Concurrent Optimization of Reliability, Maintainability and Total Cost in a Job Shop Production System with Multiple Fuzzy Parameters

An integrated intelligent algorithm is proposed to optimize the reliability, maintainability, and total cost in job shop production system. The consists of three basic modules computer simulation. each comprising phases Algorithm, simulation, Experiments/robustness validation. In design phase, different scenarios are determined by changing parameters affecting cost. system simulated simulation phase. Then, a fuzzy approach implemented run model for scenario with ambiguous inputs. Accordingly, investment cost, maintenance mean time repair (MTTR), failure (MTTF) obtained. Finally, performance assessed third module. ANN DEA separately used this module preferred method selected based on robustness test extensive sensitivity analysis. then employed rank alternatives concerning initial inputs outputs. To show applicability superiority algorithm, it applied consisting five workstations.