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基于销售奖励契约下的多随从双层条件风险值决策模型
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  • 英文篇名:A CVaR risk decision-making of multi-follower bilevel model under the sales incentive contract
  • 作者:沈瑞 ; 孟志青 ; 蒋敏
  • 英文作者:SHEN Rui;MENG Zhiqing;JIANG Min;School of Economics, Zhejiang University of Technology;School of Management, Zhejiang University of Technology;
  • 关键词:销售奖励契约 ; 供应链 ; 多随从双层条件风险值决策模型 ; 条件风险值
  • 英文关键词:sales incentive contract;;supply chain;;CVaR risk decision-making of multi-follower bilevel model;;conditional value-at-risk
  • 中文刊名:ZJGD
  • 英文刊名:Journal of Zhejiang University of Technology
  • 机构:浙江工业大学经济学院;浙江工业大学管理学院;
  • 出版日期:2019-03-20
  • 出版单位:浙江工业大学学报
  • 年:2019
  • 期:v.47;No.198
  • 基金:浙江省自然科学基金资助项目(LY15G010007)
  • 语种:中文;
  • 页:ZJGD201902014
  • 页数:7
  • CN:02
  • ISSN:33-1193/T
  • 分类号:78-84
摘要
多随从供应链的供应与订购的风险决策是制造商与零售商减少损失和提高利润的重要问题,但是关于多随从供应链的销售奖励策略下的最优采购供应决策模型的研究几乎没有。因此,建立了一个销售奖励契约的多随从双层条件风险值模型,提出了一个模型近似求解方法,对由一个面包供应商和三个零售商构成的多随从双层条件风险值模型进行了数值分析,数值结果表明:所提出的模型可以确定供应商最优销售奖励阈值和奖励折扣、随从零售商的最优订购量,模型可以有效地平衡供应商与多个随从零售商之间的利润和风险,这对于供应商与零售商之间的供应与订购的协调、减少他们风险损失具有重要的意义。
        Supply-and order-risk decision of multi-follower supplier chain is a key issue for manufacturers and retailers as it relates to the decrease in losses and increase in profits. However, there is rarely an optimization order supply decision model for multi-follower supply chain under revenue-sharing contract. Therefore, the research establishes a bi-level multi-follower conditional value risk model for revenue-sharing contract, and gives an approximate solution. Then based on the data from a multi-follower supply chain consisting of one bread supplier and three retailers, the data analysis is conducted, with the corresponding results showing that the proposed model can be used to determine the optimal threshold order value for the manufacture and the corresponding discount, as well as the optimal order quantity for the retailers. The model can well balance the profits and risks between the suppliers and the retailers.It is of great significance for the coordination of supply and order between the suppliers and retailers and reducing their risk loss.
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