Abstract
A Fuzzy Genetic Algorithm (FGA) is used to treat uncertainties associated with unit costs of maintenance of Liquefied Natural Gas (LNG) carrier systems such as a containment system and a transfer arm. A Fuzzy Rule Base (FRB) is established to identify the unit costs of maintenance of the LNG containment system and transfer arm. It includes 125 LNG carrier maintenance cost rules, with technical consultancy cost, maintenance duration, and spare part cost as the antecedents and maintenance cost as the consequent. The outcome from the FRB is used to optimise a risk model using a Genetic Algorithm (GA) approach to find the optimal maintenance cost of each system with provided information on their respective time of interest, failure probability, failure frequency and maintenance cost of the whole LNG carrier system.
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