Affiliations: [a]
Department of Operations Management & Strategy, School of Management, State University of New York at Buffalo, Buffalo, NY, USA
| [b]
School of Industrial Engineering and Engineering Optimization Research Group, College of Engineering, University of Tehran, Tehran, Iran
| [c] LCFC, Arts et Métiers ParisTech, Metz, France
| [d]
Universal Scientific Education and Research Network (USERN), Tehran, Iran
Correspondence:
[*]
Corresponding author. Reza Tavakkoli-Moghaddam, School of Industrial Engineering, College of Engineering, University of Tehran, Tehran, Iran. E-mail: [email protected].
Abstract: In his paper, a bi-objective balancing model for U-shaped mixed-model assembly lines to minimize total costs as well as the workload of stations, considering zoning constraints and task duplications is presented. In order the uncertain nature of the input data (i.e. monetary and time data), an interactive fuzzy possibilistic programming approach has been applied, and the bi-objective nature of the presented model is treated via an efficient multi-criteria decision analysis-DEA based approach. Finally, applicability of the presented model and its effectiveness is tested on a real industrial case study.
