Research on Multi-echelon Supply Chain Networks Structure Optimization Based on Genetic Algorithm

摘要

Genetic algorithm is the random-search one based on biology evolution mechanism, it has well robustness, flexibility and universal property. In this article, the multi-echelon supply chain networks structure model based on customers demand uncertainty is established, which contains supplier, factory, storehouse, distribution center and customer. The feasibility and validity of the model and algorithm have been validated in this article.