Spare parts management: Linking distributional assumptions to demand classification
Spare parts management: Linking distributional assumptions to demand classification
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DOI：
10.1016/j.ejor.2013.12.043
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发表时间：
2014-06
期刊：
影响因子：
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通讯作者：
D. Lengu;A. Syntetos;M. Z. Babai
中科院分区：
文献类型：
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作者：
D. Lengu;A. Syntetos;M. Z. Babai
众所周知，备件与间歇性需求模式有关，由于其复合性质，使得正态假设无效，因此这种模式在预测和库存控制方面造成了相当大的问题。复合分布已被用来模拟间歇性的需求模式，但缺乏理论分析和相关的经验证据来支持这些分布。在本文中，我们进行了详细的实证调查的各种复合泊松分布的拟合优度，我们开发了一个基于分布的需求分类方案的有效性也进行了评估的经验。我们的实证调查提供了支持某些需求分布的证据，本文描述的工作应该有助于在真实的世界备件库存背景下选择此类分布的任务。在这方面的参数估计相关的困难进行了广泛的讨论。
Spare parts are known to be associated with intermittent demand patterns and such patterns cause considerable problems with regards to forecasting and stock control due to their compound nature that renders the normality assumption invalid. Compound distributions have been used to model intermittent demand patterns; there is however a lack of theoretical analysis and little relevant empirical evidence in support of these distributions. In this paper, we conduct a detailed empirical investigation on the goodness of fit of various compound Poisson distributions and we develop a distribution-based demand classification scheme the validity of which is also assessed in empirical terms. Our empirical investigation provides evidence in support of certain demand distributions and the work described in this paper should facilitate the task of selecting such distributions in a real world spare parts inventory context. An extensive discussion on parameter estimation related difficulties in this area is also provided.