MATEC Web of Conferences · 2019 · 18 citations · 2 references
Total Quality ManagementSoftware MaintenanceEngineeringBusiness IntelligenceBusiness AnalyticsKnowledge Discovery In DatabasesIndustrial Data MiningData ScienceData MiningManagementData Pre-processingKnowledge Discovery ProcessQuantitative ManagementAnalytic ApplicationPredictive AnalyticsAdvanced AnalyticsKnowledge DiscoveryMro OrganizationsPredictive MaintenanceManagement AnalyticsMaintenance ManagementData Analytics
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.
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