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Scheduling tests in automotive R&D projects

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  • Bartels, J.-H.
  • Zimmermann, J.

Abstract

In automotive R&D projects a major part of development cost is caused by tests which utilize expensive experimental vehicles. In this paper, we introduce an approach for scheduling the individual tests such that the number of required experimental vehicles is minimized. The proposed approach is based on a new type of multi-mode resource-constrained project scheduling model with minimum and maximum time lags as well as renewable and cumulative resources. We propose a MILP formulation, which is solvable for small problem instances, as well as several variants of a priority-rule based method that serve to solve large problem instances. The developed solution methods are examined in a comprehensive computational study. For a real-world problem instance it is shown that the introduced approach may enhance the current methods applied in practice.

Suggested Citation

  • Bartels, J.-H. & Zimmermann, J., 2009. "Scheduling tests in automotive R&D projects," European Journal of Operational Research, Elsevier, vol. 193(3), pages 805-819, March.
    • Handle: RePEc:eee:ejores:v:193:y:2009:i:3:p:805-819
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    References listed on IDEAS

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    Cited by:

    1. Daniel Reich & Yuhui Shi & Marina Epelman & Amy Cohn & Ellen Barnes & Kirk Arthurs & Erica Klampfl, 2016. "Scheduling Crash Tests at Ford Motor Company," Interfaces, INFORMS, vol. 46(5), pages 409-423, October.
    2. Hartmann, Sönke & Briskorn, Dirk, 2008. "A survey of variants and extensions of the resource-constrained project scheduling problem," Working Paper Series 02/2008, Hamburg School of Business Administration (HSBA).
    3. Fündeling, C.-U. & Trautmann, N., 2010. "A priority-rule method for project scheduling with work-content constraints," European Journal of Operational Research, Elsevier, vol. 203(3), pages 568-574, June.
    4. Christian Weckenborg & Karsten Kieckhäfer & Thomas S. Spengler & Patricia Bernstein, 2020. "The Volkswagen Pre-Production Center Applies Operations Research to Optimize Capacity Scheduling," Interfaces, INFORMS, vol. 50(2), pages 119-136, March.
    5. Briskorn, Dirk & Choi, Byung-Cheon & Lee, Kangbok & Leung, Joseph & Pinedo, Michael, 2010. "Complexity of single machine scheduling subject to nonnegative inventory constraints," European Journal of Operational Research, Elsevier, vol. 207(2), pages 605-619, December.
    6. Hartmann, Sönke & Briskorn, Dirk, 2010. "A survey of variants and extensions of the resource-constrained project scheduling problem," European Journal of Operational Research, Elsevier, vol. 207(1), pages 1-14, November.
    7. Florian Mischek & Nysret Musliu, 2021. "A local search framework for industrial test laboratory scheduling," Annals of Operations Research, Springer, vol. 302(2), pages 533-562, July.
    8. Briskorn, Dirk & Choi, Byung-Cheon & Lee, Kangbok & Leung, Joseph & Pinedo, Michael, 2009. "Genetic algorithms for inventory constrained scheduling on a single machine," Manuskripte aus den Instituten für Betriebswirtschaftslehre der Universität Kiel 649, Christian-Albrechts-Universität zu Kiel, Institut für Betriebswirtschaftslehre.
    9. Weglarz, Jan & Józefowska, Joanna & Mika, Marek & Waligóra, Grzegorz, 2011. "Project scheduling with finite or infinite number of activity processing modes - A survey," European Journal of Operational Research, Elsevier, vol. 208(3), pages 177-205, February.
    10. Shi, Yuhui & Reich, Daniel & Epelman, Marina & Klampfl, Erica & Cohn, Amy, 2017. "An analytical approach to prototype vehicle test scheduling," Omega, Elsevier, vol. 67(C), pages 168-176.
    11. Simon Emde & Hamid Abedinnia & Anne Lange & Christoph H. Glock, 2020. "Scheduling personnel for the build-up of unit load devices at an air cargo terminal with limited space," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 42(2), pages 397-426, June.
    12. Patrick Gerhards, 2020. "The multi-mode resource investment problem: a benchmark library and a computational study of lower and upper bounds," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 42(4), pages 901-933, December.
    13. Simone König & Maximilian Reihn & Felipe Gelinski Abujamra & Alexander Novy & Birgit Vogel-Heuser, 2023. "Flexible scheduling of diagnostic tests in automotive manufacturing," Flexible Services and Manufacturing Journal, Springer, vol. 35(2), pages 320-342, June.

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