Aggregate production planning in the automotive industry with special consideration of workforce flexibility

Thomas Sillekens (1) , Achim Koberstein (2) , Leena Suhl (3)

1 DAIMLER AG
2 Decision Support and Operations Research Lab
3 Decision Support and Operations Research Lab

We present a new mixed integer linear programming approach for the problem of aggregate production planning of flowshop production lines in the automotive industry. Our model integrates production capacity planning and workforce flexibility planning. In contrast to traditional approaches it considers discrete capacity adaptations which originate from technical characteristics of assembly lines as well as from work regulations and shift planning. In particular, our approach takes change costs into account and explicitly represents a working time account via a linear approximation. A solution framework containing different primal heuristics and preprocessing techniques is embedded into a decision support system. Finally, we present an illustrative case study and computational results on problem instances of practically relevant complexity.

Mots clés: Physical Sciences

Thomas Sillekens, Achim Koberstein, Leena Suhl. Aggregate production planning in the automotive industry with special consideration of workforce flexibility. International Journal of Production Research, 2010, pp.1. ⟨10.1080/00207543.2010.524261⟩. ⟨hal-00647964⟩