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Temporal Analysis of Projects Under Interval Uncertainty

In: Handbook on Project Management and Scheduling Vol. 2

Author

Listed:
  • Christian Artigues

    (UniversitƩ de Toulouse)

  • Cyril Briand

    (UniversitƩ de Toulouse)

  • Thierry Garaix

    (Ɖcole Nationale SupƩrieure des Mines de Saint-Ɖtienne)

Abstract

Given an activity-on-node network where every activity has an uncertain duration represented by an interval, this chapter takes an interest in computing the minimum and maximum earliest start times, latest start times and floats of all activities over all duration scenarios. The basic results from the literature are recalled and efficient solving algorithms are detailed. A particular focus is put on the computation of minimum float, which remains an š¯’© š¯’« $$\mathcal{N}\mathcal{P}$$ -hard optimization problem. For this last case, a recent and efficient branch and bound algorithm is described that outperforms previously proposed methods.

Suggested Citation

  • Christian Artigues & Cyril Briand & Thierry Garaix, 2015. "Temporal Analysis of Projects Under Interval Uncertainty," International Handbooks on Information Systems, in: Christoph Schwindt & JĆ¼rgen Zimmermann (ed.), Handbook on Project Management and Scheduling Vol. 2, edition 127, chapter 0, pages 911-927, Springer.
    • Handle: RePEc:spr:ihichp:978-3-319-05915-0_11
    DOI: 10.1007/978-3-319-05915-0_11
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