Optimal Solution for a FMS Loop Layout Using Multi-Objective Genetic Algorithm

Abstract

The overall performance of Flexible Manufacturing Systems (FMS) can be improved considerably by optimal design and planning before its implementation. The design of the loop layout with an objective of finding an arrangement of machines around that loop, which minimizes the total travel distance of an Automated Guided Vehicle (AGV), plays an important role in achieving high performance in an FMS. The present paper studied about the minimization of the total distance travelled by AGV for different part types by considering the clearances between the machines. Multi objective Genetic Algorithm (GA) toolbox in MATLAB is used for the optimization of FMS loop layout. Both uni-directional loop layout and bi-directional loop layout were studied and results are compared. It is found that the MATLAB toolbox can be used effectively for solving multi-objective FMS loading problem.