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Analysis of an inventory system with discrete scheduling period, time-dependent demand and backlogged shortages

机译:分析具有离散调度周期,时间相关需求和积压短缺的库存系统

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A deterministic inventory model for goods with a power demand pattern, allowing backlogged shortages, is analyzed. The inventory cycle must be an integer multiple of a fixed time period (called basic period). Demand follows a power demand pattern during this basic time period. Demand not satisfied along the inventory cycle is fully backlogged and the stock-out period must be an integer multiple of the basic period. The goal of the inventory management is to minimize the inventory cost per unit time, considering that this inventory cost is the sum of the costs of holding, backlogging and ordering. Thus, the objective function of the inventory problem depends on two integer decision variables: the number of basic periods contained in an inventory cycle and the number of basic periods that constitute the stock-in period. The optimal inventory policy is found through a two-dimensional search method. This procedure is based on the properties of the inventory cost function. An algorithmic approach to calculate the economic order quantity and the optimal inventory cycle that minimize the total cost per unit time is proposed. The theoretical results are discussed and illustrated with some numerical examples. Finally, a sensitivity analysis of the optimal policy with respect to some parameters of the inventory model is developed. (C) 2019 Elsevier Ltd. All rights reserved.
机译:分析了具有电力需求模式的商品的确定性库存模型,该模型允许积压的短缺。库存周期必须是固定时间段(称为基本周期)的整数倍。在此基本时间段内,需求遵循电力需求模式。整个库存周期中未满足的需求已完全积压,缺货期必须是基本期的整数倍。库存管理的目标是使每单位时间的库存成本最小化,因为该库存成本是持有,积压和订购成本的总和。因此,库存问题的目标函数取决于两个整数决策变量:库存周期中包含的基本周期数和构成库存期的基本周期数。通过二维搜索方法找到最优库存策略。此过程基于库存成本函数的属性。提出了一种计算经济订单数量和最佳库存周期的算法,该算法使单位时间的总成本最小。对理论结果进行了讨论并通过一些数值示例进行了说明。最后,针对库存模型的某些参数,对最优策略进行了敏感性分析。 (C)2019 Elsevier Ltd.保留所有权利。

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