BI-Cycle Analysis analyzes groups of equipment that the user selects in the data warehouse, offering unsurpassed flexibility, speed and clarity. Within seconds, the user has all relevant maintenance and reliability measures at his disposal for every equipment in his plant (600,000 or more equipment is no exception).
BI-Cycle Analysis provides four powerful analysis functions:
|Standard OLAP produces maintenance history OLAP reports with clarifying and easy to understand charts and drilldown grids.|
|(Key) Performance Indicators
calculates maintenance indicators, identifying key problem areas such as
components with high numbers of maintenance-induced failures, or the
component manufacturer with the highest mean repair time. You can sort
equipment or components according to these measures, enabling the
compositions of various top 10's. For example:
|Advanced Analysis assists in optimizing maintenance plans. This function compares the results of different Preventive Maintenance programs on similar equipment to deduct optimal maintenance intervals. To find the optimal maintenance tasks per equipment; among others, it calculates reliability statistics on different failure modes (FMECA table), Weibull fits and Survival functions.|
offers an intuitive stepwise RCM and RBI based approach supported by a plant's own operating history.
The implemented maintenance decisions are stored in an Oracle database such that a link to the ERP/MMS is preserved. The tool comes with a Web based project administrator to integrate project results and decisions on the company Intranet.