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The Multi-Mode Resource-Constrained Project Scheduling Problem

In: Handbook on Project Management and Scheduling Vol.1

Author

Listed:
  • JosĆ© Coelho

    (Universidade Aberta)

  • Mario Vanhoucke

    (Ghent University
    Vlerick Business School
    University College London)

Abstract

This chapter reports on a new solution approach for the multi-mode resource-constrained project scheduling problem (MRCPSP, MPS | prec | C max ). This problem type aims at the selection of a single activity mode from a set of available modes in order to construct a precedence and a (renewable and nonrenewable) resource-feasible project schedule with a minimal makespan. The problem type is known to be š¯’© š¯’« $$\mathcal{N}\mathcal{P}$$ -hard and has been solved using various exact as well as (meta-)heuristic procedures. The new algorithm splits the problem type into a mode assignment and a single mode project scheduling step. The mode assignment step is solved by a satisfiability (SAT) problem solver and returns a feasible mode selection to the project scheduling step. The project scheduling step is solved using an efficient meta-heuristic procedure from literature to solve the resource-constrained project scheduling problem (RCPSP). However, unlike many traditional meta-heuristic methods in literature to solve the MRCPSP, the new approach executes these two steps in one run, relying on a single priority list. Straightforward adaptations to the pure SAT solver by using pseudo boolean nonrenewable resource constraints has led to a high quality solution approach in a reasonable computational time. Computational results show that the procedure can report similar or sometimes even better solutions than found by other procedures in literature, although it often requires a higher CPU time.

Suggested Citation

  • JosĆ© Coelho & Mario Vanhoucke, 2015. "The Multi-Mode Resource-Constrained Project Scheduling Problem," International Handbooks on Information Systems, in: Christoph Schwindt & JĆ¼rgen Zimmermann (ed.), Handbook on Project Management and Scheduling Vol.1, edition 127, chapter 0, pages 491-511, Springer.
  • Handle: RePEc:spr:ihichp:978-3-319-05443-8_22
    DOI: 10.1007/978-3-319-05443-8_22
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    Cited by:

    1. Hartmann, Sƶnke & 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.

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