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Today's automotive markets are characterized by high demand volatility. As a consequence, flexibility to re-allocate production volume within the production networks is required, to match the production capacity for specific models with market demand. The sustained re-allocation of models to production lines to adjust to market demand is no longer a vision, but virtually industry standard. Hence, model plant allocation decisions are no longer a one time long term decision but a more frequent mid term planning task, for which current strategic decision support models are inadequate. Modified planning models are required to handle the increased flexibility. A modeling framework will be presented.
The electrification of the power train leads to fundamental changes in the automotive value chain. Of particular importance for OEMs is the determination of the degree of vertical integration in the battery value chain for electric vehicles. The question which parts of the battery should be manufactured in-house by OEMs and which should be sourced from suppliers is essential, since the battery has the highest value added in an electric vehicle. Our research analyses the strategies for the vertical integration in the battery value chain of 14 leading OEMs. Based on a comprehensive press and patent search, we identify four strategy archetypes with different degrees of vertical integration. Since the future market environment is uncertain, the optimal strategy cannot yet be determined. Technische Universität Braunschweig. His research interests include the development and implementation of techno-economic models for decision support and the implementation of operations research methods in various application areas. His research and consulting projects cover a wide range of industries including automotive, iron and steel, and consumer goods. He has published widely in the field of production and logistics management.
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