Machine-cell grouping in cellular manufacturing systems using non-traditional optimisation techniques - A comparative study

In this paper, the machine-cell grouping problem is considered with the obj ective of minimising the total moves and minimising the cell load variation . We first review the literature on machine-cell grouping involving meta-he uristics. Then we integrate the most Powerful non-traditional algorithms, g enetic algorithm (GA) and simulated annealing (SA) with the most robust com puter programming language "C", for cell grouping. The computational result s obtained by applying the genetic algorithm and simulated annealing are co mpared for their efficiency in solving the machine-cell grouping problems.