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Control Model of Optimal Storage for Products with Random Replenishment Intervals and Time-Varying Deterioration Rate

机译:随机补货间隔和时变恶化率的产品最优存储控制模型

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In inventory management, many types of products with volatility or corrosiveness, such as coal, may decay in quality as time goes. However, these characteristics often have a significant impact on fnventory strategies. So this paper aimed to give an inventory optimization solution to minimize the total cyclic costs for these products. In the following mathematical model, we assume (i) deterioration rate varies linearly with time; (ii) demand is a constant; (iii) the lack of the stock is not allowed. Also the supplier takes replenishing interval as a continuous random variable in a cyclical replenishment. Results show that the optimal storage level depends on the probability distribution of the replenishment interval and the lower level needs high costs; and provides a theoretical foundation for retailers in controlling actual replenishment.
机译:在库存管理中,随着时间的流逝,许多类型的具有挥发性或腐蚀性的产品(例如煤)的质量可能会下降。但是,这些特征通常会对库存策略产生重大影响。因此,本文旨在提供一种库存优化解决方案,以最大程度地降低这些产品的总循环成本。在下面的数学模型中,我们假设(i)退化率随时间线性变化; (ii)需求是一个常数; (iii)不允许缺货。另外,供应商在周期性补货中将补货间隔作为连续随机变量。结果表明,最佳存储水平取决于补货间隔的概率分布,较低的存储水平则需要较高的成本。并为零售商控制实际补货提供了理论基础。

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