Safety stock determination based on parametric lead time and demand information
Safety stock determination based on parametric lead time and demand information
复制标题
基于参数提前期和需求信息确定安全库存
DOI：
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发表时间：
2010
期刊：
影响因子：
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通讯作者：
F. Mahmoodi
中科院分区：
文献类型：
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作者：
A. Ruiz;F. Mahmoodi
在需求和交货期可变的许多生产环境中，需要大量的安全库存，以确保及时生产和交付最终产品。用于确定适当安全库存水平的传统模型可能会导致子装配和成品水平的安全库存超过必要水平，从而导致高于预期的库存持有成本。这类模型通常错误地假设提前期内的需求服从正态分布。本文回顾和分析了Estes(1973)提出的再订货点库存模型，该模型在不做任何特殊的分布假设的情况下考虑了需求和提前期的可变性。相反，它侧重于历史数据，以确定补给周期的可能结果。通过使用从电子制造商获得的三个数据集进行仿真分析，将所提出的模型与传统模型进行了比较。结果表明，无论使用何种数据集，该模型都比传统模型更接近目标服务水平，并且库存持有成本更低。
In many production environments where demand and lead times are variable, significant levels of safety stock inventory are required to assure timely production and delivery of the final product. Traditional models to determine the appropriate safety stock level may result in more safety stocks at sub-assembly and finished goods levels than necessary and thus lead to higher inventory carrying costs than desired. Such models generally incorrectly assume that the demand during the lead time follows a normal distribution. This paper revisits and analyses a re-ordering point inventory model developed by Estes (1973) that accounts for demand and lead time variability without making any particular distributional assumptions. Instead, it focuses on historical data to determine the possible outcomes of the replenishment cycle. We compare the proposed model with the traditional model by conducting simulation analysis using three data sets obtained from an electronics manufacturer. The results indicate that the proposed model yields much closer to target service levels and lower inventory carrying costs than the traditional model, regardless of the data set used.