Because of the failure of the internal arrangement of the plant to achieve the strategic objectives of the operations and the lack of an efficient production process flow. Cellular manufacturing emerged as a production strategy capable of solving the certain problems of complexity and long manufacturing lead times in batch production. The fundamental problem in cellular manufacturing is the formation of product families and machine cells. This research presents a new approach for obtaining machine cells and product families. The approach combines a local heuristic with a genetic algorithm(GA). Computational experience produced solution with the algorithm on a set of group technology (GT) problems available in the research is also presented. It was the application of this new entrance (genetic algorithm (GA)) in plastic bags factory in Hilla-Iraq, to the families of the design of products and machinery cells and improve the efficiency of the group for nearly 59% of those problems.

Full text: IJEIR-1522_Final.pdf