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Monte Carlo Simulation of Operating-Room and Recovery-Room Usage

Author

Listed:
  • Homer H. Schmitz

    (Deaconess Hospital, St. Louis, Missouri)

  • N. K. Kwak

    (St. Louis University, St. Louis, Missouri)

Abstract

The purpose of this paper is to provide an insight into the increased need for operating-room and recovery-room facilities and space, based on an increased bed complement. The problem is formulated into three primary questions: (1) How many more surgical procedures will be performed because of the increased bed capacity? (2) How much operating-room time and space will the surgical procedures require? (3) How much recovery-room time and space will the surgical procedures require? To answer these questions, a simulation model of the lengths of stay in the operating room and the recovery room is constructed by the Monte Carlo method, it is tested statistically and its results interpreted. This simulation model can facilitate planning, decision-making, and managerial control by providing management information.

Suggested Citation

  • Homer H. Schmitz & N. K. Kwak, 1972. "Monte Carlo Simulation of Operating-Room and Recovery-Room Usage," Operations Research, INFORMS, vol. 20(6), pages 1171-1180, December.
    • Handle: RePEc:inm:oropre:v:20:y:1972:i:6:p:1171-1180
    DOI: 10.1287/opre.20.6.1171
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    Cited by:

    1. B Zhang & P Murali & M M Dessouky & D Belson, 2009. "A mixed integer programming approach for allocating operating room capacity," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 60(5), pages 663-673, May.
    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.

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