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Retailer’s optimal credit period and cycle time in a supply chain for deteriorating items with up-stream and down-stream trade credits
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  • 作者:Gour Chandra Mahata
  • 关键词:EOQ ; Inventory ; Deteriorating items ; Trade credit
  • 刊名:Journal of Industrial Engineering International
  • 出版年:2015
  • 出版时间:September 2015
  • 年:2015
  • 卷:11
  • 期:3
  • 页码:353-366
  • 全文大小:554 KB
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  • 作者单位:Gour Chandra Mahata (1)

    1. Department of Mathematics, Sitananda College, P.O. & P.S.-Nandigram, Dist.-Purba Medinipur, Nandigram, 721631, West Bengal, India
  • 刊物主题:Industrial and Production Engineering;
  • 出版者:Springer Berlin Heidelberg
  • ISSN:2251-712X
文摘
In practice, the supplier often offers the retailers a trade credit period \(M\) and the retailer in turn provides a trade credit period \(N\) to her/his customer to stimulate sales and reduce inventory. From the retailer’s perspective, granting trade credit not only increases sales and revenue but also increases opportunity cost (i.e., the capital opportunity loss during credit period) and default risk (i.e., the percentage that the customer will not be able to pay off his/her debt obligations). Hence, how to determine credit period is increasingly recognized as an important strategy to increase retailer’s profitability. Also, the selling items such as fruits, fresh fishes, gasoline, photographic films, pharmaceuticals and volatile liquids deteriorate continuously due to evaporation, obsolescence and spoilage. In this paper, we propose an economic order quantity model for the retailer where (1) the supplier provides an up-stream trade credit and the retailer also offers a down-stream trade credit, (2) the retailer’s down-stream trade credit to the buyer not only increases sales and revenue but also opportunity cost and default risk, and (3) the selling items are perishable. Under these conditions, we model the retailer’s inventory system as a profit maximization problem to determine the retailer’s optimal replenishment decisions under the supply chain management. We then show that the retailer’s optimal credit period and cycle time not only exist but also are unique. We deduce some previously published results of other researchers as special cases. Finally, we use some numerical examples to illustrate the theoretical results.

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