Open Science Research Excellence
%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 International 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)
%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