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

Journal
European Journal of Operational Research
Journal Volume
184
Journal Issue
1
Pages
356-376
Date Issued
2008
Author(s)
TSAN MING CHOI  
Li D.
Yan H.
DOI
10.1016/j.ejor.2006.10.051
URI
https://www.scopus.com/inward/record.uri?eid=2-s2.0-34548381646&doi=10.1016%2fj.ejor.2006.10.051&partnerID=40&md5=c56c72aad3af5864b7c0893c3068e981
https://scholars.lib.ntu.edu.tw/handle/123456789/612414
Abstract
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 newsvendor 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. ? 2006 Elsevier B.V. All rights reserved.
Subjects
Mean-variance analysis; Returns policy; Supply chain management
Other Subjects
Cost reduction; Decision making; Public policy; Supply chain management; Channel coordination; Mean-variance analysis; Returns policy; Risk control; Variational techniques
Type
journal article

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