关键词: 产品族模块配置, 供应链设计, 主从关联优化, 双层规划, 遗传算法

Abstract: Aiming at the optimization problem of product family configuration in supply chain design,according to the attributive analysis for product family module configuration and supply chain collaborative optimization,a leader-followers joint decision making model was proposed.The model consisted of two optimization levels: an upper level and a lower level.The upper level determined product family configurations by selecting the ratio of customer perceived utility to cost as the optimization objective.The lower level designed the supply chain of product family by choosing the lowest cost of product supply chain with different suppliers and manufacturers as the optimization objective.Aiming at the 0-1 mixed nonlinear feature of proposed model,the genetic algorithm was used by upper and lower levels to solve.An example of a simple product family was provided to demonstrate the method.

Key words: product family module configuration, supply chain design, leader-followers joint optimization, bi-level programming, genetic algorithms