Reliability Centered Maintenance (RCM)
Reliability centered maintenance (RCM) is a procedure for determining maintenance strategies based on reliability techniques and encompasses well-known analysis methods such as failure mode effects and criticality analysis (FMECA), fault tree analysis and reliability block diagram analysis. Reliability centered maintenance (RCM) procedures take into account the prime objectives of a maintenance programme:
- Minimise Costs
- Meet Safety and Environmental Goals
- Meet Operational Goals
The reliability centered maintenance (RCM) process often begins with a failure mode and effects analysis that identifies the critical plant failure modes in a systematic and structured manner. The process then requires the examination of each critical failure mode to determine the optimum maintenance policy to reduce the severity of each failure. The chosen maintenance strategy must take into account cost, safety, environmental and operational consequences. The effects of redundancy, spares costs, maintenance crew costs, equipment ageing and repair times must be taken into account along with many other parameters.
Once optimal maintenance policies have been recorded the reliability centered maintenance (RCM) process provides system performance predictions and costs, expected spares requirements and maintenance crew manning levels. The reliability centered maintenance (RCM) process may be used to develop a living strategy with the plant model being updated when new data is available or design changes take place.
The RCMCost computer program provides the full framework for building the RCM model to represent your system. It provides facilities for storing RCM data and analysing maintenance alternatives. It provides simulation algorithms to predict lifetime maintenance costs, spares costs and usage, maintenance crew manning requirements, safety and environmental risks and operational performance. In addition RCMCost identifies critical failure modes and compares the cost, safety and operational benefits of different maintenance intervals. The program is designed to combine well-established reliability prediction techniques with engineering experience. The program does not decide on which maintenance policy or combination of policies to adopt. Instead it advises the individual user or workgroup based on the operational data provided. The program may be used to filter the most critical item (component) failures before detailed maintenance decisions are made.
RCMCost provides interactive graphical facilities for constructing a block diagram representing the logical connection between the sub-systems and items constituting the overall plant or system. This diagram may be extended to represent critical functions, their functional failures and their causes (engineering failure modes). System effects are identified which contribute to outage and operational costs as well as safety and environmental risks. The relative severity of different effects is identified by the user. This structured method for identifying failure modes and linking them with their effects on the system is known as Failure Mode Effects and Criticality Analysis (FMECA) and is a powerful analysis process in its own right. RCMCost allows flexible user-defined reports to be produced highlighting the most important contributors to operational costs and safety and environmental risks.
RCMCost provides a database facility for storing failure data, maintenance parameters, spares information and maintenance crew details. This data is used to provide advisory information based on simulation models incorporated in the program. For example, different maintenance intervals may be compared for their effect on maintenance and operational costs. The user may then record the decision on which maintenance policy (if any) to adopt. This decision may include combinations of:
- Scheduled Preventive Maintenance Tasks
- Condition Monitoring Alarms
- On-Condition Inspections
- Inspections for Hidden Failures
RCMCost will automatically advise the user on the overall cost, safety and environmental benefits of adopting a particular maintenance policy based on the data provided by the user. The program’s flexible report facility allows RCM worksheets to be produced identifying the user’s decisions.
Once the maintenance policy has been decided for all the critical system components RCMCost will provide predicted spares requirements, maintenance crew manning levels, system costs and operational performance data.
As new data is gathered during the plant lifetime or system design changes are made RCM related data may be easily modified and maintenance procedures may be adjusted to reflect the living status of the plant.
For more information on RCMCost and other reliability programs visit www.isograph-software.com.
- Reliability Workbench
- Reliability Prediction
- FMECA and FMEA
- Reliability Block Diagrams
- Fault Tree Analysis
- Event Tree Analysis
- Weibull Analysis
- Markov Analysis
- Reliability Allocation
- Reliability Growth
- Report Designer
- Reliability Prediction Parts Libraries
- Enterprise System
- IEC 61508 - Safety Integrity Level (SIL) Analysis
- ISO 26262 (Functional safety)
- Download Reliability Workbench
- Request Information Pack