Multi-objective Optimization for Complex Product Development Process Based on Stochastic DSM Simulation

摘要：

　　Process architecture uncertainty which is the key feature for complex product development,is modeled by stochastic design structure matrix in this paper.Project duration and cost are minimized simultaneously by a multi-objective optimization problem.Meanwhile,a hybrid algorithm is designed to solve the optimization problem and to obtain the Pareto-optimal solutions.This hybrid algorithm combines DSM simulation with non-dominated sorting genetic algorithm II (NSGA-II) that deals with uncertainties and constraints.Finally,the proposed hybrid algorithm is applied to a complex project development process optimization and the results illustrate that the hybrid algorithm is reliable and effective.

关键词： Complex product development process multi-objective optimization DSM simulation NSGA-Ⅱ

作者: Jing Yu Hongbo Li Zhe Xu

作者单位: School of Economics and Management Beihang University Beijing,China

会议类型: 国际会议

会议名称: 2013复杂管理系统建模与仿真国际研讨会(International Symposium on Modeling and Simulation of Complex Management Systems)ISMSCS-2013

会议地点: 深圳

会议语种:英文

页码: 124-129

在线出版日期: 2013-06-01（万方平台首次上网日期，不代表论文的发表时间）