using multi-objective simulated annealing algorithm to solve a multi-objective facility layout problem in dynamic cellular manufacturing

in cellular production, the production system is aimed at transforming several subsystems into a cell in order to produce similar products in a cell with a higher efficiency. in this paper, a multi-objective model in the layout-routing problem of cell production with the goal of minimizing costs, maximizing the level of service to customers has been addressed and solved using the meta-heuristic algorithm mosa. the results of solving a bi-objective model using this meta-heuristic algorithm with its results in its previous solution method, the meta-heuristic algorithm nsgaii and the epsilon constraint method showed that mosa is able to provide better responses than nsgaii for large-scale issues. that is, at approximately equal times, algorithm mosa was able to produce more accurate and better answers for the second objective function.