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Benders Decomposition Approach for Project Scheduling with Multi-Purpose Resources

In: Handbook on Project Management and Scheduling Vol.1

Author

Listed:
  • Haitao Li

    (University of Missouri)

Abstract

Staffing projects often requires both assignment and scheduling decisions to be made, which leads to a computationally demanding large-scale optimization problem. In this chapter, we show that a general class of assignment-type resource-constrained project scheduling problems (RCPSPs) can be handled by a hybrid Benders decomposition (HBD) approach. Our HBD framework extends the classical Benders decomposition method (Benders, Numer Math 4:238–252, 1962) by integrating solution techniques in math programming and constraint programming (CP). Effective cut generation schemes are devised to improve the algorithm performance. Performance of our HBD is demonstrated on a project scheduling problem with multi-skilled workforce. Extensions to the basic HBD framework are discussed.

Suggested Citation

  • Haitao Li, 2015. "Benders Decomposition Approach for Project Scheduling with Multi-Purpose Resources," International Handbooks on Information Systems, in: Christoph Schwindt & Jürgen Zimmermann (ed.), Handbook on Project Management and Scheduling Vol.1, edition 127, chapter 0, pages 587-601, Springer.
    • Handle: RePEc:spr:ihichp:978-3-319-05443-8_27
    DOI: 10.1007/978-3-319-05443-8_27
    as

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