Risk Assessment of the Fishing Vessel Main Engine by Fuzzy-FMEA Approach

Maintenance of the Fishing vessel's main engine by a risk assessment of critical components in the system is a crucial factor for operating fishing vessels. This article analyzes the main engine's risk level using the fuzzy-FMEA model. The system components and their failure modes were obtained by direct observation of eight fishing vessels in Batam, Indonesia. The evaluation resulted in a ranking of critical components in a row using C-RPN analysis, namely the injector (200.61), injection pump (159.94), and fuel filter (95.09). In comparison, the F-RPN analysis resulted in changes in the values of the critical components, respectively, namely the injector (454.80), injection pump (358.42), and fuel tank (293.48). The F-RPN value in the investigated analysis is more accurate because in evaluating the data entered, the risk parameter index of the evaluation results. The fuzzy-FMEA model has the advantage of accurately assessing the level of component failure risk on the main engine of fishing vessels because it has accuracy in getting the value of potential risk on C-FMEA in entering risk parameter indicator data. Fuzzy-FMEA model contributes to the existing knowledge of maintenance planning by using risk analysis on critical components of the main engine of fishing vessels.