Monte Carlo Simulation Based Optimization of Port Grain Trasportation System Reliability

In this paper, there is presented a simulation technique which is related to a system reliability under operation conditions that varies over time. The Monte Carlo (MC) simulation is implemented and as a consequence, the parameters that are unknown for port grain transportation system (PGTS) operation process (OP) and there are identified its crucial reliability characteristics. There are also determined transient probabilities which are optimal for this OP at its distinct states and an optimal unconditional reliability function (OURF). At last, there are proposed several suggestions concerned with an OP modification to improve the reliability.