@article{(Open Science Index):https://publications.waset.org/pdf/12745, title = {A Multi-Objective Optimization Model to the Integrating Flexible Process Planning And Scheduling Based on Modified Particle Swarm Optimization Algorithm (MPSO)}, author = {R. Sahraian and A. Karampour Haghighi and E. Ghasemi}, country = {}, institution = {}, abstract = {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.}, journal = {International Journal of Industrial and Manufacturing Engineering}, volume = {5}, number = {7}, year = {2011}, pages = {1535 - 1542}, ee = {https://publications.waset.org/pdf/12745}, url = {https://publications.waset.org/vol/55}, bibsource = {https://publications.waset.org/}, issn = {eISSN: 1307-6892}, publisher = {World Academy of Science, Engineering and Technology}, index = {Open Science Index 55, 2011}, }