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Task combination method and device and data processing method and device

A technology of task data and combination method, which is applied in the computer field, can solve the problems of heavy manual operation tasks, difficult to control production balance, and large workload of group orders, so as to improve the efficiency of task combination, reduce the difficulty of task combination, and ensure balance and stability The effect of production

Pending Publication Date: 2020-09-29
BEIJING JINGDONG ZHENSHI INFORMATION TECH CO LTD
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] (1) It requires skilled and knowledgeable employees to operate, which is difficult to operate and difficult to control production balance;
[0005] (2) The workload of grouping is heavy, the manual operation tasks are heavy and the efficiency is low

Method used

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  • Task combination method and device and data processing method and device
  • Task combination method and device and data processing method and device
  • Task combination method and device and data processing method and device

Examples

Experimental program
Comparison scheme
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Embodiment 1

[0064] In Example 1, there are 10 pieces of task data in the task pool of warehouse A, which are respectively task 1-task 10. The initial task sets obtained after splitting these task data are: initial task set 1 and initial task set 2. Task set 1 = {task 1, task 2, task 4, task 5, task 8}, initial task set 2 = {task 3, task 6, task 7, task 9, task 10}.

[0065] Step S204: Select task data from the initial task set according to the combined constraints to generate at least one set of optimization task sets corresponding to the initial task set. Each picking trolley is set with a maximum cargo volume and a maximum cargo weight. In this step, a basic task is selected from each initial task set. If the task data of the basic task satisfies the combined constraint conditions, that is, the cargo volume corresponding to the basic task does not exceed the set maximum cargo volume, and the cargo weight does not exceed the set maximum cargo volume. Then select the next task from the i...

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Abstract

The invention discloses a task combination method and device and a data processing method and device, and relates to the technical field of computers. One specific embodiment of the method comprises the steps of splitting task data of a task pool according to a task combination rule to obtain at least one initial task set; according to a preset combination constraint condition, selecting task datafrom the initial task set to generate at least one group of optimization task set corresponding to the initial task set; and determining an optimization task set meeting a pre-established target function, and taking the optimization task set meeting the target function as a final task set. In the method, a task combination rule and a combination constraint condition are configured in advance; thetask data in the task pool is combined and split, and then the final task set can be obtained by combining the target function, so that automatic combination of tasks is realized, the task combination difficulty is reduced, and the task combination efficiency is improved on the premise of meeting the task combination flexibility.

Description

technical field [0001] The invention relates to the computer field, in particular to a task combination method, a data processing method and a device. Background technique [0002] With the development of e-commerce, more and more users conduct transactions through the e-commerce platform, and the e-commerce platform will receive a large number of order tasks from users every day. Although the order placed by the user is random, the outbound delivery of the order has a certain time pattern, which is the shift of the logistics company to pick up the goods. In order to ensure the timeliness of order delivery, it is necessary to produce as many orders as possible before the shift of the pickup vehicle, so as to catch up with the shift of the pickup vehicle. In order to meet the above needs, most warehouses currently adopt the method of manual order assembly to flexibly control the pace of order production and meet various emergencies on site. [0003] In the course of realizi...

Claims

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Application Information

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IPC IPC(8): G06Q10/06G06Q10/08
CPCG06Q10/06311G06Q10/083
Inventor 郭波
Owner BEIJING JINGDONG ZHENSHI INFORMATION TECH CO LTD