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A Modeling Framework for Project Staffing and Scheduling Problems

In: Handbook on Project Management and Scheduling Vol.1

Author

Listed:
  • Isabel Correia

    (Universidade Nova de Lisboa)

  • Francisco Saldanha-da-Gama

    (Universidade de Lisboa)

Abstract

This chapter addresses modeling issues associated with project staffing and scheduling problems. Emphasis is given to mixed-integer linear programming formulations. The need for such formulations is motivated and a general modeling framework is introduced, which captures many features that have been considered in the literature on project staffing and scheduling problems. The use of the general framework is then exemplified using two problems that have been addressed in the literature. Several model enhancements and preprocessing procedures are discussed.

Suggested Citation

  • Isabel Correia & Francisco Saldanha-da-Gama, 2015. "A Modeling Framework for Project Staffing and Scheduling 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 547-564, Springer.
  • Handle: RePEc:spr:ihichp:978-3-319-05443-8_25
    DOI: 10.1007/978-3-319-05443-8_25
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    Citations

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    Cited by:

    1. Volland, Jonas & Fügener, Andreas & Brunner, Jens O., 2017. "A column generation approach for the integrated shift and task scheduling problem of logistics assistants in hospitals," European Journal of Operational Research, Elsevier, vol. 260(1), pages 316-334.
    2. Bernardo F. Almeida & Isabel Correia & Francisco Saldanha-da-Gama, 2018. "A biased random-key genetic algorithm for the project scheduling problem with flexible resources," TOP: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 26(2), pages 283-308, July.
    3. Karsten Schwarz & Michael Römer & Taïeb Mellouli, 2019. "A data-driven hierarchical MILP approach for scheduling clinical pathways: a real-world case study from a German university hospital," Business Research, Springer;German Academic Association for Business Research, vol. 12(2), pages 597-636, December.

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