*the purpose of this paper is to model two problems comprising schedule-allocate (in case of producing identical parts) andsequencing of parts (in case of producing different parts). *e first model is used for minimizing the cycle time and operationalcost, and the second one for minimizing both the mean and standard deviation of the total production cost as well the cycle time,in an unreliable three-machine robotic cell which confronted with many uncertainty factors. In the current article, mathematicalmodelling and simulation-based optimization method have been presented to schedule-allocate similar parts and trace theoptimal sequence of different parts. Several solution procedures, including epsilon-constraint method and multiobjective particleswarm optimization algorithm, for identical parts case and response surface methodology for different parts case are applied. *eresults derived from solving numerical examples revealed some advantages in terms of time to attain the optimal solution.
