A computer based strategy design for automobile spare part logistics network optimization

This paper discusses the problem of the automobile spare part logistics warehouse network strategy, a quite important problem in logistics. On the basis of the integration of quantitative technology and qualitative technology, a mathematic model and algorithm of automobile spare part logistics network optimization are presented. In the quantitative analysis part we propose a novel hybrid approach through crossing over the PSO and GA, called hybrid PSO-GA based algorithm. Among the mixed algorithm, GA is embedded to solve the difficulties of updating the particles in the binary code system; the roulette algorithm is embedded to eliminate worse particles; SA is embed to control convergence of particles. Then in the qualitative part, we propose a selection model along with the AHP methodology that project selection would be easier and more accurate than before. In the end we apply the above approach in an automobile spare part logistics company. Computational simulation is carried out to evaluate the performance of the algorithm and the results show that this approach can indeed find effective solutions for the automobile spare part logistics optimization problem.