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A Perishable Inventory Model with Return

机译:一个易腐库存模型回报

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摘要

In this paper, we develop a mathematical model for a perishable inventory with return by assuming deterministic demand and inventory dependent demand. By inventory dependent demand, it means that demand at certain time depends on the available inventory at that time with certain rate. In dealing with perishable items, we should consider deteriorating rate factor that corresponds to the decreasing quality of goods. There are also costs involved in this model such as purchasing, ordering, holding, shortage (backordering) and returning costs. These costs compose the total costs in the model that we want to minimize. In the model we seek for the optimal return time and order quantity. We assume that after some period of time, called return time, perishable items can be returned to the supplier at some returning costs. The supplier will then replace them in the next delivery. Some numerical experiments are given to illustrate our model and sensitivity analysis is performed as well. We found that as the deteriorating rate increases, returning time becomes shorter, the optimal order quantity and total cost increases. When considering the inventory-dependent demand factor, we found that as this factor increases, assuming a certain deteriorating rate, returning time becomes shorter, optimal order quantity becomes larger and the total cost increases.
机译:在本文中,我们通过假设确定性需求和库存依赖需求来开发一种易腐库存的数学模型。通过库存依赖需求,这意味着在特定时间内需求取决于当时的可用库存,具备一定的速率。在处理易腐物品时,我们应该考虑恶化的速率因子,这些因素对应于降低货物质量。也有涉及的费用在这个模型中,如采购,订货,控股,荒(逾期定单)和返回的费用。这些成本撰写了我们想要最小化的模型中的总成本。在模型中,我们寻求最佳返回时间和订单数量。我们假设在一段时间后,称为返回时间,可以以一些返回成本返回给供应商的易腐物品。供应商将在下一次交货中替换它们。给出了一些数值实验说明我们的模型和敏感性分析也是如此。我们发现,随着损耗的速度增加,返回时间变短,最佳顺序数量和总成本增加。在考虑库存依赖性需求因素时,我们发现当该因子增加时,假设某种劣化速率,返回时间变短,最佳顺序量变大,总成本增加。

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