Conceptual approach for integrating condition monitoring information and spare parts forecasting methods
Conceptual approach for integrating condition monitoring information and spare parts forecasting methods
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DOI：
10.1080/21693277.2014.943431
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发表时间：
2014-01-01
影响因子：
4.1
通讯作者：
Cordes, Ann-Kristin
中科院分区：
文献类型：
--
作者：
Hellingrath, Bernd;Cordes, Ann-Kristin
需要精确估计部件故障以及系统故障，以减少或避免机器停机和缺货。如果足够早地检测到，机器的潜在损坏部件甚至可能导致不必存储相应的备件。为了尽可能准确地估计备件需求，本文提出了一种集成智能维修系统提供的状态监测信息和预测方法的方法。基于实例评估验证了该概念。因此，本研究的目的是提高预测质量的估计机器故障，以加强规划的备件供应链。
Precise estimation of part failures, and hence system breakdowns, is required to reduce or avoid the downtimes of machines and stock-outs. If detected sufficiently early, potentially broken parts of a machine may even lead to not necessarily having to store the respective spare part. For estimating the spare parts demand as accurately as possible, this article conceptualizes an approach for integrating condition monitoring information provided by Intelligent Maintenance Systems and forecasting methods. This concept is validated based on an example evaluation. Thus, the research objective is to improve the forecasting quality of estimated machine breakdowns in order to enhance the planning of the spare parts supply chain.