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Use of VNS heuristics for scheduling of patients in hospital

Author

Listed:
  • S Vlah

    (University of Zagreb)

  • Z Lukač

    (University of Zagreb)

  • J Pacheco

    (University of Burgos)

Abstract

One of the important problems in hospital management is how to schedule the treatments of resident patients in hospital for a given day due to the restrictions imposed by their medical condition as well as restrictions on medical machines and qualified medical personnel availability. Patients are to be subjected to different kinds of treatments, each requiring a medical machine of a certain type as well as a physician being qualified to operate it. This is a highly complex problem not yet adequately addressed in the literature. At present in most hospitals the problem is being solved manually by specialized personnel. However, the resulting schedules are very often inaccurate and inefficient with patients waiting for a long time to be treated and medical personnel often working overtime. In this paper we formulate the model for this problem and develop a simple and efficient method based on Variable Neighbourhood Search for solving it. The heuristics has been tested on real-life as well as on generated instances. Numerical results show that the heuristics proposed outperform commercial software for optimization as well as manual solutions both in quality of solution and in computational time.

Suggested Citation

  • S Vlah & Z Lukač & J Pacheco, 2011. "Use of VNS heuristics for scheduling of patients in hospital," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 62(7), pages 1227-1238, July.
    • Handle: RePEc:pal:jorsoc:v:62:y:2011:i:7:d:10.1057_jors.2010.73
    DOI: 10.1057/jors.2010.73
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    References listed on IDEAS

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    1. Chern, Ching-Chin & Chien, Pei-Szu & Chen, Shu-Yi, 2008. "A heuristic algorithm for the hospital health examination scheduling problem," European Journal of Operational Research, Elsevier, vol. 186(3), pages 1137-1157, May.
    2. Belií«n, Jeroen & Demeulemeester, Erik, 2008. "A branch-and-price approach for integrating nurse and surgery scheduling," European Journal of Operational Research, Elsevier, vol. 189(3), pages 652-668, September.
    3. Hansen, Pierre & Mladenovic, Nenad, 2001. "Variable neighborhood search: Principles and applications," European Journal of Operational Research, Elsevier, vol. 130(3), pages 449-467, May.
    4. C Vasilakis & B G Sobolev & L Kuramoto & A R Levy, 2007. "A simulation study of scheduling clinic appointments in surgical care: individual surgeon versus pooled lists," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 58(2), pages 202-211, February.
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    6. de Souza, Mauricio C. & Martins, Pedro, 2008. "Skewed VNS enclosing second order algorithm for the degree constrained minimum spanning tree problem," European Journal of Operational Research, Elsevier, vol. 191(3), pages 677-690, December.
    7. Negenman, Ebbe G., 2001. "Local search algorithms for the multiprocessor flow shop scheduling problem," European Journal of Operational Research, Elsevier, vol. 128(1), pages 147-158, January.
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    Cited by:

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