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The GPSS Simulation of Scheduling Policies for Surgical Patients

Author

Listed:
  • N. K. Kwak

    (Saint Louis University)

  • P. J. Kuzdrall

    (University of Akron)

  • Homer H. Schmitz

    (Deaconess Hospital, St. Louis, Missouri)

Abstract

The purpose of this study is to determine and evaluate utilization levels of the operating-room and recovery-room facilities of a hospital under different policy considerations governing patient flows. The utilization rates are examined under constraints that apply to the particular hospital from which the empirical data was obtained; however, the model and approach were designed with general applications in mind. The range of values for critical timing measurements is obtained from a model employing the Monte Carlo simulation technique. The model is programmed in GPSS and was run on an IBM 360/165. An optimal policy that satisfies the "real world" constraints of an active hospital is sought. The output from the model is interpreted. It is revealed that increases in facility utilization can be made while meeting the constraints dictated by normal hospital routine, thus offering the possibility of reducing costs.

Suggested Citation

  • N. K. Kwak & P. J. Kuzdrall & Homer H. Schmitz, 1976. "The GPSS Simulation of Scheduling Policies for Surgical Patients," Management Science, INFORMS, vol. 22(9), pages 982-989, May.
    • Handle: RePEc:inm:ormnsc:v:22:y:1976:i:9:p:982-989
    DOI: 10.1287/mnsc.22.9.982
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    Cited by:

    1. Nicolas Bahou & Claire Fenwick & Gillian Anderson & Robert Meer & Tony Vassalos, 2018. "Modeling the critical care pathway for cardiothoracic surgery," Health Care Management Science, Springer, vol. 21(2), pages 192-203, June.
    2. Vernon Ning Hsu & Renato de Matta & Chung‐Yee Lee, 2003. "Scheduling patients in an ambulatory surgical center," Naval Research Logistics (NRL), John Wiley & Sons, vol. 50(3), pages 218-238, April.
    3. Adrian Fletcher & Dave Worthington, 2009. "What is a ‘generic’ hospital model?—a comparison of ‘generic’ and ‘specific’ hospital models of emergency patient flows," Health Care Management Science, Springer, vol. 12(4), pages 374-391, December.
    4. Pham, Dinh-Nguyen & Klinkert, Andreas, 2008. "Surgical case scheduling as a generalized job shop scheduling problem," European Journal of Operational Research, Elsevier, vol. 185(3), pages 1011-1025, March.

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