A simulation model for network unreliable manufacturing system with stochastic processing times and random failures

The article discusses a network failure-prone system. The current research aimed to determine the optimal production rate and the optimal preventive maintenance time for machines. Due to uncertainties in the problem, including stochastically machine breakdown, stochastic processing times and variable demand, the discrete event simulation method has been used for modeling the problem, and the SA algorithm has been used to determine the optimal decision variables. Since it is not possible to provide a mathematical model for the problem, the simulation method and the SA algorithm have been combined, and in fact, the SA algorithm has been coded in the ARENA software and presented a hedging point policy for the mentioned system.