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Optimal pricing and replenishment policies of an EOQ model for non-instantaneous deteriorating items with shortages

机译:短缺的非瞬时恶化物品的EOQ模型的最优定价和补货策略

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This paper discusses the optimal pricing and replenishment policies of an economic order quantity model for non-instantaneous deteriorating items with partial backlogging over an infinite time horizon. The model is studied under the replenishment policy starting with no shortages. The backlogging rate is any non-increasing function of the waiting time up to the next replenishment. The objective of this model is to maximize the total profit which includes the sales revenue, purchasing cost, set up cost, holding cost, shortage cost, and opportunity cost due to lost sales. Here, the selling price, replenishment quantity, replenishment cycle length, and the time duration of the positive inventory level are taken as decision variables to maximize the profit of the inventory system. The existence and the uniqueness of the solution of the proposed inventory system are examined. We suggest a solution procedure to find the optimal solution of the described model. Numerical examples are presented to determine the developed model and the solution procedure. Sensitivity analysis of the optimal solution with respect to major parameters is carried out and some useful managerial results are obtained.
机译:本文讨论了在无限时间范围内具有部分积压的非瞬时恶化物品的经济订单数量模型的最优定价和补货策略。该模型是从补货政策开始的,没有短缺。积压率是直到下一次补货的等待时间的任何不增加的函数。该模型的目的是使总利润最大化,其中包括销售收入,购买成本,设置成本,持有成本,短缺成本和由于销售损失引起的机会成本。在此,将销售价格,补货数量,补货周期长度和正库存水平的持续时间作为决策变量,以使库存系统的利润最大化。研究了所提出的库存系统解决方案的存在性和唯一性。我们建议一种解决方法,以找到所描述模型的最佳解决方案。给出了数值示例,以确定开发的模型和求解过程。进行了针对主要参数的最优解的敏感性分析,并获得了一些有用的管理结果。

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