Minimizing work overload in mixed model assembly lines: A case study from truck industry

Karim Aroui (1) , Gülgün Alpan (1) , Yannick Frein (1)

1 G-SCOP_GCSP - Gestion et Conduite des Systèmes de Production

In this article, we consider the mixed model assembly line sequencing problem with work overload minimization (MMSP-W). We consider an assembly line having operators with different characteristics. We propose a formulation based on a linear programming approach. The model is implemented using the CPLEX solver. Numerical tests are carried out on generated data and on an industrial case study from a truck assembly line. Computational results demonstrate the considerable improvements obtained in comparison to the traditional car sequencing approach.

Mots clés: Mixed model assembly line; linear programming; work overload; sequencing

Domaines: Recherche opérationnelle [math.OC]

Karim Aroui, Gülgün Alpan, Yannick Frein. Minimizing work overload in mixed model assembly lines: A case study from truck industry. 5th International Conference on Information Systems, Logistics and Supply Chain Connecting worlds ILS 2014, Aug 2014, Breda, Netherlands. ⟨hal-01061444⟩