Retailer’s optimal credit period and cycle time in a supply chain for deteriorating items with up-stream and down-stream trade credits

محورهای موضوعی : Mathematical Optimization

Gour Chandra Mahata ¹ (Department of Mathematics, Sitananda College, P.O. & P.S.-Nandigram, Dist.-Purba Medinipur, Nandigram, 721631, West Bengal, India)

تاریخ دریافت : 1399/07/12 تاریخ پذیرش : 1399/07/12 تاریخ انتشار : 1394/06/10

کلید واژه: Credit, EOQ  Inventory  Deteriorating items  Trade,

چکیده مقاله :

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.