Analysis of Perishable-Inventory Systems with Censored Demand Data
Analysis of Perishable-Inventory Systems with Censored Demand Data
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DOI：
10.1287/opre.1080.0553
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发表时间：
2008-07
期刊：
影响因子：
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通讯作者：
Xiangwen Lu;Jing-Sheng Song;Kaijie Zhu
中科院分区：
文献类型：
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作者：
Xiangwen Lu;Jing-Sheng Song;Kaijie Zhu
我们考虑一个具有不可观察的销售损失的易腐产品的多期库存系统。需求分布参数是未知的，使用基于审查的历史销售数据的贝叶斯方法定期更新。我们开发了一阶最优性条件的显式表达式，证明了问题的关键权衡。结果概括了文献中这种权衡的部分特征。结果表明，近视解是最优库存水平的下界。它还使我们能够量化信息的预期边际价值。
We consider a multiperiod inventory system of a perishable product with unobservable lost sales. Demand distribution parameters are unknown and are updated periodically using the Bayesian approach based on the censored historical sales data. We develop an explicit expression of the first-order condition for optimality that demonstrates the key trade-off of the problem. The result generalizes partial characterizations of this trade-off in the literature. It shows that the myopic solution is a lower bound on the optimal inventory level. It also enables us to quantify the expected marginal value of information.