论文信息 - A distributed spare parts warehouse allocation strategy for automobile industry chain based on parallel genetic algorithm

A distributed spare parts warehouse allocation strategy for automobile industry chain based on parallel genetic algorithm

Aimed at inventory allocation needs with timeliness and accuracy of distributed spare parts warehouses, a collaborative allocation model for spare parts is proposed. Based on an analysis of the characteristics and defects of the genetic algorithm, a distributed inventory allocation strategy based on the parallel genetic algorithm is proposed, and a coarse parallel genetic algorithm within the framework of MapReduce is realized. The proposed strategy and algorithm together reduce the heavy computation burden during the process of problem-solving which is based on the genetic algorithm. Effectiveness of the proposed strategy is verified based on the spare parts inventory data of providers on the automobile industry chain.

Rui Lv | Linfu Sun | Linfu Sun | Rui Lv

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