Supply chains in automotive industry are both very complex and highly dynamic. Thus any approach for mastering this complexity and dynamics has to be considered. In this contribution we apply approaches from global optimization. The context is a supply chain scenario related to a truck plant. We demonstrate how in a fixed, but rolling, period of time the daily orders for each partner in the supply net can be optimized with respect to the overall costs. This investigation is to be understood as a starting point for applying methods of modern optimization to supply net management.