摘要：AbstractReconfigurable manufacturing system is an active field of research for more than two decades, due to its enhanced efficiency and high throughput. An important aspect of such system is process planning which assigns reconfigurable machines to different operations. This study examines the process planning problem subject to different defects and considers novel optimization criteria based on scrap cost, re-work cost, number of failed and conforming units produced by a process plan. A multi-objective model has been developed to optimize the total cost and the quality decay index of the process plan. Due to NP hard nature of the problem, a heuristic called multi-objective particle swarm optimization has been implemented and a numerical example has been analyzed. The results will help decision makers in understanding the impact of quality on process plan selection and a trade-off between different components of the proposed model.
