Worker Training in Dynamic Virtual Cellular Manufacturing System with Production Planning

This paper develops a mathematical model in dynamic virtual cellular manufacturing systems with the multiperiod cell formation problem, production planning, dynamic virtual system reconfiguration and training workers. Since workers have important role in doing jobs on machines, assignment of workers to cells becomes a crucial factor in cellular manufacturing system. Also we have shown the role of training in increasing workers' flexibility and efficiency of resources is leading to more production, decrees total costs, in all over planning. The advantages of the proposed model are consideration of multi-period planning horizons with demand and part mix variation, machine capacity, and available time of worker and worker assignment. The aim of the proposed model is to minimize the holding and backorder costs, and training costs of worker. Finally, to validate and verify the proposed model, computational results are presented by solving a number of numerical examples, with the linearized formulation.