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Optimization of Complex Items in CMMS: Enhancing Equipment Reliability and Decision Making

This document explores the optimization of complex items within a Computerized Maintenance Management System (CMMS). It defines complex items as groups of components with multiple failure modes, making them essential for efficient monitoring and analysis. EXAKT data models facilitate the analysis by mapping relationships and populating data automatically. It highlights strategies to attach external databases and create decision-making databases (DMDR) that guide maintenance decisions. The final model emphasizes age-independent reliability, providing crucial insights into failure risks and cost functions that enhance overall equipment effectiveness.

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Optimization of Complex Items in CMMS: Enhancing Equipment Reliability and Decision Making

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  1. CBM Optimization – Complex items • An item is a group of components that is convenient to monitor and analyze together • Equipment units, as defined in the CMMS asset register are, in general, well defined items. • A complex item is an item with more than one significant failure mode.

  2. EXAKT data model These are data mapping tables. They enable the analysis of complex items and are automatically populated by EXAKT in the mapping procedure to be discussed in Slide 5

  3. Attach external database(s) to the analysis

  4. General project data

  5. Data mapping of the first failure mode on Gearbox A

  6. Build the proportional hazard model Age not significant. So fix shape parameter to one.

  7. Final model – reliability is age independent

  8. Transition and Decision models

  9. Cost function

  10. Decisions

  11. Creating the DMDR database

  12. Attach the DMDR database tables

  13. Store decision model

  14. EXAKT for decisions

  15. Attach DMDR tables

  16. Create a report list and run the models

  17. Graphics Conditional Distribution Function Conditional Density Function Replacement Decision Failure Risk

  18. All Units report

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