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Exact Methods for Resource Leveling Problems

In: Handbook on Project Management and Scheduling Vol.1

Author

Listed:
  • Julia Rieck

    (Clausthal University of Technology)

  • Jürgen Zimmermann

    (Clausthal University of Technology)

Abstract

Resource leveling problems arise whenever it is expedient to reduce the fluctuations in resource utilization over time, while maintaining a prescribed project completion deadline. Several resource leveling objective functions may be defined, whose consideration results in resource profiles with desired properties, e.g., well-balanced resource profiles or profiles with a minimum number of jump discontinuities. In this chapter, we concentrate on three resource leveling problems that are known from the literature. In order to solve medium-scale instances of the considered problems, an enumeration scheme that uses problem structures is presented. Furthermore, mixed-integer (linear) programming models are introduced, and resource leveling instances are solved using CPLEX 12. In a comprehensive computational study, the performance of the described methods is analyzed.

Suggested Citation

  • Julia Rieck & Jürgen Zimmermann, 2015. "Exact Methods for Resource Leveling Problems," International Handbooks on Information Systems, in: Christoph Schwindt & Jürgen Zimmermann (ed.), Handbook on Project Management and Scheduling Vol.1, edition 127, chapter 0, pages 361-387, Springer.
    • Handle: RePEc:spr:ihichp:978-3-319-05443-8_17
    DOI: 10.1007/978-3-319-05443-8_17
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    Citations

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    Cited by:

    1. André Schnabel & Carolin Kellenbrink & Stefan Helber, 2018. "Profit-oriented scheduling of resource-constrained projects with flexible capacity constraints," Business Research, Springer;German Academic Association for Business Research, vol. 11(2), pages 329-356, September.
    2. Hartmann, Sönke & Briskorn, Dirk, 2022. "An updated survey of variants and extensions of the resource-constrained project scheduling problem," European Journal of Operational Research, Elsevier, vol. 297(1), pages 1-14.
    3. Milička, P. & Šůcha, P. & Vanhoucke, M. & Maenhout, B., 2022. "The bilevel optimisation of a multi-agent project scheduling and staffing problem," European Journal of Operational Research, Elsevier, vol. 296(1), pages 72-86.
    4. Felix Hübner & Patrick Gerhards & Christian Stürck & Rebekka Volk, 2021. "Solving the nuclear dismantling project scheduling problem by combining mixed-integer and constraint programming techniques and metaheuristics," Journal of Scheduling, Springer, vol. 24(3), pages 269-290, June.
    5. 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.
    6. Bersch, Christopher V. & Akkerman, Renzo & Kolisch, Rainer, 2021. "Strategic planning of new product introductions: Integrated planning of products and modules in the automotive industry," Omega, Elsevier, vol. 105(C).
    7. Ilia Tarasov & Alain Haït & Alexander Lazarev & Olga Battaïa, 2024. "Metric estimation approach for managing uncertainty in resource leveling problem," Annals of Operations Research, Springer, vol. 338(1), pages 645-673, July.

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