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Modeling and optimazing of strategic and tactical production planning in the automotive industry under uncertainty

In: Supply Chain Planning

Author

Listed:
  • Ralf Bihlmaier

    (Daimler AG, Group Research and Advanced Engineering)

  • Achim Koberstein

    (DS & OR Lab, University of Paderborn)

  • René Obst

    (DS & OR Lab, University of Paderborn)

Abstract

This work considers the strategic flexibility and capacity planning under uncertain demands in production networks of automobile manufacturers. We present a deterministic and a stochastic model, which extend existing approaches, especially by an anticipation scheme for tactical workforce planning. This scheme is compared to an extended formulation of the deterministic model, which incorporates workforce planning via detailed shift models. The stochastic model is efficiently solved by an accelerated decomposition approach. The solution approach is integrated into a decision support system, which calculates minimum-cost product allocations and capacity plans. Our numerical results show that, in spite of the considerably increased complexity, our approach can efficiently handle hundreds of scenarios. Finally, we present an industrial case study.

Suggested Citation

  • Ralf Bihlmaier & Achim Koberstein & René Obst, 2009. "Modeling and optimazing of strategic and tactical production planning in the automotive industry under uncertainty," Springer Books, in: Herbert Meyr & Hans-Otto Günther (ed.), Supply Chain Planning, pages 367-392, Springer.
    • Handle: RePEc:spr:sprchp:978-3-540-93775-3_14
    DOI: 10.1007/978-3-540-93775-3_14
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    Citations

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    Cited by:

    1. Sahling, Florian & Kayser, Ariane, 2016. "Strategic supply network planning with vendor selection under consideration of risk and demand uncertainty," Omega, Elsevier, vol. 59(PB), pages 201-214.
    2. Smirnov, Dina & van Jaarsveld, Willem & Atan, Zümbül & de Kok, Ton, 2021. "Long-term resource planning in the high-tech industry: Capacity or inventory?," European Journal of Operational Research, Elsevier, vol. 293(3), pages 926-940.
    3. Lin, James T. & Chen, Tzu-Li & Chu, Hsiao-Ching, 2014. "A stochastic dynamic programming approach for multi-site capacity planning in TFT-LCD manufacturing under demand uncertainty," International Journal of Production Economics, Elsevier, vol. 148(C), pages 21-36.
    4. Teodor Gabriel Crainic & Mike Hewitt & Francesca Maggioni & Walter Rei, 2021. "Partial Benders Decomposition: General Methodology and Application to Stochastic Network Design," Transportation Science, INFORMS, vol. 55(2), pages 414-435, March.
    5. Schneider, Michael & Grahl, Jörn & Francas, David & Vigo, Daniele, 2013. "A problem-adjusted genetic algorithm for flexibility design," International Journal of Production Economics, Elsevier, vol. 141(1), pages 56-65.
    6. Marius Häntsch & Arnd Huchzermeier, 2013. "Identifying, analyzing, and assessing risk in the strategic planning of a production network: the practical view of a German car manufacturer," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 24(2), pages 125-158, July.
    7. Pavlo Glushko & Csaba I. Fábián & Achim Koberstein, 2022. "An L-shaped method with strengthened lift-and-project cuts," Computational Management Science, Springer, vol. 19(4), pages 539-565, October.
    8. Corominas, Albert & Lusa, Amaia & Olivella, Jordi, 2012. "A detailed workforce planning model including non-linear dependence of capacity on the size of the staff and cash management," European Journal of Operational Research, Elsevier, vol. 216(2), pages 445-458.
    9. Jörn Grahl & Michael Schneider & David Francas, 2010. "A Problem-Specific and Effective Metaheuristic for Flexibility Design," Working Papers 1001, Gutenberg School of Management and Economics, Johannes Gutenberg-Universität Mainz, revised 28 Jan 2010.
    10. Volling, Thomas & Matzke, Andreas & Grunewald, Martin & Spengler, Thomas S., 2013. "Planning of capacities and orders in build-to-order automobile production: A review," European Journal of Operational Research, Elsevier, vol. 224(2), pages 240-260.
    11. Mariel, Katharina & Minner, Stefan, 2017. "Benders decomposition for a strategic network design problem under NAFTA local content requirements," Omega, Elsevier, vol. 68(C), pages 62-75.
    12. Mariel, Katharina & Minner, Stefan, 2015. "Strategic capacity planning in automotive production networks under duties and duty drawbacks," International Journal of Production Economics, Elsevier, vol. 170(PB), pages 687-700.
    13. Moritz Julius Ziegler & Kilian Seifried & Philipp Kuske & Moritz Fleischmann, 2019. "TRUMPF Uses a Mixed Integer Model as Decision Support for Strategic Production Network Design," Interfaces, INFORMS, vol. 49(3), pages 213-226, May.

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