Speaker
Description
Reliability Centered Maintenance is known to be one of main strategies used to insure this goal. However, it involves many preventive maintenance campaigns that are costly. Thus, the purpose of this thesis is to model and evaluate the current reliability centered maintenance and determine how it can be enhanced using an agent-based simulation approach. The method of this study is a combined case study and simulation modelling methods. A drilling asset was purposefully selected for the case, considering three agents: The overall system, main equipment, and auxiliary equipment. The simulated system availability is about 95.8 %. The actual availability is about 96.16 %, based on the historical failure data which is used to validate the simulated results. Additionally, the availability based on the reliability theory and historical data is also estimated around 99.9%. It can be concluded that the agent-based simulation model is the most effective to match the actual availability compared to the traditional estimation-based reliability block diagram that overestimates the availability.
Keywords: Reliability Centered Maintenance, Simulation Modelling, Agent based Modelling, System Availability, Drilling Assets.
