This methodology is used to predict the performance of an asset by considering:
Reliability: Probability that an item (asset or system) will perform its intended function without failure when used as intended over a designated period of time under specified conditions of use and operation
Availability: Probability that an item will perform satisfactorily when called upon ro do so under given conditions
Maintainability: Probability that an item can be restored to a satisfactory operating condition under the specified conditions within a specified period of time by personnel with the prescribed skill levels, resources and procedures.
thyssenkrupp Uhde simulates the process units of a given plant by:
collecting data (asset-related performance)
validating the data format
selecting an analysis method
selecting a model following an evaluation process
performing a RAM analysis
analyzing the results & preparing a detailed report.
Estimates of production availability
Identification of “bad actors”
System reliability analysis (calculatation of MTTR, MTBF)
System availability analysis (calculation of uptime, downtime, availability, etc.)
System maintainability analysis (determination of optimum preventive maintenance intervals, spare parts supply, etc.)
Throughput calculation (identification of bottlenecks, estimation of production capacity, etc.)
Process design
Spare part philosophy
Mobilization times and contracts
Preventive maintenance strategy
Life cycle cost estimation
Industry performance data
Link to computerized maintenance management systems (CMMS)
Identification of critical components (reliability importance measures)
Optimum reliability allocation.