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Pricing and Inventory Decisions of Multi-item Deteriorating Inventory System under Stock, Time and Price Sensitive Demand Policy

机译:在库存,时间和价格敏感需求政策下的多项恶化库存系统的定价和库存决策

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In most of the inventory like food, fashion, electric materials, building materials, a retailer needs to maintain varieties of different inventory items. On the other hand, racks overflowing with a large number of quantities in an inventory attracts the attention of more customers. Besides, the selling price is a crucial factor in demand based on marketing and economic theory. Assimilating all these variates, the present paper advocates a multi-item single-period inventory model that generalizes the pricing and inventory policy for instantaneous deteriorating items. A time-varying, price-sensitive, and stock dependent demand function has been formulated. Shortages are allowed and partially backlogged. The model is developed under a known initial inventory. An iterative algorithm has been incorporated to find the optimal procedure. The prime objective of this model is to determine the selling price, time length up to zero inventory, optimal lot size so that the profit of the retailer will be maximized. The model is demonstrated with a numerical example which is followed by a sensitivity analysis.
机译:在大多数食品,时尚,电材料,建筑材料等库存中,零售商需要维护不同库存物品的品种。另一方面,库存中耗尽了大量数量的机架吸引了更多客户的注意力。此外,销售价格是基于营销和经济理论的需求的关键因素。本文吸收所有这些变体,本文倡导多项单期库存模型,概括了瞬时恶化项目的定价和库存政策。已经制定了时变,价格敏感和股票依赖性需求功能。允许和部分积压短缺。该模型是在已知的初始清单下开发的。已融合迭代算法以找到最佳过程。该模型的主要目标是确定销售价格,时间长度归零库存,最佳批量尺寸,使零售商的利润将最大化。使用数值示例对模型进行说明,然后是灵敏度分析。

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