Using Particle Swarm Optimization to Solving Multi-Objective Master Production Schedule with Application

This paper aims to use Particle Swarm Optimization (PSO) to solve multi-objective master production schedule problems, which is one of the NP-Hard problems, in addition to apply the MPS in the Northern General Company for Cement with his five plants. The application involves determination of the available energy of each plant by calculating the availability,in addition to the determine the overall requirements by demand forecasting using neural networks. The PSO proved its efficiency in solving MPS problem compared with the genetic algorithm, as the results clearly showed the superiority of the PSO on genetic algorithm in all targets. and we write the programs using (Matlab R2012a) language for this purpose.