考虑交货时间压缩和信息不对称的供应链协调研究

Daoping Wang, N. Yu, Xinyi Li
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引用次数: 0

摘要

在动态环境下,对于需求预测精度随时间变化的供应链,虽然提前期压缩可以提高预测精度,但也可能产生崩溃成本。制造商掌握了崩溃成本的真实信息,并将更高的成本告知零售商以获得更多的利润。考虑到上述情况,本文建立了一个由一个零售商和一个制造商组成的信息不对称的供应链协调模型,对零售商订购商品的数量和制造商压缩交货时间的时间进行决策。研究结果表明,零售商必须支付额外的信息租金才能披露制造商的私人信息。此外,基于回购契约和成本分担契约的结合,供应链可以达到帕累托效率状态。最后通过数值算例对所提模型的理论结果进行了说明,并对所提模型的参数进行了灵敏度分析。
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Study on supply chain coordination with lead-time compression and asymmetric information
In dynamic environment, for the supply chain with time-varying demand forecast accuracy, although the lead-time compression may raise forecast accuracy, it may produce crash costs. Manufacturer owns the true information of crash costs and tells higher costs to retailer in order to get more profit. This paper takes the above situations into consideration, develops a supply chain coordination model with asymmetric information, which consist one retailer and one producer, makes the decision how much retailer orders goods and how long manufacturer compresses the lead-time. The study results that retailer has to pay extra information rent to reveal the private information of manufacturer. Additionally, based on the combination of buy-back contract and cost sharing contract, the supply chain can get to the state of Pareto efficiency. Finally, a numerical example is given to illustrate the theoretical results of the proposed model and conducts sensitivity analysis on parameters of the proposed model.
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