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基于驱动参数建模的可行更改路径搜索和优选方法 被引量:6

Feasible Change Path Search and Optimization Method Based on Driving Parameter Modeling
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摘要 为了解决产品设计更改中可行更改路径分析困难的问题,提出了一种基于驱动参数建模的可行更改路径搜索和优选方法.从集合论观点出发描述了产品中的更改传播现象;在传统产品参数建模的基础上构建产品驱动参数关联网络模型,并介绍了产品模型的预处理方法;引入深度优先搜索算法(Depth First Search,DFS)实现可行更改路径的搜索;提出了评价最优更改路径的指标和优选准则指导更改方案优选工作,采用多属性决策方法(Technique for Order Preference by Similarity to an Ideal Solution,TOPSIS)完成最优更改方案的优选;通过开发的原型系统,实例验证了该方法的可行性. To solve the problem of difficultly analyzing the feasible change paths in the product design, a feasible change path search and optimization method was proposed based on driven-parameter modeling. The phenomenon of change propagation was described from the viewpoint of set theory. Based on traditional product parameter modeling, a product driven-parameter associated network was constructed, and the preprocess approach of product model was introduced. The depth first search (DFS) algorithm was adopted to realize the search of feasible change paths. The assessment indexes and criterions were proposed to instruct the selection of optimal change path, and technique for order preference by similarity to an ideal solution (TOPSIS) method was utilized to select the optimal change path. A case was provided to verify the feasibility of the method by a developed prototype
作者 陈进平 张树生 何卫平 王明微 黄晖 CHEN Jinping ZHANG Shusheng HE Weiping WANG Mingwei HUANG Hui(The Key Laboratory of Contemporary Designing and Integrated Manufacturing Technology, Ministry of Education, Northwestern Polytechnical University, Xi'an 710072, China Institute of Agricultural Products Processing, Chinese Academy of Tropical Agricultural Science, Zhanjiang 524001, China)
出处 《上海交通大学学报》 EI CAS CSCD 北大核心 2017年第10期1220-1227,共8页 Journal of Shanghai Jiaotong University
基金 国防基础预研项目(A2720132006) 国家科技支撑计划项目(2015BAF17B01)资助
关键词 设计更改 驱动参数 可行更改路径 路径搜索 design change driving parameter feasible change path path search
作者简介 陈进平(1979-),男,湖北省汉川市人,博士生,主要从事企业工程更改管理研究.Email:cjping-2001@163.com. 张树生(联系人),男,教授,博士生导师,电话(Tel.):029-88460357;E-mail:zssnet@nwpu.edu.cn.
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