期刊文献+

供应链计划建模中的博弈方法 被引量:4

Collaboration Planning Modeling Based on Game Theory for Supply Chain
下载PDF
导出
摘要 基于供应链管理思想,针对供应链上下游的主要合作伙伴关系,建立一种基于协商的上下游合作计划模型·根据外界情况(如价格、库存等因素),确定企业与战略伙伴的合作关系·在合作计划模型的基础上,分别讨论了动态博弈的纳什均衡理论和协商对策理论在模型中的应用·指出供应链的上下游合作企业达到"双赢"目标的条件及可行性·结果表明,非合作博弈体现了一种个人理性,而协商对策满足个人和群体合理性·仿真验证了模型和算法的有效性· A negotiation-based collaboration planning model (CPM) for supply chain management (SCM) is established with the information shared among the firms upstream and downstream, of which the collaboration among a firm and its strategic partners involves such external factors as price and inventory. The applications of both Nash equilibrium of dynamic game and bargaining game theory to CPM is discussed. The possibility and feasibility of attaining the goal of win-win and the conditions required are discussed for the cooperative firms upstream and downstream in SCM. Results show that non-cooperative game only focuses on the individual sense, while bargainning game concerns the sense of the groups as well as the individuals. The simulation verified the model and algorithm's effectiveness.
出处 《东北大学学报(自然科学版)》 EI CAS CSCD 北大核心 2004年第7期703-706,共4页 Journal of Northeastern University(Natural Science)
基金 辽宁省自然科学基金资助项目(9910200208) 国家高技术研究发展计划项目(2003AA414022).
关键词 供应链 协商对策 动态博弈 纳什均衡 生产计划 supply chain bargaining game dynamic game Nash equilibrium production planning
  • 相关文献

参考文献9

  • 1David H, Andrew K, Production planning and scheduling in virtual manufacturing [ A ]. 5th Industrial Engineering Research Conference Proceeding [C]. New York: IIE,1996.491-496
  • 2Zhu B L, Yu H B. Negotiation-based collaboration planning model for supply chain management[A]. 15th IFAC World Congress [ C ]. Barcelona: Elsevier Science, 2002. 1118 -1122.
  • 3Wang D W, Fang S C. Soft computing for multi-customers due-date bargaining[J ]. IEEE Transaction on System Man and Cybernetics, 1999,29(4):566-575
  • 4Nasd J F, Non-cooperative games [ J ]. Annals of Mathematics, 1951,54:48-49.
  • 5Harri E, Eero K, Searching for joint gains in multi-party negotiation[J ]. European Journal of Operational Research,2001,130:54 - 69.
  • 6Gossner O. The folk theorem for finitely repeated games with mixed strategies [ J ]. International Journal of Game Theory, 1995,24:95- 107.
  • 7Von N J, Oskar M, Theory of games and economic behavior[M]. Princeton: Princeton University Press, 1994.3- 15.
  • 8张捍东,许宝栋,杨维翰,汪定伟.合作和竞争的一种模糊决策模型[J].东北大学学报(自然科学版),2002,23(7):644-647. 被引量:3
  • 9朱宝琳,于海斌.基于协商的上下游供需合作计划模型研究[J].计算机集成制造系统-CIMS,2002,8(6):438-441. 被引量:11

二级参考文献14

  • 1蒋新松,张申生.敏捷竞争的挑战与思考[J].计算机集成制造系统-CIMS,1996,2(1):3-9. 被引量:73
  • 2[1]Christie P M J, Levary R R. Virtual corporations: recipe for success[J]. Industrial Management,1998,40(4):7-11.
  • 3[2]Inkpen A C. A note on the dynamics of learning alliances: competition, cooperation, and relative scope[J]. Strategic Management Journal,2000,21(7):775-779.
  • 4[3]Parkan C,Wu M L. Comparison of three modern multicriteria decision-making tools[J]. International Journal of System Science,2000,31(4):497-517.
  • 5[4]Li L,Lai K K. Fuzzy dynamic programming approach to hybrid multiobjective multistage decision-making problems[J]. Fuzzy Sets and Systems,2001,117(1):13-25.
  • 6[5]Curiel I. Cooperative game theory and applications[M]. Dordrecht:Kluwer Academic Publishers,1997.1-28.
  • 7[6]Nishizaki I,Sakawa M. Fuzzy cooperative games arising from linear production programming problems with fuzzy parameters[J]. Fuzzy Sets and Systems,2000,114(1):11-21.
  • 8[7]Xu C. Rational behaviour and cooperation degree in competitive situations[J]. International Journal of System Sciences,1999,30(4):369-377.
  • 9[8]Yao J,Wu K. The best prices of two mutual complements in the fuzzy sense[J]. Fuzzy Sets and Systems,2000,111(3):433-454.
  • 10[9]Wu K. The best prices of three mutually complementary merchandises in the fuzzy sense[J]. Fuzzy Sets and Systems,2001,117(1):129-150.

共引文献12

同被引文献66

引证文献4

二级引证文献16

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部