基于DSM的研发项目流程多目标仿真优化  

Multi-objective simulation optimization for the process of R&D projects based on DSM

作　　者：李洪波[1] 徐哲[1] 于静[1] 

机构地区：[1]北京航空航天大学经济管理学院,北京100191

出　　处：《系统工程理论与实践》2015年第1期142-149,共8页Systems Engineering-Theory & Practice

基　　金：国家自然科学基金(71271019;71271014)

摘　　要：分析了复杂产品研发项目中流程结构的不确定性,采用设计结构矩阵对其进行仿真建模,并将设计结构矩阵调度策略嵌入仿真模型,建立了同时最小化项目工期和成本的多目标优化模型.提出了一种基于设计结构矩阵仿真与非支配排序遗传算法的混合优化算法,获取研发项目流程多目标优化的Pareto最优解.以某飞机初步研制项目流程为研究算例,验证了混合优化算法的可靠性和有效性,并对获得的最优流程结构进行了深入的仿真评价与分析。Process structure uncertainties in complex products R＆D projects are analyzed. The R^D pro- cess is simulated and modeled with design structure matrix （DSM）. DSM scheduling policies are used in the DSM simulation. We develop a multi-objective optimization model with the objective of minimizing both project duration and cost. We propose a hybrid algorithm based on DSM simulation and nondominated sorting genetic algorithm II to generate the Pareto-optimal solutions for our multi-objective optimization problem. The proposed hybrid algorithm is applied to a real-world R＆D project process optimization problem. The results show that our hybrid algorithm is robust and valid. Moreover, a simulation is used to evaluate and analyze the resulting optimal project process structure.

关 键 词：设计结构矩阵 仿真 复杂产品研发 流程优化 多目标优化 

分 类 号：N945[自然科学总论—系统科学]