Comparison between simultaneous and iterative resolutions for generalized cell formation problems with a Genetic Algorithm

Actually, lean manufacturing is a must to improve productivity and reduce cost. One of the tools of lean is cellular manufacturing. This technique subdivides the factory to several small entities, which are easier to manage. The algorithm proposed in this paper is based on the simultaneous resolution of two interdependent problems. These two problems emerge when the notion of flexibility is introduced in the production process. This paper demonstrates the efficiency of the simultaneous resolution through a unique adapted genetic algorithm compared to a sequential resolution with iterations. © 2012 IFAC.SCOPUS: cp.p