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Warehouse storage location allocation method and system based on big data

A technology of big data and big data platform, applied in the field of warehouse management, can solve problems such as unreasonable allocation of warehouse storage space and low picking efficiency

Inactive Publication Date: 2020-07-31
SHANGHAI MININGLAMP ARTIFICIAL INTELLIGENCE GRP CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The embodiment of the present invention provides a warehouse storage location allocation method and system based on big data to at least solve the problem of low picking efficiency caused by unreasonable warehouse storage location allocation in the related art

Method used

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  • Warehouse storage location allocation method and system based on big data
  • Warehouse storage location allocation method and system based on big data
  • Warehouse storage location allocation method and system based on big data

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Embodiment 1

[0025] In this embodiment, a warehouse storage location allocation method based on big data is provided, figure 1 is a flow chart of a method according to an embodiment of the present invention, such as figure 1 As shown, the process includes the following steps:

[0026] Step S102, the big data platform predicts the quantity of incoming orders within a predetermined period according to historical order information;

[0027] Step S104, the big data platform divides the warehouse space into different types of storage areas according to the predicted quantity of incoming orders, and plans the number and placement of shelves in each storage area;

[0028] Step S106, the optimization platform groups the inbound goods according to the degree of correlation between the inbound goods;

[0029] Step S108, the optimization platform allocates shelf storage space for the incoming goods in the corresponding storage area according to the strategy of centralized placement of the same grou...

Embodiment 2

[0035] In order to facilitate the understanding of the technical solution provided by the present invention, a specific embodiment will be described in detail below.

[0036] In the warehouse of the logistics distribution center, there are many kinds of goods. Even if the orders are combined and picked, it often happens that each shelf carried by the robot contains only one kind of goods in the order.

[0037] Moreover, the goods in the warehouse are highly mobile and unstable. Moreover, the goods are greatly affected by seasons and holidays, so it is not easy to grasp.

[0038] In addition, the number of shelves handled by robots in the warehouse is large, and the waste of energy resources is very serious. Secondly, the warehouse space is limited, and the movement of multiple robots tends to increase the frequency of occupation and waste time.

[0039] to this end, figure 2 It shows a warehouse storage location optimization allocation method based on big data, such as f...

Embodiment 3

[0063] This embodiment also provides a big data-based warehouse storage location allocation system. The device is used to implement the above embodiments and preferred implementation modes, and those that have already been described will not be described in detail. The term "module" as used below may be a combination of software and / or hardware that realizes a predetermined function. Although the devices described in the following embodiments are preferably implemented in software, implementations in hardware, or a combination of software and hardware are also possible and contemplated.

[0064] Figure 4 It is a schematic structural diagram of a warehouse storage allocation system based on big data according to an embodiment of the present invention, as shown in Figure 4 As shown, the system includes a big data platform 10 and an optimization platform 20.

[0065] The big data platform 10 is used to predict the amount of incoming orders within a predetermined period accord...

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Abstract

The invention provides a warehouse storage location allocation method based on big data. The method comprises the steps that a big data platform predicts the warehousing order quantity in a predetermined period according to historical order information; the big data platform divides the warehouse space into different types of storage areas according to the predicted warehousing order quantity, andplans the shelf number and the placement position of each storage area; an optimization platform groups the warehoused goods according to the association degree between the warehoused goods; and theoptimization platform performs shelf storage location allocation on the warehoused goods in the corresponding storage areas according to the strategy of centralized placement of the goods in the samegroup. According to the invention, the big data platform is adopted to predict the warehousing order quantity in the predetermined period so as to carry out warehouse storage location allocation, at least the problem of unreasonable warehouse storage location allocation in the related technology is solved, and thus the order picking efficiency and the warehouse utilization rate are improved.

Description

technical field [0001] The invention relates to the field of warehouse management, in particular to a method and system for allocating warehouse storage locations based on big data. Background technique [0002] With the development of science and technology, the modern intelligent logistics warehousing system has attracted the attention of modern enterprises because of its large storage scale, advanced machinery and equipment, and high degree of informatization. The traditional logistics distribution center warehouse adopts a manual picking mode based on "people arrive at the goods", that is, artificially matching goods and space conditions, which can no longer meet the needs of modern logistics distribution center storage to a certain extent. The intelligent warehouse system based on "goods to person" came into being. [0003] In the "goods-to-person" warehouse system, the items are placed on movable shelves, and the pickers are in front of the fixed picking workbench, an...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q10/08
CPCG06Q10/04G06Q10/087
Inventor 李芳媛
Owner SHANGHAI MININGLAMP ARTIFICIAL INTELLIGENCE GRP CO LTD
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