IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-3-540-93775-3_14.html
   My bibliography  Save this book chapter

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
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    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. 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.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    8. 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.
    9. 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.
    10. 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.
    11. 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.
    12. 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.
    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.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:sprchp:978-3-540-93775-3_14. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.