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Retailers optimal pricing and economic order quantity in stock and price sensitive demand environment

机译:零售商在库存和价格敏感的需求环境中的最佳定价和经济订单数量

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摘要

Availability of adequate stock in stores to attract more customers is a common phenomena in the industries such as fashion apparel, electronic, high-tech, automobile industry, first moving consumer goods, etc. though the product becomes outdated after a certain period or its usefulness decreases as time progresses. But the customers are not fully satisfied with only availability and freshness of products, rather they are quite aware of the price of the product in different stores and take decisions. This inspires the departmental store managers searching the ideal selling price and stock in shelf to influence demand. In this paper, a single-item inventory model is developed, to address this issue. It is assumed that the demand is stock and price sensitive before deterioration and it is only price sensitive as soon as the deterioration starts. Instead of imposing a restriction of fixed number of price changes like earlier models with price sensitive demand, it is assumed that the decision-maker has the opportunity to set the prices before as well as after the start of deterioration. A mathematical model is developed and existence of its solution is verified. A solution procedure is presented to find optimal number of price changes, optimal selling prices and optimal lot-size to maximise profit. The model is illustrated by a numerical example.
机译:商店中有足够的库存来吸引更多客户,这是时尚服装,电子,高科技,汽车行业,先动消费品等行业的普遍现象,尽管该产品在一定时期后或使用过后会过时随着时间的流逝而减少。但是,客户对产品的可用性和新鲜度并不完全满意,而是他们很了解不同商店的产品价格并做出决定。这激发了部门商店经理寻找理想的销售价格和货架上的库存以影响需求。在本文中,开发了单项库存模型来解决此问题。假设需求在恶化之前对库存和价格敏感,并且仅在恶化开始后才对价格敏感。可以假设决策者有机会在恶化开始之前和之后设定价格,而不是像早期模型那样对价格变化具有固定数量的限制,而不是像早期模型那样对价格敏感。建立了数学模型并验证了其解的存在性。提出了一个解决程序,以找到最佳的价格变动数量,最佳的销售价格和最佳的手数以最大化利润。通过数值示例说明了该模型。

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