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云制造环境下企业制造资源共享的演化博弈分析
引用本文:齐二石,李天博,刘亮,赵云祥,乔国通.云制造环境下企业制造资源共享的演化博弈分析[J].运筹与管理,2017,26(2):25-34.
作者姓名:齐二石  李天博  刘亮  赵云祥  乔国通
作者单位:1.天津大学 管理与经济学部,天津 300072; 2.中国汽车技术研究中心 认证中心,天津 300300; 3.天津津融投资服务集团有限公司 企业运营中心,天津 300074; 4.安徽理工大学 电气与信息工程学院,安徽 淮南 232001
基金项目:国家自然科学基金面上项目(70902044);国家基础性科技工作项目(2012IM040500);高等学校博士学科点专项科研基金(20120032110035)
摘    要:云制造服务平台为在不同时空上获取制造资源提供了一个良好的工作环境,它实现了产品全生命周期的协同制造、管理和创新。在明确云制造环境下企业制造资源共享模式的基础上,构建了考虑两方行为的制造资源共享的演化博弈模型,分别在博弈群体处于均匀混合和非均匀混合两种状态下,找出了模型的均衡点并对其稳定性进行分析。引入系统动力学的方法,建立制造资源共享的演化博弈SD仿真模型,对比分析不同参数变化对演化结果的影响。研究结果表明,企业群体初始共享比例、升级设备成本、信息化改善收益和技术流失风险对博弈双方的策略演化结果具有显著的影响,促进企业联盟中的信息互通与资源共享,须从上述方面着手管理并持续改进。

关 键 词:云制造  制造资源共享  演化博弈  非一致接触率  系统动力学  
收稿时间:2014-11-19

The Evolutionary Game Analysis of the Sharing of Manufacturing Resource in the Environment of Cloud Manufacturing
QI Er-shi,LI Tian-bo,LIU Liang,ZHAO Yun-xiang,QIAO Guo-tong.The Evolutionary Game Analysis of the Sharing of Manufacturing Resource in the Environment of Cloud Manufacturing[J].Operations Research and Management Science,2017,26(2):25-34.
Authors:QI Er-shi  LI Tian-bo  LIU Liang  ZHAO Yun-xiang  QIAO Guo-tong
Institution:1.College of Management and Economics, Tianjin University, Tianjin 300072, China; 2.Certification Center, China Automotive Technology & Research Center, Tianjin 300300, China; 3.Enterprise Operation Center, Tianjin Financial Investment and Services Group Co. Ltd., Tianjin 300074, China; 4.College of Electrical and Information Engineering, Anhui University of Science and Technology,Huainan 232001, China
Abstract:The service platform of cloud manufacturing, which provides an efficient operating environment for acquiring the manufacturing resources from different time or space, promotes the collaborative manufacturing, management and innovation in the whole life-cycle of products. Based on the sharing mode of enterprises’ manufacturing resources in the environment of cloud manufacturing, the evolutionary game model of manufacturing resource-sharing to reveal the behaviors between two types of enterprise is constructed; the equilibrium in model and local stability are analyzed in the state of uniform mixed and non-uniform mixed populations. By using the method of system dynamics, the evolutionary game SD model is built, and a contrastive analysis of evolutionary results affected by diverse parametric variations is performed. The research results show that the evolutionary trends are significantly influenced by the initial sharing proportion in enterprise group, the cost of upgrading equipment, the profits of informational improvement and the risk of technological loss. To facilitate the information interaction and resource sharing in enterprise alliance, much advanced management and continuous improvement need to be done in line with the above aspects.
Keywords:cloud manufacturing  sharing of manufacturing resource  evolutionary game  non-uniform interaction rates  system dynamics  
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