客户需求驱动的两阶段配置设计  

Two-Stage Configuration Design for Customer Requirement-Driven

作　　者：武浩远 黎荣[1] 王建[1] 钱一山 WU Hao-yuan;LI Rong;WANG Jian;QIAN Yi-shan(School of Mechanical Engineering,Southwest Jiaotong University,Sichuan Chengdu 610031,China)

机构地区：[1]西南交通大学机械工程学院,四川成都610031

出　　处：《机械设计与制造》2020年第12期216-220,共5页Machinery Design & Manufacture

基　　金：国家重点研发计划(2017YFB1201100)。

摘　　要：针对复杂产品功能实现的多样性,以及目前两阶段配置中类模块配置的研究中没有考虑客户偏好和成本的问题,提出一种考虑成本的客户需求驱动的两阶段配置设计方法。在类模块的配置中,以类模块配置方案的性能与客户需求之间相关度最大为目标,以基于区间数表示的模糊成本为约束,构造了数学优化模型,并利用遗传算法求解得到最优的类模块配置方案;在类模块的配置基础上,采用基于约束满足问题的方法进行模块实例配置的建模,并利用粒子群算法得到模块实例的配置方案。以地铁转向架为例,证明了所提出方法的可行性。In view of the diversity of functional implementation of complex products,and in the configuration of generic modules,customer preference and cost is not considered,a new approach for customer-driven two-stage configuration design is proposed,which considers cost.In the configuration of generic modules,a mathematic model to maximize performances with a mixture of views from customer’s needs and with the constraint of fuzzy cost based on the interval number is formulated.And a genetic algorithm is adopted to solve this problem.On the basis of the result of generic module configuration,the modeling of module instance configuration is carried out by the method of constraint satisfaction problem,and the particle swarm optimization is adopted to solve the problem.A case study of metro bogie is reported to illustrate the validity of the method.

关 键 词：两阶段配置 类模块配置 模糊成本约束 模块实例配置 

分 类 号：TH16[机械工程—机械制造及自动化] TH122