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The endoscopy scheduling problem: A case study with two specialised operating rooms

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  • Fei, Hongying
  • Meskens, Nadine
  • Combes, Catherine
  • Chu, Chengbin

Abstract

This research aims to build a feasible and efficient operating program for an endoscopy centre composed of two specialised operating rooms for one week, with the objective of both maximising the utilisation of the operating room and minimising the cost of overtime. First, a tactical planning model was built and solved by a column-generation-based heuristic (CGBH) procedure. Then, a daily scheduling problem is solved by the Gonzalez-Sahni algorithm in order to schedule the surgical cases assigned at the planning stage. Experimental data are randomly generated according to parameters derived from the Croix-Rousse tertiary hospital centre in Lyon, France.

Suggested Citation

  • Fei, Hongying & Meskens, Nadine & Combes, Catherine & Chu, Chengbin, 2009. "The endoscopy scheduling problem: A case study with two specialised operating rooms," International Journal of Production Economics, Elsevier, vol. 120(2), pages 452-462, August.
    • Handle: RePEc:eee:proeco:v:120:y:2009:i:2:p:452-462
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    References listed on IDEAS

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    1. Biskup, Dirk & Herrmann, Jan & Gupta, Jatinder N.D., 2008. "Scheduling identical parallel machines to minimize total tardiness," International Journal of Production Economics, Elsevier, vol. 115(1), pages 134-142, September.
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    3. Combes, C. & Meskens, N. & Rivat, C. & Vandamme, J.-P., 2008. "Using a KDD process to forecast the duration of surgery," International Journal of Production Economics, Elsevier, vol. 112(1), pages 279-293, March.
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    7. Marcon, Eric & Kharraja, Said & Simonnet, Gerard, 2003. "The operating theatre planning by the follow-up of the risk of no realization," International Journal of Production Economics, Elsevier, vol. 85(1), pages 83-90, July.
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    Cited by:

    1. Ben Bachouch, Rym & Guinet, Alain & Hajri-Gabouj, Sonia, 2012. "An integer linear model for hospital bed planning," International Journal of Production Economics, Elsevier, vol. 140(2), pages 833-843.
    2. Michael Samudra & Carla Van Riet & Erik Demeulemeester & Brecht Cardoen & Nancy Vansteenkiste & Frank E. Rademakers, 2016. "Scheduling operating rooms: achievements, challenges and pitfalls," Journal of Scheduling, Springer, vol. 19(5), pages 493-525, October.
    3. Zhang, Jian & Dridi, Mahjoub & El Moudni, Abdellah, 2020. "Column-generation-based heuristic approaches to stochastic surgery scheduling with downstream capacity constraints," International Journal of Production Economics, Elsevier, vol. 229(C).
    4. Ahmadian, Mohammad Mahdi & Khatami, Mostafa & Salehipour, Amir & Cheng, T.C.E., 2021. "Four decades of research on the open-shop scheduling problem to minimize the makespan," European Journal of Operational Research, Elsevier, vol. 295(2), pages 399-426.
    5. Michael Samudra & Erik Demeulemeester & Brecht Cardoen & Nancy Vansteenkiste & Frank E. Rademakers, 2017. "Due time driven surgery scheduling," Health Care Management Science, Springer, vol. 20(3), pages 326-352, September.
    6. Xiangyong Li & N. Rafaliya & M. Fazle Baki & Ben A. Chaouch, 2017. "Scheduling elective surgeries: the tradeoff among bed capacity, waiting patients and operating room utilization using goal programming," Health Care Management Science, Springer, vol. 20(1), pages 33-54, March.
    7. Babak Akbarzadeh & Ghasem Moslehi & Mohammad Reisi-Nafchi & Broos Maenhout, 2020. "A diving heuristic for planning and scheduling surgical cases in the operating room department with nurse re-rostering," Journal of Scheduling, Springer, vol. 23(2), pages 265-288, April.

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