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SERVICE-ORIENTED PERFORMANCE OF INVENTORY MODELS WITH PARTIAL INFORMATION ON UNIMODAL DEMAND LEAD-TIME DISTRIBUTIONS

机译:服务导向的库存模型性能,部分信息有关单峰需求延期时间分布的部分信息

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摘要

Facing uncertainty in demand, companies try to avoid stock-outs by holding safety inventories, depending on a pre-set customer service level. The knowledge of the demand distribution during lead-time serves to determine the safety inventory level. Many times the distribution is not fully known, except maybe for its range, mean or variance. However literature shows that the performance of holding safety stock strongly depends on the characteristics of the distribution. One option is to protect against the worst case distribution given some information like range or moments. But this worst case is a two-point distribution, bringing unbelief to managers that such an occurrence would ever appear. Mostly they share the opinion that the demand distribution is unimodal. This research develops a technique to derive the safety stock for unimodal demand distributions of which the mode either is known or can be estimated. In this way, the managers obtain solutions to the decision problem including a higher belief that the related type of distribution might appear in practice.
机译:面对需求的不确定性,公司试图通过持有安全库存来避免库存,具体取决于预先设定的客户服务水平。在延期时间期间的需求分布的知识用于确定安全库存水平。许多次分发尚不完全知道,除了它的范围,均值或方差。然而,文学表明,保持安全股票的性能强烈取决于分布的特征。一个选项是在给定诸如范围或时刻的一些信息,保护最坏的情况分发。但是这个最糟糕的情况是两点分布,为管理者带来了不相信,这会出现这种情况。主要是他们分享需求分布是单峰的意见。该研究开发了一种技术来推导出在哪个不值得的需求分布的安全库存,其中模式是已知的或可以估计。通过这种方式,管理人员可以获得决策问题的解决方案,包括更高的信念,即在实践中可能出现相关类型的分布。

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