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Optimal Pricing and Replenishment Policies for Instantaneous Deteriorating Items with Backlogging and Permissible Delay in Payment under Inflation

机译:通胀情况下积压且允许延迟付款的即时恶化物品的最优定价和补货策略

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In this article, we develop an economic order quantity model to investigate the optimal replenishment policies for instantaneous deteriorating items under inflation. Demand is assumed to be a linear function of the selling price and decreases negatively exponentially with time over a finite planning horizon under delay in payment. Shortages are allowed and partially backlogged. Under these conditions, we model the retailer's inventory system as a profit maximization problem to determine the optimal selling price, optimal order quantity, and optimal replenishment time. An easy-to-use algorithm is developed to determine the optimal replenishment policies for the retailer. We also provide optimal present value of profit when shortages are completely backlogged as a special case. Numerical examples are presented to illustrate the algorithm provided to obtain optimal profit. We also obtain managerial implications from numerical examples to substantiate our model.
机译:在本文中,我们开发了一个经济订单数量模型,以研究通货膨胀下瞬时恶化的物品的最佳补货策略。假设需求是销售价格的线性函数,并且在付款延迟的情况下,在有限的计划范围内,需求随时间呈负指数下降。短缺是允许的,部分积压了。在这种情况下,我们将零售商的库存系统建模为利润最大化的问题,以确定最佳的销售价格,最佳的订购数量和最佳的补货时间。开发了一种易于使用的算法来确定零售商的最佳补货策略。当短缺被完全积压为特例时,我们还提供最佳的利润现值。给出了数值示例,以说明为获得最佳利润而提供的算法。我们还从数字示例中获得了管理上的启示,以证实我们的模型。

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