计算机集成制造系统 ›› 2021, Vol. 27 ›› Issue (3): 842-856.DOI: 10.13196/j.cims.2021.03.016

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复杂产品设计变更传播路径的多目标优选

李从东1,2,章志伟1+,曹策俊3,张帆顺1   

  1. 1.暨南大学管理学院
    2.暨南大学物联网与物流工程研究院
    3.重庆工商大学管理科学与工程学院
  • 出版日期:2021-03-31 发布日期:2021-03-31
  • 基金资助:
    国家自然科学基金资助项目(71672074,71904021);国家自然科学基金面上资助项目(72072072);重庆市社会科学规划资助项目(2019QNGL27);教育部“春晖计划”合作科研资助项目(CQ2019001);重庆市自然科学基金资助项目(cstc2020jcyj-msxmX0164);重庆市教委科学技术研究资助项目(KJQN201900830);重庆工商大学“应对重大突发公共卫生事件”专题研究重点资助项目(ctbuyqzx01);重庆工商大学引进高层次人才科研启动资助项目(1955011);重庆工商大学校内科研资助项目(1951025);广州市创新领军团队资助项目(201909010006)。

Multi-objective optimization of design change propagation paths in complex product

  • Online:2021-03-31 Published:2021-03-31
  • Supported by:
    Project supported by the National Natural Science Foundation,China (No.71672074,71904021,72072072),the Social Science Planning in Chongqing Municipality,China (No.2019QNGL27),the ‘Chunhui Plan’ of the Ministry of Education,China (No.CQ2019001),the Natural Science Foundation of Chongqing Municipality,China (No.cstc2020jcyj-msxmX0164),the Science and Technology Research Program of Chongqing Municipal Education Commission,China (No.KJQN201900830),the Key Project of Special Research Regarding ‘Response to Major Public Health Emergency’ of Chongqing Technology and Business University,China(No.ctbuyqzx01),the Scientific Research Start up Foundation for Introduction of Advanced Talents in Chongqing Technology and Business University,China (No.1955011),the Research Foundation of Chongqing Technology and Business University,China(No.1951025),and the 2018 Guangzhou Leading Innoration Team Program,China(No.201909010006).

摘要: 在防范复杂产品设计变更雪崩式传播时,为了减少变更传播对研发时间和设计成本产生的负面影响,提出一种面向设计变更传播路径的多目标优选方法。首先,引入“功能-行为-结构(FBS)”模型和多重网络理论对设计变更传播路径进行表达。然后,以包括节点全面距离、加权聚集系数、边介数以及传播概率在内的路径变更传播强度(PCPI)、变更任务执行时间和变更成本最小化为优化目标,建立多目标0-1整数规划模型。进一步,采用改进遗传算法(IGA)求解所建立的模型。最后,通过家用分体式空调主机的设计变更来验证所提方法的可行性和有效性。结果表明:①路径变更传播强度、变更任务执行时间和变更成本明显影响复杂产品设计变更传播路径的优选方案;②将三者同时纳入到设计变更传播路径的优选活动中有助于限制变更传播影响、加快产品上市时间以及降低产品成本。

关键词: 复杂产品, 设计变更, 传播路径, 多重网络, 0-1整数规划模型, 改进遗传算法

Abstract: When prevent avalanche propagation of design change regarding complex product,to reduce the negative impacts of change propagation on Research and Development (R & D) time of as well as design cost,a multi-objective optimization method for design change propagation paths was proposed.Design change propagation paths were characterized by Function-Behavior-Structure (FBS) model and multi-plex network theory.Aiming at minimizing lead-time of change task,design cost and Path Change Propagation Intensity (PCPI) including full distance of node,weighted aggregation coefficient,edge betweenness and propagation probability,a multi-objective 0-1 integer programming model was established,which was solved by Improved Genetic Algorithm (GA).A case study from household air condition host was considered to verify the feasibility and effectiveness of the proposed approach.Results showed that the optimization scheme regarding design change propagation paths of complex product was significantly affected by path change propagation intensity,lead-time of change task and design cost.Furthermore,it also indicated that the incorporation of the aforementioned three factors into the optimization activities concerning design change propagation paths was beneficial for the limitation of design change propagation impacts,acceleration of product time-to-market,and reduction of product cost.

Key words: complex product, design change, propagation paths, multiplex network, 0-1 integer programming model, improved genetic algorithm

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