Reliability Centered Maintenance

Cedar RCM - Reliability Centered Maintenance is a software that helps you select PM policies based on reliability which is also known as the RCM process. Failure Data Analysis by calculating the technical parameters Statistics for each Failure Mode Can select the PM job and the appropriate interval to stop the unplanned breakdown that satisfies target Reliability.


Reports of Asset/Equipment Technical Performance Indices of MTBF, MTTF, Availability, Cost/Unit Uptime etc.

Support Maintenance Performance Budgeting

Supports Maintenance Performance Budgeting on both Cost and Cost Control


Outcome of RCM ready for Technical Asset Performance benchmarking and helps in making decisions for machine improvements efficiently.

Cost & Loss

Better Cost and Loss Control


Lower Breakdown jobs reduce Downtime and Loss. Loss

Reduced Part Demands

Adjust part demands for PM (direct purchase) and CM (Stock Parts) to most appropriate level

Cost Reduction and Work Efficiency

Turn Breakdowns to Planned Jobs. Better work execution by more effective planning


  • Receive Equipment information individually or Many items can be uploaded from Cedar® CMMS or IDYL®-PM.
  • Supports SAE standard: JA-1011, JA-1012 – Task selection
  • Cedar® RAM – Reliability Centered Maintenance supports FMECA based on MIL-1629 – Equipment / Function / Failure Mode Criticality analysis.
  • Failure Data Management can create a Failure Data Library.
  • FMECA Functions
  • Failure Data Analysis Function to calculate Statistical Parameters of Failure
  • Asset Reliability Function
  • PM Optimization, and the risk of breaking down.
  • Planned and Unplanned Maintenance Analysis is the estimated amount of PM and CM work that could happen.
  • Connect with SPO with the amount of spare parts you need to use to make a purchasing plan and the calculation of spare parts stock level
  • Report Maintenance Cost / Up Time
  • Planned Maintenance Optimization with Optimum (Optimum cost) and machine availability (Optimum availability)
  • Analyse the appropriate timing for PM Interval optimization and calculate the amount of Unplanned Maintenance.
  • Work Package by arranging PM Task as appropriate