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An intelligent warehouse management system based on SOA and a genetic algorithm

A genetic algorithm and intelligent warehousing technology, applied in computing, data processing applications, computer components, etc., can solve problems such as low scalability, low portability, and inability to adapt quickly, so as to save management expenses and improve maintainability , the effect of improving usability

Pending Publication Date: 2019-04-26
成都电科智联科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] For WMS developed using traditional frameworks, its shortcomings such as low scalability and low portability due to the high coupling of functional modules between systems obviously cannot quickly adapt to changes in current enterprise needs.

Method used

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  • An intelligent warehouse management system based on SOA and a genetic algorithm
  • An intelligent warehouse management system based on SOA and a genetic algorithm
  • An intelligent warehouse management system based on SOA and a genetic algorithm

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Embodiment Construction

[0038] The following will be combined with Figure 1-Figure 3 The present invention is described in detail, and the technical solutions in the embodiments of the present invention are clearly and completely described. Apparently, the described embodiments are only some of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0039] The present invention provides an intelligent warehouse management system based on SOA and genetic algorithm through improvement. In the overall system, the system function modules mainly include;

[0040] (1) Basic information module: used for addition, deletion, modification and inquiry of forklift information management, addition, deletion, modification and inquiry of shelf location information, and addition, deletion, modification...

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Abstract

The invention discloses an intelligent warehouse management system based on SOA and a genetic algorithm. The system mainly comprises (1) a basic information module; (2) a warehousing module; (3) a warehouse-out module; (4) a checking module; According to the system, the working efficiency of enterprise warehouse workers is greatly improved, and the defects that output and storage processes are tedious and messy, and the period is long are greatly reduced; Besides, based on comprehensive automation of enterprise warehouse management, vulnerabilities in warehouse-in management, warehouse-out management and inventory management can be reduced, a lot of management expenses can be saved, and enterprise income is increased; In addition, operation automation of warehouse management and information electronization comprehensively improve the warehouse management level of enterprises.

Description

technical field [0001] The invention relates to the field of intelligent warehouse management, specifically an intelligent warehouse management system based on SOA and a genetic algorithm, which uses the genetic algorithm to optimize the scheduling problem of inbound and outbound tasks. Background technique [0002] Warehouse management is an important part of enterprise management, with distinctive features: the amount of information processing is relatively large, and there are many types of products to be managed. Large, there is a lot of data information that needs to be associated. At the same time, due to the different query and statistical methods of each product, it is very difficult to implement in management. It is easy to cause confusion and duplication of information in the management process, various types of documents and reports, and unified planning and management of various departments. Therefore, it is very important for enterprises to do a good job in war...

Claims

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Application Information

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IPC IPC(8): G06Q10/10G06Q10/08G06K17/00
CPCG06K17/00G06Q10/0875G06Q10/103
Inventor 张凌涵
Owner 成都电科智联科技有限公司
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