关键词: 产品配置, 模糊求解, 多目标优化, 条件概率, 非支配排序遗传算法-Ⅱ

Abstract: To deal with the complicated fuzzy solution problem of product configuration in the new mass customization environment, a fuzzy solution of product configuration based on case reuse was proposed, and a configuration optimization method based on multi-objective genetic algorithm was designed. Product configuration process was divided into two parts as subassemblies configuration and parts configuration. The typical conditional probability was used to solve the fuzzy problem of the subassemblies configuration. The Non-dominated Sorting Genetic Algorithm-Ⅱ (NSGA-Ⅱ) was designed to solve the multi-objective optimization of the parts configuration with cost, time and inventory as three optimal objectives. In the end, this two configuration procedures were combined together into one complete solution system of product configuration. This new algorithm solved the fuzzy data processing and combinatorial explosion problem of complicated product configuration.

Key words: product configuration, fuzzy solution, multi-objective optimization, conditional probability, non-dominated sorting genetic algorithm-Ⅱ