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首页> 外文期刊>Mathematical Methods in the Applied Sciences >Retailer's optimal ordering policy in the EOQ model with imperfect-quality items under limited storage capacity and permissible delay
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Retailer's optimal ordering policy in the EOQ model with imperfect-quality items under limited storage capacity and permissible delay

机译:零售商在EOQ模型中的最佳订购策略,具有限制存储容量和允许延迟的不完美质量项目

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摘要

With a view to reducing inventory and increase sales, a supplier frequently offers its buyers a permissible delay in payment to attract new retailers for bulk purchase, and so extra storage spaces are needed for the buyers. Moreover, in a real environment, some defective items are produced because not only the production processes but also the inspection processes are not perfect, thereby generating defects then resulting in extra costs. Keeping these facts in mind, this article proposes a profit-maximizing economic order quantity model that incorporates both imperfect production quality and permissible delay in payments in the case when the own warehouse with limited capacity is not sufficient to store the ordered quantity and, therefore, a rented warehouse is needed to store the excess units over the capacity of the owned warehouse. Mathematical model and solution procedures are developed with major insight into its functional characteristics. Numerical examples and sensitivity analysis are provided to illustrate and analyze the model performances. It is observed that our model has significant impacts on the optimal lot size and the optimal profit of the mathematical model, which is considered in this article.
机译:为了减少库存和增加销售额,供应商经常为买家提供允许延迟支付,以吸引新的零售商进行批量购买,因此买家需要额外的存储空间。此外,在真实环境中,产生一些有缺陷的物品,因为不仅生产过程而且检查过程也不完美,因此产生缺陷然后导致额外的成本。本文记住这些事实,提出了一种利润最大化的经济秩序数量模型,该数量模型融合了不完美的生产质量和允许拖延在案例中,在拥有有限的容量不足以存储有序数量,因此,需要租用的仓库,以将多余的单位存储在所有仓库的容量上。数学模型和解决方案程序是通过重大洞察其功能特征而开发的。提供了数值例子和灵敏度分析来说明和分析模型性能。据观察,我们的模型对本文中考虑的数学模型的最佳批量大小和最佳利润产生了重大影响。

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