ONTARE. REVISTA DE INVESTIGACIÓN DE LA FACULTAD DE INGENIERÍA
This paper presents the application of genetic algorithms to the design process of cellular manufacturing systems, solving the formation of manufacturing cells and workload balancing simultaneously, by maximizing the effectiveness of clustering and the efficiency of the line. The process that was performed included the development of the mathematical model which was subsequently implemented and resolved at Matlab®. The performance measurement of this proposal was evaluated with test problems, for which optimal solutions were obtained and the average of replicas that were made was very close to the optimum value, with a deviation percentage of less than 1.2% regarding the last one obtained. In addition, the configuration of the obtained solutions reach adequate ce
