关键词: 协同计划, 遗传算法, 平衡优化

Abstract: Optimization problem of supply chain collaborative planning about multi-suppliers、multi manufacturers and multi distribution centers was studied. The model was aimed to balance the costs and customers responding time of the supply chain system, and the weights were set to balance the performances according to the production policy. Three-dimension-array coding of genetic algorithm was adopted, together with gene segment cross and gene shift mutation to optimize supply chain costs and time synthetically. To simulate its applications by setting parameters, this model also helped enterprises trade-off between products costs and customers responding time, which was especially significant to made-to-order manufacture enterprises, impelling them respond correctly to lead times and prices of products submitted by customers.

Key words: collaborative planning, genetic algorithm, balance optimization, supply chain