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Informed Principal Model and Contract in Supply Chain with Demand Disruption Asymmetric Information

机译:需求中断信息不对称的供应链信息主体模型与契约。

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摘要

Because of the frequency and disastrous influence, the supply chain disruption has caused extensive concern both in the industry and in the academia. In a supply chain with one manufacturer and one retailer, the demand of the retailer is uncertain and meanwhile may suffer disruption with a probability. Taking the demand disruption probability as the retailer's asymmetric information, an informed principal model with the retailer as the principal is explored to make the contract. The retailer can show its information to the manufacturer through the contract. It is found out that the high-risk retailer intends to pretend to be the low-risk one. So the separating contract is given through the low-information-intensity allocation, in which the order quantity and the transferring payment for the low-risk retailer distort upwards, but those of high-risk retailer do not distort. In order to reduce the signaling cost which the low-risk retailer pays, the interim efficient model is introduced, which ends up with the order quantity and transferring payment distorting upwards again but less than before. In the numerical examples, with two different mutation probabilities, the informed principal contracts show the application of the informed principal model in the supply chain with demand disruption.
机译:由于频率和灾难性的影响,供应链的中断引起了业界和学术界的广泛关注。在具有一个制造商和一个零售商的供应链中,零售商的需求是不确定的,同时可能遭受破坏。以需求中断概率为零售商的非对称信息,探索了以零售商为主体的知情主体模型来制定合同。零售商可以通过合同向制造商显示其信息。结果发现,高风险零售商打算假装为低风险零售商。因此,分离合同是通过低信息强度分配给出的,其中低风险零售商的订单数量和转移付款向上扭曲,而高风险零售商的订单数量和转移付款没有扭曲。为了降低低风险零售商支付的信令成本,引入了一种临时有效模型,该模型以订单数量和转账付款再次失真而结束,但比以前少。在具有两个不同变异概率的数值示例中,知情的主合同显示了知情的主模型在需求中断的供应链中的应用。

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  • 来源
    《Mathematical Problems in Engineering》 |2016年第7期|2306583.1-2306583.12|共12页
  • 作者

    Zhang Huan; Jiang Jianli;

  • 作者单位

    North China Elect Power Univ, Dept Econ Management, Baoding 071100, Hebei, Peoples R China;

    North China Elect Power Univ, Dept Econ Management, Baoding 071100, Hebei, Peoples R China;

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