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中国管理科学

中国管理科学 ›› 2007, Vol. 15 ›› Issue (3): 47-55.

• 论文 • 上一篇    下一篇

面向模糊随机需求更新的供应链回购契约响应方法研究

赵志刚1,2, 李向阳1,2, 刘秀芝3   

  1. 1. 哈尔滨工业大学技术政策管理国家哲学社会科学创新基地 黑龙江哈尔滨150001;
    2. 哈尔滨工业大学管理学院 黑龙江哈尔滨150001;
    3. 东北财经大学工商管理学院 辽宁大连116025
  • 收稿日期:2006-05-19 修回日期:2007-04-20 出版日期:2007-06-30 发布日期:2007-06-30
  • 作者简介:赵志刚(1979- ),男(满族),辽宁本溪人,哈尔滨工业大学管理学院博士研究生,研究方向:供应链管理、生产运作管理、智能计算.
  • 基金资助:

    国家自然科学基金资助项目(70571019);国防基础科研项目(A2320060097);教育部博士点基金资助项目(20060213004);国家863计划CIMS主题项目(2002AA413110);哈尔滨工业大学TPM基地

On Response Method for Buyback Contract with Fuzzy Random Demand Updating

ZHAO Zhi-gang1,2, LI Xiang-yang1,2, LIU Xiu-zhi3   

  1. 1. National Philosophy Social Science Innovation Base of Technology, Policy and Management, Harbin Institute of Technology, Harbin 150001, China;
    2. School of Management, Harbin Institute of Technology, Harbin 150001, China;
    3. The School of Business Administration, Dongbei University of Finance & Economics, Dalian 116025, China
  • Received:2006-05-19 Revised:2007-04-20 Online:2007-06-30 Published:2007-06-30

PDF (PC)

1530

被引次数

58

摘要： 针对需求信息更新为模糊随机变量情况,构建了供应链系统在不同决策选择下的获利模型,进一步提出了供应链系统进行决策的乐观主义准则、悲观主义准则和风险中性准则.对于采用回购契约进行协调的供应链,通过分析零售商在不同抉择下的获利情况,提出了修正回购契约参数的可行集构造方法.研究表明,信息更新后,原有的回购契约可能不再适用,需要加以适当修正才能重新实现供应链协调.新的契约在协调供应链同时,能够对需求更新前后,供应链系统的利润变化进行合理分配,体现了“利益分享、风险共担”的供应链管理理念.模拟算例研究阐明了该方法的应用步骤,表明了该方法的有效性.

关键词: 供应链协调, 回购契约, 模糊随机需求更新, 响应方法

Abstract: To the situation that the demand information was updated to afuzzy random variable,profitability models of supply chain were constructed for different decision options.Pessimistic,optimistic and risk neutral decision criteria were proposed further,for the decision of supply chain.To the supply chain coordinating by buyback contract,formation method of feasible set for buyback contracts adjusted parameters was put forward,according to the analysis of profitability of the retailer with different choices.The research shows that,to coordinate the supply chain,buyback contract has to make real time response to information updating.With the adjusted parameters selected from the feasible set,the buyback contract could reasonably distribute the difference of system profit after demand information updating and before,which demonstrated the supply chain management idea of sharing gain and risk simultaneously.Simulated case study illustrates the responding steps in detail and shows the effectiveness of the response method.

Key words: aupply chain coordination, buyback contract, fuzzy random demand updating, response method

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