Risk Analysis Using Job Safety Analysis-Fuzzy Integration for Ship Maintenance Operation

Abstract

Shipyard is an industry engaged in the maintenance and repair of ship and construction of a new ship. In ship repair operations, there are many activities in this operation. Propeller inspection, blasting, replating, welding, general work, electric work is an activity in ship repair operation. This research proposed a methodology to risk analysis ship maintenance operation, integrating Job Safety Analysis (JSA) with Bayesian Network (BN) and Fuzzy Inferences System (FIS). JSA method is used to find the hazards and the consequences of the maintenance operation. BN is developed for probability calculating of likelihood factors. Meanwhile, the FIS are used as a method to calculate the risk level. The FIS using Mamdani algorithm based on expert’s knowledge and experience. The integration of three methods is use too complete the risk assessment for replating activities . The proposed method is used to find out the risk level of replating activity on ship maintenance. Based on the result, the proposed model is more accurate, precise, and flexible depend on the basic factor that influence the operation. It will help to reduce the potential accident on operation. This proposed method could be the other option as a tool to calculate risk assessment in other operations .