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Optimal price and lot size determination for a perishable product under conditions of finite production, partial backordering and lost sale

机译:在有限产量,部分缺货和损失销售的情况下确定易腐产品的最佳价格和批量大小

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The paper describes an EOQ model of a perishable product for the case of price dependent demand, partial backordering which depends on the length of the waiting time for the next replenishment, and lost sale. The model is solved analytically to obtain the optimal price and size of the replenishment. In the model, the customers are viewed to be impatient and a fraction of the demand is backlogged. This fraction is a function of the waiting time of the customers. In most of the inventory models developed so far, researchers considered that inventory accumulates at the early stage of the inventory and then shortage occurs. This type of inventory is called IFS (inventory followed by shortage) policy. In the present model we consider that shortage occurs before the starting of inventory. We have proved numerically that instead of taking IFS, if we consider SFI (shortage followed by inventory) policy, we would get better result, i.e., a higher profit. The model is extended to the case of non-perishable product also. The optimal solution of the model is illustrated with the help of a numerical example.
机译:本文针对价格依赖的需求,部分延期交货的情况描述了易腐产品的EOQ模型,部分延期交货取决于下一次补货的等待时间长短以及销售损失。通过解析求解模型,以获取最佳价格和补货规模。在该模型中,客户被视为没有耐心,部分需求被积压。该分数是客户等待时间的函数。到目前为止,在开发的大多数库存模型中,研究人员都认为库存在库存的早期积累,然后出现短缺。这种类型的库存称为IFS(库存紧随其后的库存)策略。在当前模型中,我们认为短缺是在库存开始之前发生的。我们已经用数字证明了,如果不考虑IFS,如果考虑采用SFI(短缺紧随库存)政策,我们将获得更好的结果,即更高的利润。该模型也扩展到不易腐烂产品的情况。借助数值示例说明了模型的最佳解决方案。

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