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Scheduling Tests in Automotive R&D Projects Using a Genetic Algorithm

In: Handbook on Project Management and Scheduling Vol. 2

Author

Listed:
  • Jan-Hendrik Bartels

    (Consultant at McKinsey & Company)

  • Jürgen Zimmermann

    (Clausthal University of Technology)

Abstract

For each car model an automotive manufacturer has to perform hundreds of tests on prototype vehicles before mass production can be started. In this chapter we present heuristic methods for scheduling the individual tests in automotive R&D projects such that the number of required experimental vehicles and hence the testing costs are minimized. The problem at hand can be interpreted as a multi-mode resource-constrained project scheduling problem with minimum and maximum time lags and cumulative resources. We present forward and backward variants of a priority-rule based method as well as a genetic algorithm based on an activity list representation. The presented methods are examined in a comprehensive computational study.

Suggested Citation

  • Jan-Hendrik Bartels & Jürgen Zimmermann, 2015. "Scheduling Tests in Automotive R&D Projects Using a Genetic Algorithm," International Handbooks on Information Systems, in: Christoph Schwindt & Jürgen Zimmermann (ed.), Handbook on Project Management and Scheduling Vol. 2, edition 127, chapter 0, pages 1157-1185, Springer.
  • Handle: RePEc:spr:ihichp:978-3-319-05915-0_22
    DOI: 10.1007/978-3-319-05915-0_22
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    Citations

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    Cited by:

    1. 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.
    2. 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.
    3. Davari, Morteza & Ranjbar, Mohammad & De Causmaecker, Patrick & Leus, Roel, 2020. "Minimizing makespan on a single machine with release dates and inventory constraints," European Journal of Operational Research, Elsevier, vol. 286(1), pages 115-128.

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