Intelligent warehouse goods allocation allocation optimization method

Abstract

The intelligent warehouse goods allocation optimization method comprises the following steps: establishing a space utilization rate constraint condition; calculating a space center position coordinate of the same goods stored in a warehouse, and setting a target goods allocation of a target to-be-stored goods to be closest to the space center position; the warehouse-out time of the target to-be-stored goods is calculated according to the turnover rate of the target to-be-stored goods, the average moving speed of the warehouse-in execution forklift and the goods location size, and the warehouse-out time is set to be the shortest; establishing a goods shelf stability constraint condition: calculating the gravity center of the goods shelf in rows, and setting the gravity center of the goods shelf to be the lowest; establishing a shelf balance constraint condition; the moment of force of the goods shelf for storing the target goods to be stored is set to be minimum; establishing a cargo warehousing distribution model; and solving the optimal target goods allocation of the target goods to be stored based on the goods warehousing distribution model. By adopting the method provided by the invention for goods allocation, the storage pressure of the goods shelf can be fully released, and the storage efficiency is improved.

Description

technical field [0001] The invention belongs to the technical field of intelligent warehousing, and in particular relates to a method for optimizing the allocation of intelligent warehouse cargo positions. Background technique [0002] As the foundation of the entire vehicle industry, auto parts are the unique material management content of the auto industry. The existing auto parts warehouse has the following characteristics: [0003] (1) Wide variety: According to the spare parts catalog numbers of auto companies, there are about 70 large parts assemblies in the automobile field. Represented by the engine assembly, each assembly is composed of dozens to hundreds of parts. [0004] (2) Various and irregular shapes: The vast majority of individual auto parts are non-standard packaging, with various styles and types, and it is difficult to arrange them regularly. [0005] (3) Complicated substitution and supplementation: The substitutability of auto parts refers to the typ...

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Problems solved by technology

[0008] The present invention aims at the warehouse location design of auto parts in the prior art, which is only divided according to the shape and packaging of the goods. In actual use, it is easy to have uneven weight distribution, the frequency of goods entering and leaving the warehouse does not match the warehouse location, and the entering and leaving of various products. There are problems of interference and contradictions among them, and an intelligent warehouse location allocation optimization method is designed and provided to avoid the fearless waste of human resources, as well as the decline in the utilization rate of warehouses and the accuracy of storage operations

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