Failure Mode and Effect Criticality Analysis (FMECA) Fuzzy to Evaluate Critical Level on Main Engine Supporting System

Abstract

Main engine is an important part as the prime mover on the ship. Main engine performs its functions supported by the main engine supporting system, such as: lubricating oil system, cooling system, fuel system, etc. These systems have many components that must be maintained. This is important to ensure each component works according to its function. While a failure occurs it has an impact, especially for safety. To determine the priority of maintenance on the equipment, the risk priority level method is used. In this research, the case study taken is the cooling system. Risk priority level is determined by the failure mode and effect criticality analysis (FMECA) approach based on the risk matrix of American Bureau Shipping (ABS). FMECA results are verified using the fuzzy theory simulation method. The result of ordinary FMECA ABS shows that as many as 47 failure modes in medium risk and 28 failure modes in the low risk level. However, from analysis of FMECA fuzzy there are 19 failure modes in the medium risk level and 56 failure modes in the low risk level. The use of fuzzy simulation is useful to reduce subjectivity in giving scores. Therefore, FMECA fuzzy shows a lower level of risk than ordinary FMECA ABS.