TAILIEUCHUNG - Designing a manufacturing cell system by assigning workforce

In this paper, we have proposed a new model for designing a Cellular Manufacturing System (CMS) for minimizing the costs regarding a limited number of cells to be formed by assigning workforce. | Designing a manufacturing cell system by assigning workforce Journal of Industrial Engineering and Management JIEM, 2019 – 12(1): 13-26 – Online ISSN: 2013-0953 – Print ISSN: 2013-8423 Designing a Manufacturing Cell System by Assigning Workforce Ashkan Ayough1 , Behrouz Khorshidvand2 1 Shahid Beheshti University (Iran), 2Islamic Azad University (Iran) a_ayough@, Received: December 2017 Accepted: June 2018 Abstract: Purpose: In this paper, we have proposed a new model for designing a Cellular Manufacturing System (CMS) for minimizing the costs regarding a limited number of cells to be formed by assigning workforce. Design/methodology/approach: Pursuing mathematical approach and because the problem is NP-Hard, two meta-heuristic methods of Simulated Annealing (SA) and Particle Swarm Optimization (PSO) algorithms have been used. A small randomly generated test problem with real-world dimensions has been solved using simulated annealing and particle swarm algorithms. Findings: The quality of the two algorithms has been compared. The results showed that PSO algorithm provides more satisfactory solutions than SA algorithm in designing a CMS under uncertainty demands regarding the workforce allocation. Originality/value: In the most of the previous research, cell production has been considered under certainty production or demand conditions, while in practice production and demand are in a dynamic situations and in the real settings, cell production problems require variables and active constraints for each different time periods to achieve better design, so modeling such a problem in dynamic structure leads to more complexity while getting more applicability. The contribution of this paper is providing a new model by considering dynamic production times and uncertainty demands in designing cells. Keywords: cell production, group

• Quản trị kinh doanh
• Designing a manufacturing cell system
• Manufacturing cell system by assigning workforce
• Manufacturing cell system
• Particle swarm optimization
• Meta heuristic methods of Simulated Annealing