A RAM design of a rolling stock system

In this paper, we deal with a RAM design problem for components in a rolling stock system and consider expected life cycle cost and system availability as optimization criteria. We want to determine the RAM target value (MTBF, MTTR) of components in the rolling stock satisfying requirements of system performance measures. We propose an algorithm to obtain near optimal values based on meta-heuristics by simulation considering constraints of cost and technology. We also study numerical examples to investigate the effect of model parameters to the optimal solution.