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Performance evaluation of operating room schedules in orthopedic surgery

Author

Listed:
  • Zexian Zeng

    (Northwestern University Feinberg School of Medicine)

  • Xiaolei Xie

    (Tsinghua University)

  • Heidi Menaker

    (University of Wisconsin Hospital and Clinics)

  • Susan G. Sanford-Ring

    (University of Wisconsin Hospital and Clinics)

  • Jingshan Li

    (University of Wisconsin)

Abstract

In orthopedic surgery department, multiple surgeries are carried out in the same operating room (OR) every day. Each surgery may have a random duration, which results in room idle time and patient waiting time. One of the major factors affecting the idle and waiting times is the schedule of surgeries in the OR. To better sequence multiple surgeries to reduce idle and waiting time, an effective performance evaluation method is needed. Although discrete event simulation can be used to evaluate the performance of surgery schedules, the long simulation time makes scheduling optimization more computationally intensive. In this paper, an analytical model to evaluate the performance of OR schedules in orthopedic surgery department is introduced. First, closed formulas to evaluate the case of two surgeries are developed and used as a building block in subsequent studies. Then, an iteration procedure is presented by aggregating every two surgeries into one using the two-surgery formula, and continuing to approach the next one, until all surgeries are aggregated into one. Using such a model, the expected idle time and waiting time for a given surgery schedule can be calculated quickly and accurately. Such a work provides an efficient performance evaluation tool that can be used for optimization of OR schedules and investigation of the impacts of different schedules.

Suggested Citation

  • Zexian Zeng & Xiaolei Xie & Heidi Menaker & Susan G. Sanford-Ring & Jingshan Li, 2018. "Performance evaluation of operating room schedules in orthopedic surgery," Flexible Services and Manufacturing Journal, Springer, vol. 30(1), pages 198-223, June.
    • Handle: RePEc:spr:flsman:v:30:y:2018:i:1:d:10.1007_s10696-016-9253-7
    DOI: 10.1007/s10696-016-9253-7
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    References listed on IDEAS

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    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. 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.
    3. John T. Blake & Joan Donald, 2002. "Mount Sinai Hospital Uses Integer Programming to Allocate Operating Room Time," Interfaces, INFORMS, vol. 32(2), pages 63-73, April.
    4. Santanu Chakraborty & Kumar Muthuraman & Mark Lawley, 2010. "Sequential clinical scheduling with patient no-shows and general service time distributions," IISE Transactions, Taylor & Francis Journals, vol. 42(5), pages 354-366.
    5. Brian Denton & James Viapiano & Andrea Vogl, 2007. "Optimization of surgery sequencing and scheduling decisions under uncertainty," Health Care Management Science, Springer, vol. 10(1), pages 13-24, February.
    6. Camilo Mancilla & Robert Storer, 2012. "A sample average approximation approach to stochastic appointment sequencing and scheduling," IISE Transactions, Taylor & Francis Journals, vol. 44(8), pages 655-670.
    7. Lamiri, Mehdi & Xie, Xiaolan & Dolgui, Alexandre & Grimaud, Frederic, 2008. "A stochastic model for operating room planning with elective and emergency demand for surgery," European Journal of Operational Research, Elsevier, vol. 185(3), pages 1026-1037, March.
    8. Cardoen, Brecht & Demeulemeester, Erik & Beliën, Jeroen, 2010. "Operating room planning and scheduling: A literature review," European Journal of Operational Research, Elsevier, vol. 201(3), pages 921-932, March.
    9. Xiang Zhong & Jie Song & Jingshan Li & Susan M. Ertl & Lauren Fiedler, 2016. "Design and analysis of gastroenterology (GI) clinic in Digestive Health Center of University of Wisconsin Health," Flexible Services and Manufacturing Journal, Springer, vol. 28(1), pages 90-119, June.
    10. Jebali, AIda & Hadj Alouane, Atidel B. & Ladet, Pierre, 2006. "Operating rooms scheduling," International Journal of Production Economics, Elsevier, vol. 99(1-2), pages 52-62, February.
    11. Nan Liu & Serhan Ziya & Vidyadhar G. Kulkarni, 2010. "Dynamic Scheduling of Outpatient Appointments Under Patient No-Shows and Cancellations," Manufacturing & Service Operations Management, INFORMS, vol. 12(2), pages 347-364, September.
    12. Francesca Guerriero & Rosita Guido, 2011. "Operational research in the management of the operating theatre: a survey," Health Care Management Science, Springer, vol. 14(1), pages 89-114, March.
    13. Guinet, Alain & Chaabane, Sondes, 2003. "Operating theatre planning," International Journal of Production Economics, Elsevier, vol. 85(1), pages 69-81, July.
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