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The implementation of RCM methodology (Reliability Centered Maintenance – maintenance focused on reliability) enables enterprises to reduce risk by reducing the likelihood of failure and reducing the severity of its consequences. 

One of the key objectives of strategic asset management using the methodology of RCM is to ensure the building of optimum strategy of maintenance and repair that will allow to achieve the specified reliability of fixed assets at minimum cost. If you are using an effective asset strategy, your company can achieve the level of reliability of production assets, which is required in the current situation and at the same time reduce maintenance costs by performing only the necessary scope of repair influences. 

The RCM methodology allows to develop a set of activities, guarantee that the production function expected from assets in the framework of the system considered in the current operation context is fulfilled. In this analysis the main parameters are the following: a function of the units, possible failures, the probability of failure and the financial consequences in the event of failure. 

Based on the SAE standard JA1011, "Evaluation Criteria for Reliability Centered Maintenance (RCM) Processes" a quality RCM-analysis provides the research team to answer the following questions when considering a system:

  • What are the functions of the system?
  • How the system may cease to perform its functions?
  • What causes each functional failure?
  • What happens when each failure?
  • What affects the occurrence of each failure?
  • What can be done to predict or prevent each failure?

Based on conducted RCM analysis formed a necessary and sufficient list of operations in the field of asset management, on the basis of what to develop an optimal cost-effective strategy maintenance and repair of equipment. For those items of equipment in respect of which appropriate and possible maintenance "as" is determined by the list of parameters for monitoring and derived functions characterizing the state of the data units.