Optimizing reconfigurable manufacturing systems: A Simulation-based Multi-objective Optimization approach

Application of reconfigurable manufacturing systems (RMS) plays a significant role in companies’ success the current fiercely competitive market. Despite RMS’s advantages, designing these to achieve high-efficiency level is complex and challenging task that requires use optimization techniques. This study proposes simulation-based approach for optimal allocation work tasks resources (i.e., machines) workstations. Three conflictive objectives, namely maximizing throughput, minimizing buffers’ capacity, number machines, are optimized simultaneously while considering system’s stochastic behavior desired configuration.