Navid Darvish Ghaderi - M.Sc Industrial Engineering, Mazandaran Institute of Technology, Babol, Iran
Ramezan Nemati Keshteli - Department of Industrial Engineering, Faculty of Engineering-East of Guilan, Guilan university,Vajargah, Iran
Pooya Zandkarimi - Department of industrial engineering, B.Sc Industrial Engineering

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.

Cellular Production; Multi-objective Model; Meta Heuristic Algorithms; MOSA; NSGAII; Epsilon Constraint