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首页> 外文期刊>International journal of procurement management >Retailer's ordering policy for deteriorating imperfect quality items when demand and price are time-dependent under inflationary conditions and permissible delay in payments
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Retailer's ordering policy for deteriorating imperfect quality items when demand and price are time-dependent under inflationary conditions and permissible delay in payments

机译:零售商的订购政策,在通货膨胀和允许的付款延迟情况下,当需求和价格随时间而变时,劣质品质量下降

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摘要

The present paper investigates an inventory model with unreliable supply, where each received lot may have a random fraction of defective items with known distribution. Thus, the inspection of lot becomes essential in almost all the situations, especially when the items are of deteriorating in nature. Moreover, in today's competition inherited business world, organisations use many promotional tools in order to increase their sales. One such tool is a permissible delay in payments, i.e., the buyer does not have to pay for the goods purchased immediately rather can defer the payment for a prescribed period given by the supplier. Further, in today's wobbling economy, especially for long-term investment, the effects of inflation cannot be disregarded as uncertainty about future inflation may influence the ordering policy. Being motivated by these aspects, the present paper investigates the impact of inspection on retailer's ordering policy for deteriorating items under permissible delay in payments when demand and price both varies with the passage of time. Finally, the model has been analysed and validated with the help of numerical examples. A comprehensive sensitivity analysis is also presented which provides important managerial implications.
机译:本文研究了具有不可靠供应的库存模型,其中每个接收到的批次可能具有随机分布的,已知分布的次品。因此,在几乎所有情况下,尤其是当物品本质上在变质时,对批次的检查就变得至关重要。此外,在当今竞争已久的商业世界中,组织使用许多促销工具来增加销售额。一种这样的工具是允许的付款延迟,即,买方不必立即付款购买所购买的货物,而是可以将付款推迟到供应商指定的期限内。此外,在当今动荡的经济中,尤其是对于长期投资而言,通货膨胀的影响不可忽视,因为对未来通货膨胀的不确定性可能会影响订货政策。受这些方面的驱使,本文研究了当需求和价格都随着时间的推移而变化时,在允许的付款延迟情况下,检验对零售商的订购政策的影响。最后,通过数值例子对模型进行了分析和验证。还提出了全面的敏感性分析,提供了重要的管理意义。

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