计算机集成制造系统 ›› 2017, Vol. 23 ›› Issue (第8期): 1765-1773.DOI: 10.13196/j.cims.2017.08.017

• 产品创新开发技术 • 上一篇    下一篇

基于自组织映射网络的制造服务模块动态创建方法

张卫1,2,3,冷建兴4,张广博3,唐任仲2,方水良2   

  1. 1.浙江师范大学工学院智能制造工程技术中心
    2.浙江大学流体动力与机电系统国家重点实验室
    3.剑桥大学工程系制造研究院
    4.浙江大学海洋结构研究所海洋工程装备国家地方联合工程实验室
  • 出版日期:2017-08-31 发布日期:2017-08-31
  • 基金资助:
    国家自然科学基金资助项目(51205353,51175464,71571161);浙江省博士后科研择优资助项目(BSH1402022);国家863计划资助项目(2015AA042101)。

Dynamic creation method of manufacturing service module based on self organizing map

  • Online:2017-08-31 Published:2017-08-31
  • Supported by:
    Project supported by the National Natural Science Foundation,China(No.51205353,51175464,71571161),the Zhejiang Provincial Postdoctoral Scientific Research Merit Foundation,China(No.BSH1402022),and the National High-Tech.R&D Program,China(No.2015AA042101).

摘要: 针对商业生态环境中制造服务运作的复杂性,建立了制造服务模块化理论模型。该模型包括制造服务模块的内涵和动态创建过程,初步实现了制造服务模块动态创建,为制造服务模块化奠定基础。应用突变理论构建了制造服务模块的产品度和服务度概念,并建立了制造服务模块测度模型及算法。在此基础上,提出制造服务模块动态聚类的自组织映射网络策略。通过制造服务模块动态聚类的示例,验证了制造服务模块测度模型的有效性,以及基于神经网络和模块化技术建模的优越性。

关键词: 制造服务, 模块化, 突变理论, 自组织映射网络, 动态聚类策略

Abstract: For the complexity of manufacturing services business operation environment,the manufacturing service modularity theory model which included connotation and dynamic creation process of manufacturing service module was established.The dynamic creation of manufacturing service module was realized for laying basis of manufacturing service modularization.The catastrophe theory was used to construct the manufacturing service module products and service concept,and the manufacturing service module measure model and algorithm were established.On this basis,proposed based on the self organizing mapping network strategy of manufacturing service module dynamic clustering was proposed.Through the dynamic clustering of manufacturing service module,the validity of the proposed measurement model was verified,and the advantages of modeling based on neural network and modular technology were proved.

Key words: manufacturing service, modularity;manufacturing service, modularization, catastrophe theory, self-organizing mapping network, dynamic clustering strategy

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