A Bi-Objective Model for Worker Assignment in Cellular Manufacturing System Design Mansour Hamdia1, Mohib A.1, FahmyAly M.1, Attia H.2 1Department of Industrial Engineering, Faculty of Engineering, Fayoum University, EGYPT 2Mathematics and Engineering Department Faculty of Engineering, Fayoum University, EGYPT Online published on 31 October, 2017. Abstract Cellular manufacturing system (CMS) is a manufacturing system that produces families of parts within a cell of machines operated by a worker who plays a crucial role in running the system and determine the quality level. A bi-objective mathematical model is proposed to solve a three-dimensional part-machine-worker assignment problem that improves productivity and efficieny in CMS. The two objectives considered in this model are cost and quality. The costs include the inter-and intra-cell material handling costs as well as the production costs while the quality is calculated as overall percentage. The performance of workers on different machines is measured by the average scrap or defect rate of parts processed on each machine by dedicated workers. The novelty in this model lies in addressing the cell formation problem simultaneously with the layout planning and worker assignment problems. As the proposed problem is NP-hard, a genetic algorithm (GA) is used to effectively solve the problem. Finally, several problems from related literature were used to verify the proposed model. The results are compared to previous researches and demonstrate the advantages of the proposed integrated approach. Top Keywords Cellular Manufacturing System, Cell Formation, Facility Layout, Worker Assignment, Genetic Algorithm, Bi-Objective Optimization. Top |