Retailer policy, uncertainty reduction, and supply chain performance

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• 作者：Jin Kyung Kwak ; ^a ; ^{jkk37@cornell.edu"" rel=""nofollow} ; Srinagesh Gavirneni^a ; ^{nagesh@cornell.edu"" rel=""nofollow}
• 关键词：Supply chain management ; Inventory policy ; Uncertainty reduction ; Information sharing
• 刊名：International Journal of Production Economics
• 出版年：2011
• 出版时间：August 2011
• 年：2011
• 卷：132
• 期：2
• 页码：271-278
• 全文大小：353 K

文摘

We investigate how the retailer’s inventory policy affects the total cost of a serial supply chain. When the retailer uses the locally optimal (s,S) policy, there is randomness in order time and order quantity to the supplier whereas the supplier sees randomness only in order quantity for the suboptimal (R,T) policy and only in order time for another suboptimal (Q,r) policy. Using an extensive computational study, we find that the suboptimal policies perform better from the total supply chain perspective. The benefit of policy changes is magnified when the retailer costs are low, when the supplier costs are high, and when there is information sharing.