贸易信贷
采购
付款
利润(经济学)
经济订货量
供应链
业务
订单(交换)
微观经济学
供应链管理
采购管理
经济
财务
营销
作者
Prasanta Kumar Ghosh,Amalesh Kumar Manna,Jayanta Dey,Samarjit Kar
标识
DOI:10.1080/02331934.2023.2284969
摘要
AbstractSuppliers often offer item-wise price discounts and trade credit to their retailers after receiving an initial payment for the supplied product. This discount is proportional to the total payment done already against the total cost accrued by the retailer. The supplier may also decide to allow the retailer to prepay a random part of the purchasing cost at any random time within the duration that an advance payment is allowed. In order to encourage the customers to increase their orders, the retailer, in turn, offers a trade-credit for a partial amount of the sale price to the customers. In this paper, we focus on the optimal replenishment policies of a retailer that could maximize the retailer's average profit when (s)he is confronted with the supplier's trade offers of credit and price-discount under a two-layer supply chain management in a stochastic environment. We have obtained some theoretical results from the optimum cycle time and optimum order quantity of the proposed model and numerically analysed with a suitable example to demonstrate the real-life applicability of the model. The extended study proposes for maximum average profit, the retailer borrow half amount of purchasing cost from financial support and has to pay at the starting of the advance payment period. Finally, sensitivity analyses are made on the significant parameters in order to gain some managerial insights.Keywords: Inventoryadvance payment policyrandom price discountrandom trade credit financing Disclosure statementNo potential conflict of interest was reported by the author(s).
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