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Heuristical labour scheduling to optimize airport passenger flows

Author

Listed:
  • S Casado

    (Facultad C. Económicas y Empresariales, Pza. Infanta Elena, s/n.)

  • M Laguna

    (University of Colorado)

  • J Pacheco

    (Facultad C. Económicas y Empresariales, Pza. Infanta Elena, s/n.)

Abstract

We describe the development and implementation of a decision support system for the optimization of passenger flow by trading off service quality and labour costs at an airport. The system integrates a simulation module with an optimization module that requires that Dantzig's labour scheduling problem be solved in the order of thousands of times. We developed a customized scatter search to give the system the capability of finding high-quality solutions to the labour scheduling problems in short computational times. Our experiments verify that our scatter search implementation meets the needed requirements.

Suggested Citation

  • S Casado & M Laguna & J Pacheco, 2005. "Heuristical labour scheduling to optimize airport passenger flows," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 56(6), pages 649-658, June.
  • Handle: RePEc:pal:jorsoc:v:56:y:2005:i:6:d:10.1057_palgrave.jors.2601859
    DOI: 10.1057/palgrave.jors.2601859
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    References listed on IDEAS

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    2. Lin, Shih-Wei & Ying, Kuo-Ching, 2014. "Minimizing shifts for personnel task scheduling problems: A three-phase algorithm," European Journal of Operational Research, Elsevier, vol. 237(1), pages 323-334.
    3. Van den Bergh, Jorne & Beliën, Jeroen & De Bruecker, Philippe & Demeulemeester, Erik & De Boeck, Liesje, 2013. "Personnel scheduling: A literature review," European Journal of Operational Research, Elsevier, vol. 226(3), pages 367-385.
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    5. W L Ng & S C H Leung & J K P Lam & S W Pan, 2008. "Petrol delivery tanker assignment and routing: a case study in Hong Kong," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 59(9), pages 1191-1200, September.

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