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Optimal pricing and lot-sizing under conditions of perishability, finite production and partial backordering and lost sale

机译:在易腐性,有限产量,部分缺货和损失销售情况下的最优定价和批量确定

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摘要

Perishable products constitute a sizable component of inventories. Common questions in a production and selling situation involving a perishable (or a non-perishable) product are: What should be the price and what should be the size of the replenishment? When demand for the product is price sensitive, pricing and lot sizing decisions are interdependent. Similarly, when a product is highly perishable, the demand may need to be bocklogged to avoid costs due to deterioration, e.g., perishability and backlogging are complementary conditions. In this paper we consider the pricing and lot sizing problem for a perishable good under finite production, exponential decay and partial backordering and lost sale. The backlogging phenomenon in the literature is often modeled using backordering and lost sale costs. These cost parameters however are not easy to estimate in practice. In this paper, we use a new approach to model backlogging of demand. In this approach, customers are viewed to be impatient. The backlogging option gets used only when it is economic to do so. We extend the analysis presented for a perishable product to the case in which the product is non-perishable.
机译:易腐产品构成库存的重要组成部分。在涉及易变质(或不易变质)产品的生产和销售情况下,常见的问题是:价格应该是多少,补充的大小应该是多少?当产品的需求对价格敏感时,定价和批量决定是相互依赖的。类似地,当产品极易腐烂时,可能需要对需求进行汇总,以避免由于变质而导致成本,例如,易腐性和积压是互补条件。在本文中,我们考虑了在有限产量,指数衰减以及部分缺货和损失销售下易腐商品的定价和批量确定问题。文献中的积压现象通常使用积压订单和损失的销售成本进行建模。然而,这些成本参数在实践中不容易估计。在本文中,我们使用一种新方法对需求积压进行建模。通过这种方法,客户被视为没有耐心。仅当经济时才使用积压选项。我们将针对易腐烂产品的分析扩展到产品不易腐烂的情况。

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