文章基本信息

标题：Data analytics case studies in the maintenance, repair and overhaul (MRO) industry
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作者：Maurice Pelt ; Konstantinos Stamoulis ; Asteris Apostolidis 等
期刊名称：MATEC Web of Conferences
电子版ISSN：2261-236X
出版年度：2019
卷号：304
页码：1-8
DOI：10.1051/matecconf/201930404005
语种：English
出版社：EDP Sciences
摘要：Data analytics seems a promising approach to address the problem of unpredictability in MRO organizations. The Amsterdam University of Applied Sciences in cooperation with the aviation industry has initiated a two-year applied research project to explore the possibilities of data mining. More than 25 cases have been studied at eight different MRO enterprises. The CRISP-DM methodology is applied to have a structural guideline throughout the project. The data within MROs were explored and prepared. Individual case studies conducted with statistical and machine learning methods, were successfully to predict among others, the duration of planned maintenance tasks as well as the optimal maintenance intervals, the probability of the occurrence of findings during maintenance tasks.