engleski

Datawarehousing in Maintenance and Maintenance Intelligence

Classical CMM systems enable tracing of every activity related with maintenance, but using of all these data for decision making in maintenance is rather difficult. There is a gap between the amount of available data and the respective analytic capabilities. Despite of huge amount of collected data, companies suffer today from lack of useful information. In this article, building of data warehouse or data marts for maintenance processes is proposed. During the process of data loading into the data warehouse (data staging process), the data are cleansed by specific algorithms and integrated with other data from different sources. A special care is paid for data quality assurance. Using user-friendly analysis tools which enable operations like drill-down, drill-up, slicing and dicing, gives the user an opportunity to obtain useful information about maintenance related processes. Applying of analysis tools based on fuzzy logic and neural networks gives a solid foundation for knowledge-based strategic decisions. In the article, some examples of data warehousing and analysis results for maintenance in Croatian National Electricity will be given.

Maintenance; Data Warehouse; Data Mining; Business Intelligence

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