关键词: 产品架构, 模块划分, 成组约束条件, 模块内聚度, 多目标聚类优化, 局部成组方案

Abstract: To solve the problem of generating optimal solutions which could not satisfy the practical partial grouping requirements of special components in the traditional product-module division method based on Design Structure Matrix (DSM) and Design Product Matrix/Module Indication Matrix (DPM/MIM),and to avoid generating too coarse-grained modules,a multi-objective module division approach incorporating component grouping constraints was proposed.Desired component partial grouping schemes were built up by engineers according to results of DSM clustering and DPM/MIM clustering and other priori knowledge.A clustering optimization model with partial grouping schemes as clustering constraints was constructed.In this model,three optimization objectives were considered: the modularity quality for DSM,the reangularity and the module coherence for DPM/MIM.The elitist non-dominated sorting genetic algorithm was used to search a Pareto optimal set for this problem.Subsequently,the technique for order preference by similarity to ideal solution was utilized to help decision makers select the proper compromise solution from the Pareto front.A handheld vacuum cleaner was taken as an example to verify the effectiveness of the proposed method.

Key words: product architecture, module division, grouping constraint, module coherence, multi-objective clustering optimization, partial grouping scheme