运筹与管理 ›› 2017, Vol. 26 ›› Issue (2): 25-34.DOI: 10.12005/orms.2017.0029

• 理论分析与方法探讨 • 上一篇    下一篇

云制造环境下企业制造资源共享的演化博弈分析

齐二石1, 李天博1,2, 刘亮1, 赵云祥3, 乔国通4   

  1. 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
  • 收稿日期:2014-11-19 出版日期:2017-02-25
  • 作者简介:齐二石(1953-),男,吉林长春人,教授,博士生导师,研究方向:工业工程与集成化管理;李天博(1987-),男,天津人,博士后,研究方向:工业工程与质量管理。通讯作者;刘亮(1979-),男,山东德州人,讲师,研究方向:物流与供应链管理;赵云祥(1960-),男,天津人,高级工程师,研究方向:企业运营管理;乔国通(1982-),男,河南南阳人,讲师,研究方向:系统工程与管理。
  • 基金资助:
    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)

The Evolutionary Game Analysis of the Sharing of Manufacturing Resource in the Environment of Cloud Manufacturing

QI Er-shi1, LI Tian-bo1,2, LIU Liang1, ZHAO Yun-xiang3, QIAO Guo-tong4   

  1. 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
  • Received:2014-11-19 Online:2017-02-25

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

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.

Key words: cloud manufacturing, sharing of manufacturing resource, evolutionary game, non-uniform interaction rates, system dynamics

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