@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},