机会主义的报贩问题:定义可转售物品的最佳购买数量,这些物品的价值可能会升值

IF 1.4 Q3 OPERATIONS RESEARCH & MANAGEMENT SCIENCE Decision Science Letters Pub Date : 2023-01-01 DOI:10.5267/j.dsl.2022.11.001
Francesco Zammori, Giovanni Romagnoli, Serena Filippelli
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引用次数: 1

摘要

对于报贩问题(NvP),我们指的是一类特定的库存管理问题,它适用于单个产品在单个时间段内的随机需求。在标准版本中,报贩可以在观察到实际需求之前发出单一订单。由于报贩可能面临由于销售损失或剩余库存而导致的超龄和未成年人成本,因此目标是确定使预期利润最大化的最优订单规模。在本文中,我们考虑了NvP的一个特定版本,在这个版本中,由于机会主义原因,买方有机会下最后一次订单。具体来说,我们考虑的是停产的、可收藏的物品,这些物品的需求不会消失,其价值可能会升值。因此,目标是定义在商品退出市场或售罄之前应该购买的最优数量,以及在价格上涨超过预定义的目标水平时应该出售的最优数量。在库存成本可忽略和不可忽略的情况下,都得到了期望利润最大化的最优解。在后一种情况下,为了得到隐式最优解,需要一些简化的假设。因此,最后进行了彻底的数值分析,作为经验证明模型的鲁棒性和准确性的一种方式,在不同的成本和客户需求的情况下。
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The opportunistic newsvendor problem: Defining the optimal purchase quantity of resalable items, whose value may appreciate
With Newsvendor Problem (NvP) we refer to a specific class of inventory management problems, valid for a single item with stochastic demand over a single period. In the standard version, the newsvendor is allowed to issue a single order, before he or she can observe the actual demand. Since the newsvendor can face both overage and underage costs, due to lost sales or residual stock, the objective is to define the optimal order size that maximizes the expected profit. In this paper, we consider a specific version of the NvP, in which the buyer has the opportunity to make a last and single order for opportunistic reasons. Specifically, we consider discontinued, collectible items, for which demand will not vanish and whose value might appreciate. Hence, the objective is to define the optimal quantity that should be purchased, just before the item is retired from the market or sold-out, and that should be sold as soon as the price rises over a predefined target level. An optimal solution, maximizing the expected profit, is obtained both in case of negligible and non-negligible stockholding costs. In the latter case, to obtain the optimal solution in implicit form, some simplifying assumptions are needed. Hence, a thorough numerical analysis is finally performed, as a way to empirically demonstrate both the robustness and the accuracy of the model, in several scenarios differentiated in terms of costs and customers’ demand.
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来源期刊
Decision Science Letters
Decision Science Letters Decision Sciences-Decision Sciences (all)
CiteScore
3.40
自引率
5.30%
发文量
49
审稿时长
20 weeks
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