فهرست نشریات علمی دسترسی آزاد ایران

This study introduces an unreliable stochastic job shop with random job arrivals. Due to some complexities in solving the problem analytically, simulation-based optimization is employed here. The problem is modeled using enterprise dynamics software, and the optimal value of the decision variables is obtained using the Taguchi method. This study has three decision variables and two objectives. The goals are makespan and the sum of holding, shortage, and maintenance costs. This study endeavors to obtain the optimal value of dispatching rules, preventive maintenance time, and buffer level to minimize the objective functions. The proposed method is evaluated by a numerical problem, appropriate dispatching rules, and optimal preventive maintenance period and optimal buffer level are determined. This model can be used for any objective and distribution functions of processing times and failures. The novelty of this study may be considering failure prone job shop in dynamic conditions and stochastic processing times and failures and random job arrivals.