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Goods allocation optimization method applied to Flying-V untraditional layout warehouse

A technology of storage space allocation and optimization method, which is applied in the field of warehouse management, and can solve problems such as defects in the storage space allocation of Flying-V-shaped layout warehouses that cannot be effectively solved

Active Publication Date: 2018-03-16
NANCHANG UNIV
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AI Technical Summary

Problems solved by technology

[0005] In order to overcome the defect that the existing cargo space allocation technology and method cannot effectively solve the cargo space allocation of Flying-V layout warehouse, the present invention proposes a Flying-V warehouse cargo space allocation optimization method based on genetic algorithm

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  • Goods allocation optimization method applied to Flying-V untraditional layout warehouse
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  • Goods allocation optimization method applied to Flying-V untraditional layout warehouse

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Embodiment Construction

[0084] Below in conjunction with accompanying drawing, the present invention will be further described.

[0085] refer to figure 1 , an optimization method for cargo location allocation applied to a Flying-V non-traditional layout warehouse. The implementation steps are as follows:

[0086] S1. Set the relevant parameters in the Flying-V warehouse location allocation method;

[0087] S2. Initialize the parameters of the genetic algorithm for slot allocation;

[0088] S3. Initialize the population according to the information list of goods to be put into storage. The location information of each cargo location is composed of 4 dimension parameters, which are the cargo area number, the row number of the cargo location, the column number of the cargo location, and the number of layers of the cargo location;

[0089] S4. Use the adaptive genetic algorithm to perform individual optimal selection on the population, including:

[0090] S4.1. Evaluate the objective function value a...

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Abstract

The invention provides a goods allocation optimization method applied to a Flying-V untraditional layout warehouse. The method is characterized by comprising the steps that S1, goods allocation relevant parameters of the Flying-V warehouse are set; S2, the goods allocation parameters are initialized; S3, a population is initialized according to an information list of to-be-stored goods; S4, an adaptive genetic algorithm is adopted to perform individual optimal selection on the population; S5, whether the number of algorithm termination iterations is reached is judged, if yes, the step S6 is performed, and otherwise the step S4 continues to be cycled; and S6, an optimal goods allocation scheme is output. The goods allocation optimization method is applied to the application occasion of "Flying-V untraditional warehouse layout", goods storage and delivery efficiency and a lowest gravity center of a goods shelf after the goods are placed on the goods shelf are optimized, and a multi-target optimization problem processing method with different dimensions is provided; by the adoption of the adaptive genetic algorithm, the crossover rate and the variation rate change along with adaptation values; and population diversity is maintained, and global convergence of the genetic algorithm is guaranteed.

Description

technical field [0001] The invention relates to the field of warehouse management, in particular to a cargo location allocation optimization method applied to a Flying-V non-traditional layout warehouse. Background technique [0002] Warehousing is an important link in logistics, which directly reflects the status of materials before and during circulation, and is the basis for enterprises to judge production and sales. In the entire operation process of warehouse management, the information feedback of warehouse management will directly affect the economic operation of the enterprise. Therefore, the warehousing management link has been upgraded from an operational and auxiliary role that was not valued to an important link in the business operation strategy and a source of profit for the company to gain competitive advantages and reduce costs. Usually, the main operations of the warehouse include goods in-warehouse, in-warehouse management and out-of-warehouse operations, ...

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Application Information

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IPC IPC(8): G06Q10/04G06Q10/08G06N3/12
CPCG06N3/126G06Q10/043G06Q10/087
Inventor 刘建胜谭文越张有功罗志文雷兆发
Owner NANCHANG UNIV
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