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Genetic algorithm-based automatic stereoscopic warehouse goods allocation optimization method

A three-dimensional warehouse and space allocation technology, applied in genetic rules, constraint-based CAD, design optimization/simulation, etc., can solve the problems of low spatial aggregation of related products, low handling efficiency, poor shelf stability, etc., and achieve wide application The effect of reducing the handling time and lowering the center of gravity of the shelf

Active Publication Date: 2022-04-29
CHANGCHUN UNIV OF TECH
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Problems solved by technology

[0005] The present invention provides a genetic algorithm-based optimization method for cargo space allocation in an automated three-dimensional warehouse, which can improve handling efficiency, accelerate convergence speed, and make cargo space allocation more reasonable, thereby ensuring the effectiveness and practicability of cargo space allocation optimization, and solving the problem of Solve the problems of low handling efficiency, poor shelf stability and low spatial aggregation of related products in the existing automated three-dimensional warehouse location allocation method

Method used

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  • Genetic algorithm-based automatic stereoscopic warehouse goods allocation optimization method
  • Genetic algorithm-based automatic stereoscopic warehouse goods allocation optimization method
  • Genetic algorithm-based automatic stereoscopic warehouse goods allocation optimization method

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Embodiment

[0129] Taking the automatic three-dimensional warehouse of a certain auto parts manufacturing enterprise as an example below, the practical application of the present invention will be further explained.

[0130] First, analyze and process the historical order information of the automated three-dimensional warehouse to obtain the basic component information for cargo location optimization:

[0131] The basic data of the shelves in the automated three-dimensional warehouse of auto parts enterprises are shown in Table 1.

[0132] Table 1 Basic Data of Auto Parts Enterprise Automated Stereoscopic Warehouse Shelves

[0133]

[0134] Attributes such as type, quality, storage frequency and initial coordinates of parts are shown in Table 2.

[0135] Table 2 Basic data of components

[0136]

[0137] In order to analyze the optimization effect of the objective function, each objective function is simulated through the improved genetic algorithm to verify the effectiveness of e...

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Abstract

The invention relates to the technical field of automatic stereoscopic warehouse storage, in particular to an automatic stereoscopic warehouse goods allocation optimization method based on a genetic algorithm. The method comprises the following steps: firstly, obtaining warehouse-in and warehouse-out frequency of goods according to historical order information of parts, and establishing a mathematical model for reducing warehouse-in and warehouse-out carrying time; counting the mass of the parts, and establishing a calculation formula for lowering the gravity center of the goods shelf; on the basis, clustering is carried out based on the correlation degree, and a mathematical model is established with the aim of improving the spatial aggregation degree of related products. The operation time, the shelf stability and the product correlation degree are comprehensively considered, a multi-target goods allocation optimization model is constructed, and the method is more comprehensive and reasonable than a single optimization target. According to the method, the comprehensive mathematical model is optimized and solved through the improved genetic algorithm, the obtained optimal solution is the current optimal goods allocation scheme, goods allocation distribution of parts can be effectively optimized, and decision makers are helped to formulate a reasonable scheme.

Description

technical field [0001] The technical field of automatic three-dimensional warehouse storage of the present invention is specifically an automatic three-dimensional warehouse cargo space allocation optimization method based on genetic algorithm. Background technique [0002] Automated three-dimensional warehouses are widely used in industrial warehousing because of their low footprint, high throughput efficiency and intelligent integrated control. The storage and retrieval of goods is an important factor that needs to be considered in the automated three-dimensional warehouse. A reasonable storage space allocation strategy can effectively improve the efficiency of storage operations, reduce logistics costs and extend the shelf life. It is a key issue to improve enterprise efficiency. [0003] At present, a large number of researches on the automated three-dimensional warehouse have been carried out from the theory and technology at home and abroad, which is also the reason wh...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F30/27G06K9/62G06N3/12G06Q10/08G06F111/04G06F111/10
CPCG06F30/27G06N3/126G06Q10/087G06F2111/10G06F2111/04G06F18/23Y02T10/40
Inventor 李岩王清云贾科崔振丰刘克平
Owner CHANGCHUN UNIV OF TECH
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