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Learning Effect on Stock-policies with Imperfect Quality and Deteriorating Items under Trade Credit

机译:贸易信贷对质量不完善,品项恶化的股票政策的学习效果

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In reality, the learning effect is a phenomenon which occurs almost every where in which, the employees executing a new task will perform better eventually after fluent reiterations. The learning effect acts as a considerable function for cost reduction and maximizing the profit. The basic concept of the EOQ model is that 100% of the articles in an ordered lot are of good quality but this concept is not practically justifiable for the production process owing to product deterioration and related factors. The objective of this paper is to exhibit as to what will be the influence of trade credit financing on the ordered quantity as well as on the corresponding profit derived from the deteriorating items with imperfect quality under the learning effect. Trade-credit financing is an efficacious policy for industrial businesses to formulate selling strategies and increase their sales in order to earn more profits within the specified limits. Keeping in mind such a concept, this paper investigates the inventory model for retailers dealing with imperfect quality and deteriorating items with credit financing under the learning effect. This model optimizes the ordered quantity by maximizing the total profit and in order to exhibit as to what will be the trade credit financing's influence on the ordered quantity as well as on the corresponding profit, it deals with imperfect quality deteriorating items too under the learning effect. Mathematical models for the same have been verified with the help of numerical examples. Conclusively, sensitive analysis has been presented.
机译:实际上,学习效果是一种现象,这种现象几乎发生在所有地方,执行新任务的员工经过反复重申后最终将表现更好。学习效果是降低成本和最大化利润的重要功能。 EOQ模型的基本概念是订购的批次中100%的商品质量良好,但由于产品质量下降和相关因素,该概念在生产过程中实际上不合理。本文的目的是展示在学习效果下,贸易信贷融资对订购数量以及从质量不完善的恶化项目中获得的相应利润的影响。贸易信贷融资是工业企业制定销售策略并增加其销售量的有效政策,以便在指定的范围内获得更多的利润。牢记这一概念,本文研究了在学习效果下,零售商应对质量不佳和信贷融资恶化的物品的库存模型。该模型通过最大化总利润来优化订购数量,并且为了展示贸易信贷融资将对订购数量以及相应利润产生什么影响,在学习效果下,它也处理不完善的质量下降项目。借助数值示例,已经验证了相同的数学模型。结论是,已经提出了敏感性分析。

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