OMAE2006-92201 OPTIMIZING SHIP MACHINERY MAINTENANCE SCHEDULING THROUGH RISK ANALYSIS AND LIFE CYCLE COST ANALYSIS

ABSTRACT Ship maintenance scheduling management integrated with risk evaluation and Life Cycle Cost (LCC) assessment approach is developed in this research. It improves upon existing practices in arranging an optimal maintenance schedule by modeling operational and economical risks. This paper researches maintenance scheduling algorithm with explicitly consider risks associated with some operation problems such as operating schedule, routes, ship position, resources availability, and achievement of reliability-availability-maintainability (RAM) of system. Modeling of components RAM with their failures consequences results risk evaluation. Time value of maintenance cost, replacement cost, earning rate, and penalty cost are also simulated. When the system reaches the lowest level of lower limit reliability, one or more components should be maintained or replaced. Since maintenance task may interrupt the operation, to minimize time-to-maintain all possible events of maintaining other components at the same time will be evaluated together with resources availability. By researching those possibilities, constraining the risk, and based on LCC calculation result, an optimal maintenance scheduling can be then well established

Study of reliability, maintainability, and availability : a case study of a shuttle tanker propulsion system

One aspect in ship propulsion system development is reliability and maintainability analysis. It is concerned with the level of confidence one has in the reliable operation of the plant. Reliability analysis deals with the configuration of the system, testing of components, extending component lifetime and component maintenance. -- This research models a ship propulsion system's reliability and maintainability in order to predict and to optimize the effectiveness of the ship propulsion system. A propulsion system of a shuttle tanker, M/T Mattea, is used as a model. The analysis is presented in the form of statistical simulations that are used for determining the reliability level and for measuring the maintainability and availability. The reason a simulation is used rather than a mathematical model is that the latter is too complex to use. The objectives of this research is to review the process of evaluating a shuttle tanker propulsion system's reliability, maintainability, availability, and to investigate the computerised simulation statistical approach to help manage the information that is required in making intelligent maintenance and repair decisions