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Mean-variance analysis of a single supplier and retailer supply chain under a returns policy

机译:退货政策下单个供应商和零售商供应链的均方差分析

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In the literature, most of the supply chain coordinating policies target at improving the supply chain's efficiency in terms of expected cost reduction or expected profit improvement.. However, optimizing the expected performance alone cannot guarantee that the realized performance measure will fall within a small neighborhood of its expected value when the corresponding variance is high. Moreover, it ignores the risk aversion of supply chain members which may affect the achievability of channel coordination. As a result, we carry out in this paper a mean-variance (MV) analysis of supply chains under a returns policy. We first propose an MV formulation for a single supplier single retailer supply chain with a news vendor type of product. The objective of each supply chain decision maker is to maximize the expected profit such that the standard deviation of profit is under the decision maker's control. We study both the cases with centralized and decentralized supply chains. We illustrate how a returns policy can be applied for managing the supply chains to address the issues such as channel coordination and risk control. Extensive numerical studies are conducted and managerial findings are proposed. (C) 2006 Elsevier B.V. All rights reserved.
机译:在文献中,大多数供应链协调政策都旨在通过降低预期成本或改善利润来提高供应链的效率。但是,仅优化预期绩效并不能保证已实现的绩效指标将落在一个很小的范围内相应方差高时的期望值的最大值。此外,它忽略了供应链成员的风险规避,后者可能影响渠道协调的可实现性。结果,我们在本文中对退货政策下的供应链进行了均方差(MV)分析。我们首先为具有新闻供应商类型产品的单个供应商,单个零售商供应链提出MV公式。每个供应链决策者的目标是使预期利润最大化,以使利润的标准差在决策者的控制之下。我们研究了集中式和分散式供应链的两种情况。我们说明了如何将退货政策应用于管理供应链,以解决诸如渠道协调和风险控制之类的问题。进行了广泛的数值研究并提出了管理发现。 (C)2006 Elsevier B.V.保留所有权利。

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