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Master surgery scheduling with consideration of multiple downstream units

Citations

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Cited by:

  1. Makboul, Salma & Olteanu, Alexandru-Liviu & Sevaux, Marc, 2025. "A multiobjective ϵ-constraint based approach for the robust master surgical schedule under multiple uncertainties," European Journal of Operational Research, Elsevier, vol. 320(3), pages 682-698.
  2. Eun, Joonyup & Kim, Sang-Phil & Yih, Yuehwern & Tiwari, Vikram, 2019. "Scheduling elective surgery patients considering time-dependent health urgency: Modeling and solution approaches," Omega, Elsevier, vol. 86(C), pages 137-153.
  3. Majthoub Almoghrabi, Mohammed & Sagnol, Guillaume, 2025. "Surgery scheduling in flexible operating rooms by using a convex surrogate model of second-stage costs," European Journal of Operational Research, Elsevier, vol. 321(1), pages 23-40.
  4. Aisha Tayyab & Saif Ullah & Mohammed Fazle Baki, 2023. "An Outer Approximation Method for Scheduling Elective Surgeries with Sequence Dependent Setup Times to Multiple Operating Rooms," Mathematics, MDPI, vol. 11(11), pages 1-15, May.
  5. Şeyda Gür & Tamer Eren & Hacı Mehmet Alakaş, 2019. "Surgical Operation Scheduling with Goal Programming and Constraint Programming: A Case Study," Mathematics, MDPI, vol. 7(3), pages 1-24, March.
  6. A, Augustin & P, Jouvet & N, Lahrichi & A, Lodi & LM, Rousseau, 2022. "A data-driven approach to include availability of ICU beds in the planning of the operating room," Omega, Elsevier, vol. 109(C).
  7. 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.
  8. Ankit Bansal & Jean-Philippe Richard & Bjorn P. Berg & Yu-Li Huang, 2024. "A Sequential Follower Refinement Algorithm for Robust Surgery Scheduling," INFORMS Journal on Computing, INFORMS, vol. 36(3), pages 918-937, May.
  9. Yuan Shi & Saied Mahdian & Jose Blanchet & Peter Glynn & Andrew Y. Shin & David Scheinker, 2023. "Surgical scheduling via optimization and machine learning with long-tailed data," Health Care Management Science, Springer, vol. 26(4), pages 692-718, December.
  10. Bos, Hayo & Baas, Stef & Boucherie, Richard J. & Hans, Erwin W. & Leeftink, Gréanne, 2025. "Bed census prediction combining expert opinion and patient statistics," Omega, Elsevier, vol. 133(C).
  11. Burdett, Robert L. & Kozan, Erhan, 2018. "An integrated approach for scheduling health care activities in a hospital," European Journal of Operational Research, Elsevier, vol. 264(2), pages 756-773.
  12. Steffen Heider & Jan Schoenfelder & Thomas Koperna & Jens O. Brunner, 2022. "Balancing control and autonomy in master surgery scheduling: Benefits of ICU quotas for recovery units," Health Care Management Science, Springer, vol. 25(2), pages 311-332, June.
  13. Alexander Hübner & Heinrich Kuhn & Manuel Walther, 2018. "Combining clinical departments and wards in maximum-care hospitals," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 40(3), pages 679-709, July.
  14. Jie Bai & Andreas Fügener & Jan Schoenfelder & Jens O. Brunner, 2018. "Operations research in intensive care unit management: a literature review," Health Care Management Science, Springer, vol. 21(1), pages 1-24, March.
  15. Kamran Kianfar & Arezoo Atighehchian, 2023. "A hybrid heuristic approach to master surgery scheduling with downstream resource constraints and dividable operating room blocks," Annals of Operations Research, Springer, vol. 328(1), pages 727-754, September.
  16. Loïc Deklerck & Babak Akbarzadeh & Broos Maenhout, 2022. "Constructing and evaluating a master surgery schedule using a service-level approach," Operational Research, Springer, vol. 22(4), pages 3663-3711, September.
  17. Shuwan Zhu & Wenjuan Fan & Shanlin Yang & Jun Pei & Panos M. Pardalos, 2019. "Operating room planning and surgical case scheduling: a review of literature," Journal of Combinatorial Optimization, Springer, vol. 37(3), pages 757-805, April.
  18. Samuel Davis & Nasser Fard, 2020. "Theoretical bounds and approximation of the probability mass function of future hospital bed demand," Health Care Management Science, Springer, vol. 23(1), pages 20-33, March.
  19. van den Broek d’Obrenan, Anne & Ridder, Ad & Roubos, Dennis & Stougie, Leen, 2020. "Minimizing bed occupancy variance by scheduling patients under uncertainty," European Journal of Operational Research, Elsevier, vol. 286(1), pages 336-349.
  20. Jian-Jun Wang & Zongli Dai & Ai-Chih Chang & Jim Junmin Shi, 2022. "Surgical scheduling by Fuzzy model considering inpatient beds shortage under uncertain surgery durations," Annals of Operations Research, Springer, vol. 315(1), pages 463-505, August.
  21. T. Meersman & B. Maenhout, 2022. "Multi-objective optimisation for constructing cyclic appointment schedules for elective and urgent patients," Annals of Operations Research, Springer, vol. 312(2), pages 909-948, May.
  22. Phongchai Jittamai & Sovann Toek & Kingkan Kongkanjana & Natdanai Chanlawong, 2025. "Multi-Objective Decision Support Model for Operating Theatre Resource Allocation: A Post-Pandemic Perspective," Logistics, MDPI, vol. 9(3), pages 1-20, August.
  23. Fügener, Andreas & Pahr, Alexander & Brunner, Jens O., 2018. "Mid-term nurse rostering considering cross-training effects," International Journal of Production Economics, Elsevier, vol. 196(C), pages 176-187.
  24. Shehadeh, Karmel S. & Padman, Rema, 2021. "A distributionally robust optimization approach for stochastic elective surgery scheduling with limited intensive care unit capacity," European Journal of Operational Research, Elsevier, vol. 290(3), pages 901-913.
  25. Masoud Eshghali & Devika Kannan & Navid Salmanzadeh-Meydani & Amir Mohammad Esmaieeli Sikaroudi, 2024. "Machine learning based integrated scheduling and rescheduling for elective and emergency patients in the operating theatre," Annals of Operations Research, Springer, vol. 332(1), pages 989-1012, January.
  26. Rachuba, Sebastian & Imhoff, Lisa & Werners, Brigitte, 2022. "Tactical blueprints for surgical weeks – An integrated approach for operating rooms and intensive care units," European Journal of Operational Research, Elsevier, vol. 298(1), pages 243-260.
  27. Behrooz Pourghannad & Guihua Wang, 2025. "Matching Patients with Surgeons: Heterogeneous Effects of Surgical Volume on Surgery Duration," Manufacturing & Service Operations Management, INFORMS, vol. 27(4), pages 1037-1052, July.
  28. Silva, Thiago A.O. & de Souza, Mauricio C., 2020. "Surgical scheduling under uncertainty by approximate dynamic programming," Omega, Elsevier, vol. 95(C).
  29. Penn, M.L. & Potts, C.N. & Harper, P.R., 2017. "Multiple criteria mixed-integer programming for incorporating multiple factors into the development of master operating theatre timetables," European Journal of Operational Research, Elsevier, vol. 262(1), pages 194-206.
  30. Bovim, Thomas Reiten & Christiansen, Marielle & Gullhav, Anders N. & Range, Troels Martin & Hellemo, Lars, 2020. "Stochastic master surgery scheduling," European Journal of Operational Research, Elsevier, vol. 285(2), pages 695-711.
  31. Santos, Daniel & Marques, Inês, 2022. "Designing master surgery schedules with downstream unit integration via stochastic programming," European Journal of Operational Research, Elsevier, vol. 299(3), pages 834-852.
  32. Thomas Schneider, A.J. & Theresia van Essen, J. & Carlier, Mijke & Hans, Erwin W., 2020. "Scheduling surgery groups considering multiple downstream resources," European Journal of Operational Research, Elsevier, vol. 282(2), pages 741-752.
  33. Jie Bai & Andreas Fügener & Jochen Gönsch & Jens O. Brunner & Manfred Blobner, 2021. "Managing admission and discharge processes in intensive care units," Health Care Management Science, Springer, vol. 24(4), pages 666-685, December.
  34. Miao Bai & Bjorn Berg & Esra Sisikoglu Sir & Mustafa Y. Sir, 2023. "Partially partitioned templating strategies for outpatient specialty practices," Production and Operations Management, Production and Operations Management Society, vol. 32(1), pages 301-318, January.
  35. Kathyana Perez & José M. Slater & Lorena Pradenas & Victor Parada & Robert F. Scherer, 2025. "Predicting use of intensive care units during the COVID-19 pandemic," Operations Management Research, Springer, vol. 18(3), pages 946-959, September.
  36. Rafael L. Patrão & Reinaldo C. Garcia & João M. da Silva, 2022. "An Integrated Two-Level Integer Linear Program (ILP) Model for Elective Surgery Scheduling: A Case Study in an Italian Hospital," Mathematics, MDPI, vol. 10(11), pages 1-18, June.
  37. Neyshabouri, Saba & Berg, Bjorn P., 2017. "Two-stage robust optimization approach to elective surgery and downstream capacity planning," European Journal of Operational Research, Elsevier, vol. 260(1), pages 21-40.
  38. 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.
  39. Shehadeh, Karmel S. & Tsang, Man Yiu & Padman, Rema & Kilic, Arman, 2026. "Operating room-to-downstream elective surgery planning under uncertainty," European Journal of Operational Research, Elsevier, vol. 329(1), pages 288-307.
  40. Fabian Schäfer & Manuel Walther & Alexander Hübner & Heinrich Kuhn, 2019. "Operational patient-bed assignment problem in large hospital settings including overflow and uncertainty management," Flexible Services and Manufacturing Journal, Springer, vol. 31(4), pages 1012-1041, December.
  41. Maenhout, Broos & Šůcha, Přemysl & Valdmanova, Viktorie & Tkadlec, Ondřej & Rozlivkova, Jana Thao, 2026. "A bilevel approach to integrated surgeon scheduling and surgery planning solved via branch-and-price," Omega, Elsevier, vol. 138(C).
  42. Andreas Fügener & Sebastian Schiffels & Rainer Kolisch, 2017. "Overutilization and underutilization of operating rooms - insights from behavioral health care operations management," Health Care Management Science, Springer, vol. 20(1), pages 115-128, March.
  43. Fabian Schäfer & Manuel Walther & Dominik G. Grimm & Alexander Hübner, 2023. "Combining machine learning and optimization for the operational patient-bed assignment problem," Health Care Management Science, Springer, vol. 26(4), pages 785-806, December.
  44. Rafael Calegari & Flavio S. Fogliatto & Filipe R. Lucini & João B. G. Brito & Gabrielli H. Yamashita & Michel J. Anzanello & Guilherme L. Tortorella & Beatriz D. Schaan, 2025. "Designing a long-term master surgical timetable: a case study in balancing post-operative ward bed demand and minimizing changes in surgical schedules," Journal of Scheduling, Springer, vol. 28(5), pages 545-562, October.
  45. Wang, Yu & Zhang, Yu & Tang, Jiafu, 2019. "A distributionally robust optimization approach for surgery block allocation," European Journal of Operational Research, Elsevier, vol. 273(2), pages 740-753.
  46. Man Yiu Tsang & Karmel S. Shehadeh & Frank E. Curtis & Beth R. Hochman & Tricia E. Brentjens, 2025. "Stochastic Optimization Approaches for an Operating Room and Anesthesiologist Scheduling Problem," Operations Research, INFORMS, vol. 73(3), pages 1430-1458, May.
  47. Bovim, Thomas Reiten & Gullhav, Anders N. & Andersson, Henrik & Riise, Atle, 2025. "A framework for integrated resource planning in surgical clinics," European Journal of Operational Research, Elsevier, vol. 320(2), pages 433-447.
  48. Julian Schiele & Thomas Koperna & Jens O. Brunner, 2021. "Predicting intensive care unit bed occupancy for integrated operating room scheduling via neural networks," Naval Research Logistics (NRL), John Wiley & Sons, vol. 68(1), pages 65-88, February.
  49. 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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