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

Abstract

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.