计算机集成制造系统 ›› 2013, Vol. 19 ›› Issue (07 ): 1456-1462.

• 产品创新开发技术 • 上一篇    下一篇

一种面向产品族设计的模块动态规划方法

吴永明,侯亮+,赖荣燊   

  1. 厦门大学机电工程系
  • 出版日期:2013-07-31 发布日期:2013-07-31
  • 基金资助:
    国家自然科学基金资助项目(71172055);科技部创新方法工作专项资助项目(2011IM020400)。

Dynamic planning of module for product family design

  • Online:2013-07-31 Published:2013-07-31
  • Supported by:
    Project supported by the National Natural Science Foundation,China(No.71172055),and the Special Program for Innovation Method of the Ministry of Science and Technology,China(No.2011IM020400).

摘要: 针对产品族设计中的模块规划问题,研究和分析了产品族核心系统的模块化理论和实施方法,对产品生命周期中的各种动态要素进行了分析;根据核心系统零部件成本等市场因素的动态变化对模块规划的影响,从可维护性和经济性考虑,提出一种产品族核心系统模块动态规划方法;通过建立功能关联矩阵和动态关联权重矩阵,采用模糊聚类方法对功能关联矩阵中的组件进行聚类,通过取适当的α截集,将产品族中的核心系统划分为多个子功能模块,结合动态关联权重分析对模块部件进行动态评价,并提取出动态评价值较高的部件,为设计阶段重点考虑这些部件提供了理论依据,减少了后期维护成本。通过装载机液压传动系统的模块规划和后期维护数据,证明了该方法的可行性。

关键词: 产品族, 模块规划, 模糊聚类, 动态分析, 产品设计

Abstract: Aiming at the module planning problem in product family design,the modular theory and implementation methods of core systems for product family were researched,and a variety of dynamic elements in product life cycle were analyzed.According to the influence of market factors'dynamic changes such as core system components on modular planning,a dynamic planning method for module product family was proposed from the maintainability and economic point of view.Through the establishment of functional and dynamic correlation matrix,the components in matrix were clustered by using fuzzy clustering method.The core system of product family was divided into multiple sub-function modules with proper α cut-set.The components of modular were analyzed dynamically and the components with higher evaluation value were extracted by combining the dynamic correlation weights,which could provide a theoretical basis for the design phase and reduce the maintenance cost of products.The effectiveness and feasibility of the method was proved by module planning of hydraulic transmission system and post-maintenance data of loaders.

Key words: product family, module planning, fuzzy clustering, dynamic analysis, product design

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