%0 Journal Article %A R. Sahraian and A. Karampour Haghighi and E. Ghasemi %D 2011 %J International Journal of Industrial and Manufacturing Engineering %B World Academy of Science, Engineering and Technology %I Open Science Index 55, 2011 %T A Multi-Objective Optimization Model to the Integrating Flexible Process Planning And Scheduling Based on Modified Particle Swarm Optimization Algorithm (MPSO) %U https://publications.waset.org/pdf/12745 %V 55 %X Process planning and production scheduling play important roles in manufacturing systems. In this paper a multiobjective mixed integer linear programming model is presented for the integrated planning and scheduling of multi-product. The aim is to find a set of high-quality trade-off solutions. This is a combinatorial optimization problem with substantially large solution space, suggesting that it is highly difficult to find the best solutions with the exact search method. To account for it, a PSO-based algorithm is proposed by fully utilizing the capability of the exploration search and fast convergence. To fit the continuous PSO in the discrete modeled problem, a solution representation is used in the algorithm. The numerical experiments have been performed to demonstrate the effectiveness of the proposed algorithm. %P 1535 - 1542