%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