A Model for Stochastic Cellular Manufacturing Problem With Queuing Theory Approach

are represented by (M) and (G) respectively. Since cell formation problems are NP-hard, using exact methods may be a time-consuming task. Hence such meta-heuristic algorithms as PSO and GA are used to solve the problems. Taguchi method is also adopted to adjust the parameters of proposed algorithms. Moreover, in order to check and verify the efficiency of meta-heuristic algorithms, LINGO software is used to compare the obtained results with the results achieved by exact methods in terms of both quality and the time required to solve the problems. Finally, all the computational results obtained by solving the algorithms are statistically analyzed to reveal that PSO algorithm is more effective in soling the model.