Operations Research and Management Science ›› 2013, Vol. 22 ›› Issue (4): 77-84.

• Theory Analysis and Methodology Study • Previous Articles     Next Articles

Optimization Model of Resources Integration Decision in Service-manufacturing Network

ZHAO Yi-wei1,2, CHEN Ju-hong1, FENG Qing-hua1,2, YAO Shu-jun1,2, GUO Fu-li1   

  1. 1. The Faculty of Business Administration, Xi'an University of Technology, Xi'an 710054, China;
    2. Xi'an University of Finance and Economics, Xi'an 710061, China;
    3. Henan Provincial Communications Planning Survey & Design Institute CO., Ltd, Zhengzhou 45000, China
  • Received:2011-06-22 Online:2013-08-25

服务型制造网络资源整合决策优化模型

赵益维1,2, 陈菊红1, 冯庆华1,2, 姚树俊1,2, 郭福利1   

  1. 1.西安理工大学 经济与管理学院,陕西 西安 710054;
    2.西安财经学院,陕西 西安 710061;
    3.河南省交通规划勘察设计院有限责任公司,河南 郑州 45000
  • 作者简介:赵益维(1978-),女,陕西兴平人,博士生,讲师,研究方向为服务型制造、制造企业服务创新;陈菊红(1964-),女,陕西富平人,博士,教授,博士生导师,研究方向为服务型制造、物流与供应链管理。
  • 基金资助:
    国家自然科学基金资助项目(71272117);陕西省软科学计划项目(2012KRM84);陕西省高校重点学科建设资助项目(107-00X902);陕西省教育厅科学研究项目计划(12JK0023)

Abstract: Service-manufacturing is a new mode in the development of manufacturing. To carry on the service-manufacturing smoothly, various kinds of resources in service-manufacturing network(SMN)should be integrated and optimized. This paper analyses the operational features of SMN, and based on this, takes the hard environmental factors and soft environmental factors that decide both the network and individual operational level as dominant factors during integration of SMN resources. In order to guide the operational practice in SMN, an integration decision optimization method based on dominant factors judgment was first given by analyzing the resources integration characters of SMN. Then, the integration decision optimization model and improved ant algorithm were built to solve the decision process. Finally, the effectiveness and feasibility were discussed by a case simulation.

Key words: management science and Enhineering, resources integration, ant algorithm, optimization model, service-manufacturing

摘要: 服务型制造是制造业发展的新模式,服务型制造的顺利开展依赖于对服务型制造网络中各种资源的整合及优化.分析服务型制造网络的运作特征, 在此基础上将决定网络和个体运作水平的硬环境因素和软环境因素作为服务型制造网络资源整合的主导因素,提出基于主导因素评判的资源整合决策模式,构建出优化整合决策的数学模型,搭建了改进的蚁群寻优算法来求解整合决策的优化过程,最后借助算例仿真验证算法的有效性与可行性。

关键词: 管理科学与工程, 资源整合, 蚁群算法, 优化模型, 服务型制造

CLC Number: