Some insights in novel risk modeling of liquefied natural gas carrier maintenance operations

Abstract

This study discusses the analysis of various modeling approaches and maintenance techniques applicable to the Liquefied Natural Gas (LNG) carrier operations in the maritime environment. Various novel modeling techniques are discussed; including genetic algorithms, fuzzy logic and evidential reasoning. We also identify the usefulness of these algorithms in the LNG carrier industry in the areas of risk assessment and maintenance modeling.

Keywords

safety / risk / maintenance / LNG carrier / fuzzy logic / genetic algorithm / evidential reasoning

References

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