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RCM Analysis Tool

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:
Number of failures,
Trend in failures,
Maintenance costs,
Highest percentage corrective maintenance,
etc.
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.
RCM Wizard offers an intuitive stepwise RCM and RBI based approach supported by a plant's own operating history.

step 1: Determine all possible failure modes for a group of equipment
step 2: Establish the consequences on health, production and safety
step 3: Identify the corrective jobs and their costs to countermeasure those failure modes
step 4: Logically (LTA) determine the preventive maintenance jobs and their interval to avoid the critical failure modes
step 5: Compare the maintenance alternatives (i.e. the mixture of preventive jobs, condition monitoring and run to failure politics) with regard to direct maintenance costs and plant availability

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.

Reference customers:

  • Repsol
  • OREDA
  • Scania
  • Statnett
  • Vattenfall
  • Danisco
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