关键词: 战略供应链设计模型, 混合整数非线性规划, 优先供应商, 自适应遗传算法

Abstract: In the study of a strategic supply chain, the paper considers the three main stages of the supply chain, procurement, production, distribution and their interaction, different customer demands, facilities matching relationship, supplier priority and existing supply chain design model limitations. A Mixed Integer Nonlinear Programming（MINLP） model is established. An Adaptive Genetic Algorithm（AGA） is used to solve the constraint of the large-scale mixed integer nonlinear programming model, and the optimization is carried out by the Adaptive Genetic Algorithm（AGA）. Finally, the experimental results show that the proposed mixed integer nonlinear programming model can effectively solve the problem of supply chain collaborative optimization in strategic supply chain design, and can get a better supply chain design.

Key words: strategic supply chain design, mixed integer nonlinear programming, supplier priority, adaptive genetic algorithm