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.
The research is to understand the behavior of components and systems under various operational conditions, and with various maintenance policies. Therefore, this research is expected to give policy options to management. And further, inform the likely impacts of those options. This research presents a flexible system to simulate the effect of these factors to a system its reliability, operation and the maintenance costs. The model studied consists of failure rate, time to maintain, decision to maintain (or not), degree of how good the maintenance is done, the effect on component after maintenance, the maintenance cost, and the operation cost. A case study of main engine system with its support systems is presented using previous works data. Dynamic risk is presented in this work. It makes it possible to figure more frequently updated risk; therefore, it is easier for the management to modify or to mitigate the possible risk. The simulation shows predictive results for a given scenario of system configuration, operation and maintenance decision in simulating dynamic risk. In addition, this paper is addressed to provide a user friendly tool to simulate the system risk under some designed decisions both operation condition and maintenance policy. The result of a better understanding of system behavior and the risk depend on operation and maintenance policy is expected.
SummaryThis research was build the model after marine hazard and simulate from the viewpoint of making damage by the marine hazard small not from the viewpoint of preventing a marine hazard. Elements of the model were quantified to easy to compare and examine the simulation result. Human factors, one of the elements of the model, is difficult to quantifying. So human factors was made into random number. To simulate the model which has indefinite elements used application software based on system dynamics. This research focused on after the marine hazard, the model made the risks of which extent occurs because of the change in the situation. We tried to examine the causal relation between the human factors and the occurring event risk which based on the model.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.