the highest coincidence rate of the articles and the storage positions among the tasks as a target combination from the plurality of combinations; and combining the picking tasks in the target combination to obtain a target task. The goods picking tasks with the highest coincidence rate of the goods and the storage positions are combined, and a user completes the combined target tasks at one time, so that the time consumed by the user for completing the goods picking tasks is reduced, the distance required by the user to walk is shortened, and the goods picking efficiency is improved.
Further effects of the above-mentioned non-conventional alternatives will be described below in connection with the embodiments.
Drawings
The drawings are included to provide a better understanding of the invention and are not to be construed as unduly limiting the invention. Wherein:
FIG. 1 is an example of a prior art method of determining a task;
FIG. 2 is an example of a path in a prior method of determining a task;
FIG. 3 is a schematic diagram of a main flow of a method of determining tasks according to an embodiment of the invention;
FIG. 4 is an example of task types in a method of determining tasks according to an embodiment of the invention;
FIG. 5 is an example of a user's task demand in a method of determining tasks according to an embodiment of the invention;
FIG. 6 is an example of a method of determining tasks according to another embodiment of the invention;
FIG. 7 is an example of a path in a method of determining a task according to another embodiment of the invention;
FIG. 8 is a schematic diagram of the main elements of an apparatus for determining tasks according to an embodiment of the invention;
FIG. 9 is an exemplary system architecture diagram in which embodiments of the present invention may be employed;
fig. 10 is a schematic block diagram of a computer system suitable for use in implementing a terminal device or server according to an embodiment of the present invention.
Detailed Description
Exemplary embodiments of the present invention are described below with reference to the accompanying drawings, in which various details of embodiments of the invention are included to assist understanding, and which are to be considered as merely exemplary. Accordingly, those of ordinary skill in the art will recognize that various changes and modifications of the embodiments described herein can be made without departing from the scope and spirit of the invention. Also, descriptions of well-known functions and constructions are omitted in the following description for clarity and conciseness.
It should be noted that the embodiments and features of the embodiments may be combined with each other without conflict.
In order to solve the problems in the prior art, an embodiment of the present invention provides a method for determining a task, as shown in fig. 3, the method including:
s301, randomly combining a first number of picking tasks to obtain a plurality of combinations; wherein the number of picking tasks in each combination is a second number, the first number being greater than the second number.
This step is illustrated below with a specific example: the first number of pick tasks includes: a picking task 1, a picking task 2, a picking task 3 and a picking task 4. The second number is 3.
And randomly selecting 3 picking tasks from the picking task 1, the picking task 2, the picking task 3 and the picking task 4 as a combination to obtain a combination 1, a combination 2, a combination 3 and a combination 4.
Wherein combination 1 comprises: a picking task 1, a picking task 2 and a picking task 3; the combination 2 comprises: a picking task 1, a picking task 2 and a picking task 4; the combination 3 comprises: a picking task 1, a picking task 3 and a picking task 4; the combination 4 comprises: a pick-up task 2, a pick-up task 3 and a pick-up task 4.
And S302, determining the coincidence rate of the items and the storage positions among the tasks in each combination according to the picking tasks in the combination.
In this step, a picking task may be generated according to one order or multiple orders. The order picking task comprises the items to be picked, the number of the items to be picked and the storage positions of the items to be picked. The picking storage position of the goods to be picked can be determined according to the quantity of the goods to be picked and the inventory of the warehouse, and the determination principle comprises the following steps: existing first-in first-out principles or existing scattered inventory zeroing principles.
In addition, the detailed implementation of this step is described in detail below, and is not described herein again.
Step S303, selecting the combination with the highest coincidence rate of the article and the storage position between tasks as a target combination.
In the step, in concrete implementation, the coincidence rates of the articles and the storage positions among the tasks in all the combinations are sorted from large to small, and the combination ranked first is taken as a target combination. Or sorting the coincidence rates of the articles and the storage positions among the tasks in all the combinations in the order from small to large, and taking the combination ranked at the last position as a target combination.
And step S304, merging the picking tasks in the target combination to obtain a target task.
It should be noted that the specific implementation of this step is described in detail below, and is not described herein again.
The process of assigning a first number of picking tasks is described below as a specific example:
the first number of picking tasks includes 4 different picking tasks. The task demand of user a is 3. 4 different picking tasks are combined randomly to obtain 4 combinations; the number of picking tasks in each combination is 3. For each combination, determining item and storage coincidence rates between tasks in the combination according to the picking tasks in the combination; selecting a combination with the highest coincidence rate of the articles and the storage positions among the tasks as a target combination from the plurality of combinations; and merging the picking tasks in the target combination to obtain a target task 1, and distributing the target task 1 to the user a. Since the number of picking tasks in the target combination is 3, only one picking task is left after the target task 1 is assigned to the user a, and the one picking task is assigned to other users.
It should be understood that if the first number is larger, 10 picking tasks remain after the target task 1 is allocated to the user a, and then the 10 picking tasks are arbitrarily combined to obtain a plurality of combinations; the number of pick tasks in each combination is the task demand of user b (the task demand of user b may be 5). For each combination, determining item and storage coincidence rates between tasks in the combination according to the picking tasks in the combination; selecting a combination with the highest coincidence rate of the articles and the storage positions among the tasks as a target combination from the plurality of combinations; and merging the picking tasks in the target combination to obtain a target task 2, and distributing the target task 2 to the user b.
Tasks are continually assigned according to the above process until the first number of picking tasks are assigned.
In an embodiment of the present invention, determining the item and bin coincidence rate between the tasks in the group according to the picking task in the group comprises:
respectively determining the number of first storage positions and the number of first items according to the items to be picked included in each picking task in the combination and the storage positions to be picked of the items to be picked;
dividing the number of the first storage positions by the third number to obtain the storage position coincidence rate; dividing the number of the first articles by the third number to obtain an article coincidence rate;
taking the sum of the stock and item overlap rates as the item and stock overlap rate between tasks in the combination;
wherein the third number is the sum of the number of pickups included in each picking task in the combination.
In this embodiment, the process of obtaining the coincidence of the item and the bin between the tasks in the combination is described below as a specific example: the number of first bins is 5, the number of first items is 6, the third number is 20, and the item-to-bin coincidence between the tasks in the group is 5/20+6/20 is 0.55.
The process of obtaining the item-to-bin coincidence between the tasks in the combination is described below in another specific example: the number of first bins is 5, the number of first items is 6, the third number is 20, and the item-to-bin coincidence between tasks in the combination ((5+6) × 100%)/20 is 55%.
In the embodiment, the coincidence rate of the articles and the storage positions among the tasks in the combination is determined through the articles to be picked and the storage positions of the articles to be picked which are included in each picking task in the combination, so that a plurality of picking tasks with the highest coincidence rate of the articles and the storage positions are merged, a user completes the merged target task at one time, the time consumed by the user for completing the plurality of picking tasks is further reduced, the distance required by the user for walking is further shortened, and the picking efficiency is further improved.
In an embodiment of the present invention, determining the number of first storage locations and the number of first items respectively according to the items to be picked included in each picking task in the combination and the storage locations to be picked of the items to be picked comprises:
if each picking task in the combination comprises the same storage position, determining the number of the same storage position as the number of the first storage position;
if the items picked from the first storage location according to each picking task in the combination are the same, determining the number of the same items as the number of the first items.
In the embodiment, the coincidence rate of the articles and the storage positions among the tasks in the combination is determined through the same storage position and the same articles picked from the first storage position, so that a plurality of picking tasks with the highest coincidence rate of the articles and the storage positions are combined, and one user completes the combined target task at one time, thereby further reducing the time consumed by the user for completing the plurality of picking tasks, further shortening the distance required by the user to walk, and further improving the picking efficiency.
In the embodiment of the invention, the merging of the picking tasks in the target combination to obtain the target task comprises the following steps:
carrying out duplication elimination processing on the storage positions to be picked included in all picking tasks in the target combination to obtain a key storage position set, and generating a path according to the key storage position set;
determining the items to be picked of each key storage position in the key storage position set and the quantity of the items picked from each key storage position respectively according to the items to be picked, the quantity of the items to be picked and the storage positions of the items to be picked which are included in all picking tasks in the target combination;
targeting the path, and the number of items to be picked for each key bin in the set of key bins and the items picked from each key bin.
This embodiment is illustrated below in a specific example:
all picking tasks in the target combination include: a pick-up task 1, a pick-up task 2 and a pick-up task 3.
The picking task 1 includes: the sorting machine comprises articles a to be sorted, a storage position 1 to be sorted and a storage position 2 to be sorted, wherein the number of the articles a to be sorted from the storage position 1 to be sorted is 1, and the number of the articles a to be sorted from the storage position 2 to be sorted is 2.
The picking task 2 includes: the number of the articles b to be sorted is 3, and the articles b to be sorted are sorted from the storage positions 1 to be sorted; the number of the articles a to be sorted, the storage position 2 to be sorted and the articles a to be sorted from the storage position 2 to be sorted are 4.
The picking task 3 includes: the sorting machine comprises articles a to be sorted, a storage position 2 to be sorted and a storage position 3 to be sorted, wherein the number of the articles a to be sorted from the storage position 2 to be sorted is 5, and the number of the articles a to be sorted from the storage position 3 to be sorted is 6.
The storage position to be picked that the task of picking 1 includes, the task of picking 2 includes and the task of picking 3 includes are carried out the duplicate removal and are handled, obtain key storage position set, and key storage position set includes: a storage position 1 to be sorted, a storage position 2 to be sorted and a storage position 3 to be sorted. The arrangement sequence of the storage positions from front to back is as follows: a storage position 1 to be sorted, a storage position 2 to be sorted and a storage position 3 to be sorted. Thus, the path includes: a storage position 1 to be sorted, a storage position 2 to be sorted and a storage position 3 to be sorted.
The article to be sorted of the storage position 1 to be sorted comprises: an article a to be picked and an article b to be picked. The quantity of the articles a to be sorted is 1 and the quantity of the articles b to be sorted is 3 when the articles a to be sorted are sorted from the storage position 1 to be sorted.
The items to be sorted in the storage position 2 to be sorted comprise: and (5) articles a to be picked. The number of the articles a to be sorted is 11(11 ═ 2+4+5) sorted from the storage position 2 to be sorted.
The goods to be sorted in the storage position 3 to be sorted comprise: and (5) articles a to be picked. The quantity of the articles a to be sorted is 6 when the articles a to be sorted are sorted from the storage position 3 to be sorted.
The path, the storage location 1 to be sorted, the storage location 2 to be sorted and the storage location 3 to be sorted are determined as the target tasks.
In the embodiment, the storage positions to be picked included by all the picking tasks in the target combination are subjected to duplication removal processing, and the number of the articles to be picked is combined, so that the time consumed by a user for completing a plurality of picking tasks is further reduced, the distance required by the user to walk is further shortened, and the picking efficiency is further improved.
In this embodiment of the present invention, generating a path according to the key bin set includes:
determining the arrangement sequence of each key storage position in the key storage position set according to the sequence of the distance between the key storage position and the picking initial position from short to long or the sequence of the distance between the key storage position and the picking initial position from long to short;
and generating the path according to the arrangement sequence of each key storage bit.
In this embodiment, it should be noted that if the distance between one key storage location and the pick-up initial position is equal to the distance between another key storage location and the pick-up initial position, the key storage location may be arranged in front of the another key storage location or arranged behind the another key storage location. In addition, the pick-up home position is typically set as a warehouse entrance or a warehouse exit. Therefore, the distance that the user needs to walk is short, and the goods picking efficiency is improved.
In an embodiment of the present invention, a method of obtaining a first number of picking tasks includes:
the order picking tasks belonging to the same packing operation executing party, the same rechecking operation executing party or the same sorting operation executing party are selected from the plurality of order picking tasks to be used as the order picking tasks of the first quantity.
In this embodiment, each picking task has a unique packing operation executing party (the executing party may be a packing table), a rechecking operation executing party (the executing party may be a rechecking person) and a sorting operation executing party (the executing party may be a sorting person). Checking the sorted articles to be sorted and the number of the sorted articles to be sorted, sorting and packaging in sequence, and taking the articles out of the warehouse after packaging.
This embodiment is illustrated below in a specific example: the first 50 picking tasks belong to the first rechecking operation executing party, and are continuously distributed to each user according to the embodiment shown in fig. 3 as the first number of picking tasks until the first 50 picking tasks are distributed. The last 50 picking tasks belong to the second rechecking operation executing party, and the last 50 picking tasks are also used as the first quantity picking tasks and are continuously distributed to the users according to the embodiment shown in the figure 3 until the last 50 picking tasks are distributed. The first execution party belongs to the double check operation execution party and the second execution party belongs to the double check operation execution party.
In this embodiment, the picking tasks belonging to the same packing operation executing party, the same reviewing operation executing party, or the same sorting operation executing party are selected from the plurality of picking tasks as the first number of picking tasks. Thereby shortening the walking distance of the user and further improving the goods picking efficiency.
In the embodiment of the invention, the picking task carries the task type;
a method of acquiring a first number of picking tasks, comprising:
selecting the picking tasks with the same task type from a plurality of picking tasks as a first number of picking tasks.
In this embodiment, the special picking tasks and the general picking tasks are generally distributed separately, the special picking tasks can be combined with each other, the general picking tasks can be combined with each other, and the special picking tasks and the general picking tasks cannot be combined with each other. This is so because, if the special picking task is combined with the general picking task, damage may be caused to the items to be picked included in the special picking task at the time of picking.
As shown in fig. 4, the following description is made with a specific example:
the special task 01 supports the same type of combination and also supports the cross type of combination;
the common task 02 does not support the same type of combination and does not support the cross type combination;
the special task 03 supports the same type of combination and also supports the cross-type combination;
the special task 04 supports the same type of combination and also supports the cross type of combination;
the special task 05 supports the same type of combination and does not support the cross type combination.
Thus, the special task 01, the special task 03, and the special task 04 are selected as the first number of pick tasks from the special task 01, the general task 02, the special task 03, the special task 04, and the special task 05. The general task 02 can be directly assigned to the user since it does not support composition. The special tasks 05 may constitute a first number of picking tasks with tasks that support the same type of combination and do not support cross-type combinations.
The specific tasks and general tasks are described below as a specific example: the task involving packaging delicate items to be picked is a special task, and the task involving packaging ordinary items to be picked is an ordinary task.
It should be understood that a person skilled in the art may set the type of task according to the conditions of the picking task itself without affecting the embodiments of the invention. For example, the types of tasks that are set to include seafood are: the same type combination is supported, and the cross type combination is not supported; the types of tasks that set up the inclusion of toothpaste are: the same type combination is supported, and the cross type combination is also supported.
In this embodiment, from among the plurality of picking tasks, picking tasks of the same type of picking task are selected as the first number of picking tasks. Therefore, different picking tasks are respectively completed according to the task types, the damage degree of the articles to be picked is reduced, and the picking quality is improved.
In an embodiment of the present invention, the second number is the same as the task demand of the user.
In this embodiment, the user's task requirements are referenced to the number of pick containers and the total number of users. When the number of the picking containers is small, the task demand of the user is high; when the number of picking containers is large, the task demand of the user is small. When the total number of the users is more, the task demand of each user is less; when the total number of users is small, the task demand of each user is large. Thus, the balance of task allocation is ensured.
It will be appreciated that the precondition for the second number to be the same as the user's demand is that the total number of tasks is sufficiently large. If the total number of tasks is not large, the second number should be reduced. Thus, the balance of task allocation is ensured.
As shown in fig. 5, the user's task demand is 6. It should be noted that the larger the task demand of the user is, the lower the coincidence rate of the articles and the storage positions between the tasks in each combination is, and the fewer items can be merged when the picking tasks in the target combination are merged. Thus, the task demand of the user is not too large.
In the embodiment, the number of the tasks distributed to the user is the same as the task demand of the user, so that the experience degree of the user is improved.
In order to solve the problems in the prior art, another embodiment of the present invention provides a method for determining a task.
In this embodiment, the first number of pick tasks includes pick task 1, pick task 3, and pick task 5. From the order picking task 1, the order picking task 3, and the order picking task 5, 2 order picking tasks are arbitrarily taken as one combination, thereby obtaining a combination 1, a combination 2, and a combination 3.
The combination 1 comprises: a picking task 1 and a picking task 3;
the combination 2 comprises: a picking task 3 and a picking task 5;
the combination 3 comprises: pick up task 1 and pick up task 5.
The picking task 1 includes the items to be picked (the picking task 1 includes 5 items to be picked) and the storage positions to be picked of the items to be picked are as follows:
article A, 001 storage position and 002 storage position;
article B, 003 stock position, 004 stock position;
article C, 005 storage site, 006 storage site;
article D, 007 reserve position, 008 reserve position;
e, article 009 stores bit and 010 stores bit.
The picking task 3 includes the items to be picked (the picking task 3 includes 3 items to be picked) and the picking positions of the items to be picked are as follows:
c, article 002, 003 and 004;
item D, 005 reservoir, 006 reservoir, 007 reservoir;
g article, 013 stock, 014 stock, 015 stock and 016 stock.
The picking tasks 5 include the items to be picked (the picking tasks 5 include 3 items to be picked) and the picking positions of the items to be picked are as follows:
c, object, 001 storage position, 002 storage position, 009 storage position, 010 storage position;
item H, 021 stock, 022 stock;
l items, 023 stock positions and 024 stock positions.
The picking task 1 and the picking task 3 in the combination 1 each include: 002 reservoir, 003 reservoir, 004 reservoir, 005 reservoir, 006 reservoir and 007 reservoir. Thus, the number of first bins of combination 1 is 6. The items picked from the 007 storage location according to the picking task 1 in the combination 1 are D items, and the items picked from the 007 storage location according to the picking task 3 in the combination 1 are also D items. But the items picked from the other first bins are not the same for each picking task in combination 1. Thus, the number of first articles of combination 1 is 1.
The picking order 1 in combination 1 comprises a number of pickups of 10 and the picking order 3 in combination 1 comprises a number of pickups of 10. Thus, the third number of combination 1 is 10+ 10-20, and the coincidence of the article and the reserve between the tasks in combination 1 is (6+1)/20 is 0.35.
The picking tasks 3 and 5 in the combination 2 each include: and (002) storing. Thus, the number of first bins of group 2 is 1. The items picked from the 002 bin according to the picking task 3 in the group 2 are C items, and the items picked from the 002 bin according to the picking task 5 in the group 2 are also C items. Thus, the number of first articles of group 2 is 1.
The picking order 3 in the group 2 comprises a number of places to be picked of 10 and the picking order 5 in the group 2 comprises a number of places to be picked of 8. Thus, the third number of group 2 is 10+8 is 18, and the coincidence of the article and the reserve between the tasks in group 2 is (1+1)/18 is 0.11.
The picking task 1 and the picking task 5 in the combination 3 each include: 001 reserve bit, 002 reserve bit, 009 reserve bit and 010 reserve bit. Thus, the number of first bins of group 3 is 4. Items picked from the 001 level according to the picking task 1 in the group 3 are different from items picked from the 001 level according to the picking task 5 in the group 3, items picked from the 002 level according to the picking task 1 in the group 3 are different from items picked from the 002 level according to the picking task 5 in the group 3, items picked from the 009 level according to the picking task 1 in the group 3 are different from items picked from the 009 level according to the picking task 5 in the group 3, and items picked from the 010 level according to the picking task 1 in the group 3 are different from items picked from the 010 level according to the picking task 5 in the group 3. Thus, the number of first articles of group 3 is 0.
The picking order 1 in the group 3 comprises a number of pickups of 10 and the picking order 5 in the group 3 comprises a number of pickups of 8. Thus, the third number of the group 3 is 10+8 is 18, and the coincidence of the article and the reserve between the tasks in the group 3 is (4+0)/18 is 0.22.
The item-to-reservoir coincidence between tasks in group 1 was 0.35, the item-to-reservoir coincidence between tasks in group 2 was 0.11, and the item-to-reservoir coincidence between tasks in group 3 was 0.22. Thus, the item-to-bin coincidence between tasks in combination 1 is highest. As shown in fig. 6, the picking task 1 and the picking task 3 in the combination 1 are merged to obtain the target task, and the target task is distributed to the user 1. The picking task 5 is assigned to the user 3. In addition, the storage position to be picked included in the picking task 1, the storage position to be picked included in the picking task 3 and the storage position to be picked included in the picking task 5 are all located in the storage area 1.
Before the picking task 1 and the picking task 3 are combined, the picking task 1 comprises the sorting of the storage positions to be picked: 001 reserve position, 002 reserve position, 003 reserve position, 004 reserve position, 005 reserve position, 006 reserve position, 007 reserve position, 008 reserve position, 009 reserve position, 010 reserve position; sorting of the storage positions to be sorted, which the picking task 3 comprises: 002, 003, 004, 005, 006, 007, 013, 014, 015, 016; at this time, the initial stock level of the picking task 1 is 001 stock level, and the initial stock level of the picking task 3 is 002 stock level.
As shown in fig. 7, the storage positions to be picked included in the picking task 1 and the storage positions to be picked included in the picking task 3 are sorted according to the coding sequence of the storage positions and following the coding sequence of the lanes, and the sorting result is as follows: 001 reserve position, 002 reserve position, 003 reserve position, 004 reserve position, 005 reserve position, 006 reserve position, 007 reserve position, 008 reserve position, 009 reserve position, 010 reserve position, 013 reserve position, 014 reserve position, 015 reserve position, 016 reserve position. And taking the sequencing result as the path of the target task. After the picking task 1 and the picking task 3 are combined, the initial storage position of the target task is a 001 storage position, and the 002 storage position is used as an intermediate storage position.
The method of determining a task is described above in connection with fig. 3-7, and the apparatus for determining a task is described below in connection with fig. 8.
In order to solve the problems in the prior art, an embodiment of the present invention provides an apparatus for determining a task, as shown in fig. 8, the apparatus including:
a combination unit 801, configured to arbitrarily combine the first number of picking tasks to obtain a plurality of combinations; wherein the number of picking tasks in each combination is a second number, the first number being greater than the second number.
A processing unit 802 for determining, for each combination, item and bin coincidence between tasks in the combination according to the picking tasks in the combination.
A selecting unit 803, configured to select, as a target combination, a combination with the highest coincidence rate between the article and the storage space between the tasks from the plurality of combinations.
The merging unit 804 is configured to merge the picking tasks in the target combination to obtain a target task.
In this embodiment of the present invention, the processing unit 802 is configured to:
respectively determining the number of first storage positions and the number of first items according to the items to be picked included in each picking task in the combination and the storage positions to be picked of the items to be picked;
dividing the number of the first storage positions by the third number to obtain the storage position coincidence rate; dividing the number of the first articles by the third number to obtain an article coincidence rate;
taking the sum of the stock and item overlap rates as the item and stock overlap rate between tasks in the combination;
wherein the third number is the sum of the number of pickups included in each picking task in the combination.
In this embodiment of the present invention, the processing unit 802 is configured to:
if each picking task in the combination comprises the same storage position, determining the number of the same storage position as the number of the first storage position;
if the items picked from the first storage location according to each picking task in the combination are the same, determining the number of the same items as the number of the first items.
In this embodiment of the present invention, the merging unit 804 is configured to:
carrying out duplication elimination processing on the storage positions to be picked included in all picking tasks in the target combination to obtain a key storage position set, and generating a path according to the key storage position set;
determining the items to be picked of each key storage position in the key storage position set and the quantity of the items picked from each key storage position respectively according to the items to be picked, the quantity of the items to be picked and the storage positions of the items to be picked which are included in all picking tasks in the target combination;
targeting the path, and the number of items to be picked for each key bin in the set of key bins and the items picked from each key bin.
In this embodiment of the present invention, the merging unit 804 is configured to:
determining the arrangement sequence of each key storage position in the key storage position set according to the sequence of the distance between the key storage position and the picking initial position from short to long or the sequence of the distance between the key storage position and the picking initial position from long to short;
and generating the path according to the arrangement sequence of each key storage bit.
In the embodiment of the present invention, the combining unit 801 is configured to:
the order picking tasks belonging to the same packing operation executing party, the same rechecking operation executing party or the same sorting operation executing party are selected from the plurality of order picking tasks to be used as the order picking tasks of the first quantity.
In the embodiment of the invention, the picking task carries the task type;
the combination unit 801 is configured to:
selecting the picking tasks with the same task type from a plurality of picking tasks as a first number of picking tasks.
In an embodiment of the present invention, the second number is the same as the task demand of the user.
It should be understood that the functions performed by each component of the task determining apparatus provided in the embodiments of the present invention have been described in detail in the method for determining a task in the above embodiments, and are not described herein again.
Fig. 9 shows an exemplary system architecture 900 of a method of determining a task or a device for determining a task to which an embodiment of the invention may be applied.
As shown in fig. 9, the system architecture 900 may include end devices 901, 902, 903, a network 904, and a server 905. Network 904 is the medium used to provide communication links between terminal devices 901, 902, 903 and server 905. Network 904 may include various connection types, such as wired, wireless communication links, or fiber optic cables, to name a few.
A user may use the terminal devices 901, 902, 903 to interact with a server 905 over a network 904 to receive or send messages and the like. The terminal devices 901, 902, 903 may have installed thereon various messenger client applications such as, for example only, a shopping-like application, a web browser application, a search-like application, an instant messaging tool, a mailbox client, social platform software, etc.
The terminal devices 901, 902, 903 may be various electronic devices having a display screen and supporting web browsing, including but not limited to smart phones, tablet computers, laptop portable computers, desktop computers, and the like.
The server 905 may be a server providing various services, such as a background management server (for example only) providing support for shopping websites browsed by users using the terminal devices 901, 902, 903. The backend management server may analyze and perform other processing on the received data such as the product information query request, and feed back a processing result (for example, target push information, product information — just an example) to the terminal device.
It should be noted that the method for determining a task provided by the embodiment of the present invention is generally executed by the server 905, and accordingly, a device for determining a task is generally disposed in the server 905.
It should be understood that the number of terminal devices, networks, and servers in fig. 9 is merely illustrative. There may be any number of terminal devices, networks, and servers, as desired for implementation.
Referring now to FIG. 10, a block diagram of a computer system 1000 suitable for use with a terminal device implementing an embodiment of the invention is shown. The terminal device shown in fig. 10 is only an example, and should not bring any limitation to the functions and the scope of use of the embodiments of the present invention.
As shown in fig. 10, the computer system 1000 includes a Central Processing Unit (CPU)1001 that can perform various appropriate actions and processes according to a program stored in a Read Only Memory (ROM)1002 or a program loaded from a storage section 1008 into a Random Access Memory (RAM) 1003. In the RAM 1003, various programs and data necessary for the operation of the system 1000 are also stored. The CPU 1001, ROM 1002, and RAM 1003 are connected to each other via a bus 1004. An input/output (I/O) interface 1005 is also connected to bus 1004.
The following components are connected to the I/O interface 1005: an input section 1006 including a keyboard, a mouse, and the like; an output section 1007 including a display such as a Cathode Ray Tube (CRT), a Liquid Crystal Display (LCD), and the like, and a speaker; a storage portion 1008 including a hard disk and the like; and a communication section 1009 including a network interface card such as a LAN card, a modem, or the like. The communication section 1009 performs communication processing via a network such as the internet. The driver 1010 is also connected to the I/O interface 1005 as necessary. A removable medium 1011 such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, or the like is mounted on the drive 1010 as necessary, so that a computer program read out therefrom is mounted into the storage section 1008 as necessary.
In particular, according to the embodiments of the present disclosure, the processes described above with reference to the flowcharts may be implemented as computer software programs. For example, embodiments of the present disclosure include a computer program product comprising a computer program embodied on a computer readable medium, the computer program comprising program code for performing the method illustrated in the flow chart. In such an embodiment, the computer program may be downloaded and installed from a network through the communication part 1009 and/or installed from the removable medium 1011. The computer program executes the above-described functions defined in the system of the present invention when executed by the Central Processing Unit (CPU) 1001.
It should be noted that the computer readable medium shown in the present invention can be a computer readable signal medium or a computer readable storage medium or any combination of the two. A computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples of the computer readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the present invention, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. In the present invention, however, a computer readable signal medium may include a propagated data signal with computer readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to: wireless, wire, fiber optic cable, RF, etc., or any suitable combination of the foregoing.
The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present invention. In this regard, each block in the flowchart or block diagrams may represent a unit, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams or flowchart illustration, and combinations of blocks in the block diagrams or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
The units described in the embodiments of the present invention may be implemented by software or hardware. The described units may also be provided in a processor, and may be described as: a processor includes a combining unit, a processing unit, a selecting unit, and a merging unit. Where the names of these units do not in some way constitute a limitation of the units themselves, for example, the processing unit may also be described as a "unit for determining, for each combination, the item and bin coincidence between the tasks in the combination, depending on the picking task in the combination".
As another aspect, the present invention also provides a computer-readable medium that may be contained in the apparatus described in the above embodiments; or may be separate and not incorporated into the device. The computer readable medium carries one or more programs which, when executed by a device, cause the device to comprise: randomly combining the first quantity of picking tasks to obtain a plurality of combinations; wherein the number of picking tasks in each combination is a second number, the first number being greater than the second number; for each combination, determining item and storage coincidence rates between tasks in the combination according to the picking tasks in the combination; selecting a combination with the highest coincidence rate of the articles and the storage positions among the tasks as a target combination from the plurality of combinations; and combining the picking tasks in the target combination to obtain a target task.
According to the technical scheme of the embodiment of the invention, the picking tasks of the first quantity are combined randomly to obtain a plurality of combinations; wherein the number of picking tasks in each combination is a second number, the first number being greater than the second number; for each combination, determining item and storage coincidence rates between tasks in the combination according to the picking tasks in the combination; selecting a combination with the highest coincidence rate of the articles and the storage positions among the tasks as a target combination from the plurality of combinations; and combining the picking tasks in the target combination to obtain a target task. The goods picking tasks with the highest coincidence rate of the goods and the storage positions are combined, and a user completes the combined target tasks at one time, so that the time consumed by the user for completing the goods picking tasks is reduced, the distance required by the user to walk is shortened, and the goods picking efficiency is improved.
The above-described embodiments should not be construed as limiting the scope of the invention. Those skilled in the art will appreciate that various modifications, combinations, sub-combinations, and substitutions can occur, depending on design requirements and other factors. Any modification, equivalent replacement, and improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (11)
1. A method of determining a task, comprising:
randomly combining the first quantity of picking tasks to obtain a plurality of combinations; wherein the number of picking tasks in each combination is a second number, the first number being greater than the second number;
for each combination, determining item and storage coincidence rates between tasks in the combination according to the picking tasks in the combination;
selecting a combination with the highest coincidence rate of the articles and the storage positions among the tasks as a target combination from the plurality of combinations;
and combining the picking tasks in the target combination to obtain a target task.
2. The method of claim 1, wherein determining item and bin coincidence between tasks in the group based on picking tasks in the group comprises:
respectively determining the number of first storage positions and the number of first items according to the items to be picked included in each picking task in the combination and the storage positions to be picked of the items to be picked;
dividing the number of the first storage positions by the third number to obtain the storage position coincidence rate; dividing the number of the first articles by the third number to obtain an article coincidence rate;
taking the sum of the stock and item overlap rates as the item and stock overlap rate between tasks in the combination;
wherein the third number is the sum of the number of pickups included in each picking task in the combination.
3. Method according to claim 2, characterized in that determining the number of first storage locations and the number of first items, respectively, from the items to be picked and the storage locations of the items to be picked that each picking task in the group comprises, comprises:
if each picking task in the combination comprises the same storage position, determining the number of the same storage position as the number of the first storage position;
if the items picked from the first storage location according to each picking task in the combination are the same, determining the number of the same items as the number of the first items.
4. The method of claim 3, wherein merging picking tasks in the target combination to obtain the target task comprises:
carrying out duplication elimination processing on the storage positions to be picked included in all picking tasks in the target combination to obtain a key storage position set, and generating a path according to the key storage position set;
determining the items to be picked of each key storage position in the key storage position set and the quantity of the items picked from each key storage position respectively according to the items to be picked, the quantity of the items to be picked and the storage positions of the items to be picked which are included in all picking tasks in the target combination;
targeting the path, and the number of items to be picked for each key bin in the set of key bins and the items picked from each key bin.
5. The method of claim 4, wherein generating a path from the set of key bins comprises:
determining the arrangement sequence of each key storage position in the key storage position set according to the sequence of the distance between the key storage position and the picking initial position from short to long or the sequence of the distance between the key storage position and the picking initial position from long to short;
and generating the path according to the arrangement sequence of each key storage bit.
6. The method of claim 1, wherein the method of obtaining a first number of pick tasks comprises:
the order picking tasks belonging to the same packing operation executing party, the same rechecking operation executing party or the same sorting operation executing party are selected from the plurality of order picking tasks to be used as the order picking tasks of the first quantity.
7. The method of claim 1, wherein the pick task carries a task type;
a method of acquiring a first number of picking tasks, comprising:
selecting the picking tasks with the same task type from a plurality of picking tasks as a first number of picking tasks.
8. The method of claim 1, wherein the second number is the same as a task demand of the user.
9. An apparatus for determining a task, comprising:
the combination unit is used for randomly combining the first quantity of picking tasks to obtain a plurality of combinations; wherein the number of picking tasks in each combination is a second number, the first number being greater than the second number;
the processing unit is used for determining the coincidence rate of the articles and the storage positions among the tasks in each combination according to the picking tasks in the combination;
the selecting unit is used for selecting a combination with the highest coincidence rate of the articles and the storage positions among the tasks as a target combination from the plurality of combinations;
and the merging unit is used for merging the picking tasks in the target combination to obtain the target task.
10. An electronic device, comprising:
one or more processors;
a storage device for storing one or more programs,
when executed by the one or more processors, cause the one or more processors to implement the method of any one of claims 1-8.
11. A computer-readable medium, on which a computer program is stored, which, when being executed by a processor, carries out the method according to any one of claims 1-8.
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Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109118137A (en) * | 2018-08-01 | 2019-01-01 | 北京极智嘉科技有限公司 | A kind of order processing method, apparatus, server and storage medium |
| CN109583624A (en) * | 2018-10-18 | 2019-04-05 | 心怡科技股份有限公司 | A kind of combination similarity algorithm and genetic algorithm seek package optimal combination algorithm |
| WO2019223703A1 (en) * | 2018-05-21 | 2019-11-28 | 北京极智嘉科技有限公司 | Order processing method and device, server, and storage medium |
Family Cites Families (3)
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| EP3241107B1 (en) * | 2015-02-12 | 2023-04-05 | Zebra Technologies Corporation | System and method using robots to assist humans in order fulfillment |
| CN109242184B (en) * | 2018-09-06 | 2022-03-22 | 泉州装备制造研究所 | Order picking optimization method based on hierarchical clustering |
| CN109872107A (en) * | 2019-02-19 | 2019-06-11 | 杭州米阳信息技术有限公司 | Picking method for optimizing route and system |
-
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2019223703A1 (en) * | 2018-05-21 | 2019-11-28 | 北京极智嘉科技有限公司 | Order processing method and device, server, and storage medium |
| CN109118137A (en) * | 2018-08-01 | 2019-01-01 | 北京极智嘉科技有限公司 | A kind of order processing method, apparatus, server and storage medium |
| CN109583624A (en) * | 2018-10-18 | 2019-04-05 | 心怡科技股份有限公司 | A kind of combination similarity algorithm and genetic algorithm seek package optimal combination algorithm |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113780647A (en) * | 2021-09-02 | 2021-12-10 | 杭州拼便宜网络科技有限公司 | Goods taking position configuration method, device, equipment and storage medium |
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