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A Robust Optimization Model for Managing Elective Admission in a Public Hospital

Citations

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Cited by:

  1. Jim G. Dai & Pengyi Shi, 2021. "Recent Modeling and Analytical Advances in Hospital Inpatient Flow Management," Production and Operations Management, Production and Operations Management Society, vol. 30(6), pages 1838-1862, June.
  2. Li, Shuqin & Jia, Shuai & Tao, Yi & Lin, Xudong, 2024. "Gate appointment design in a container terminal: A robust optimization approach," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 184(C).
  3. Mengshi Lu & Zuo‐Jun Max Shen, 2021. "A Review of Robust Operations Management under Model Uncertainty," Production and Operations Management, Production and Operations Management Society, vol. 30(6), pages 1927-1943, June.
  4. Shubhechyya Ghosal & Wolfram Wiesemann, 2020. "The Distributionally Robust Chance-Constrained Vehicle Routing Problem," Operations Research, INFORMS, vol. 68(3), pages 716-732, May.
  5. Black, Ben & Ainslie, Russell & Dokka, Trivikram & Kirkbride, Christopher, 2023. "Distributionally robust resource planning under binomial demand intakes," European Journal of Operational Research, Elsevier, vol. 306(1), pages 227-242.
  6. Maximilian Blesch & Philipp Eisenhauer, 2023. "Robust Decision-Making under Risk and Ambiguity," Rationality and Competition Discussion Paper Series 463, CRC TRR 190 Rationality and Competition.
  7. Lakshay, & Bolia, Nomesh B., 2020. "Robust scheduling for large scale evacuation planning," Socio-Economic Planning Sciences, Elsevier, vol. 71(C).
  8. Na Geng & Xiaolan Xie, 2022. "Managing Advance Admission Requests for Obstetric Care," INFORMS Journal on Computing, INFORMS, vol. 34(2), pages 1224-1239, March.
  9. Wang, Xin & Kuo, Yong-Hong & Shen, Houcai & Zhang, Lianmin, 2021. "Target-oriented robust location–transportation problem with service-level measure," Transportation Research Part B: Methodological, Elsevier, vol. 153(C), pages 1-20.
  10. Mahdi Noorizadegan & Abbas Seifi, 2018. "An efficient computational method for large scale surgery scheduling problems with chance constraints," Computational Optimization and Applications, Springer, vol. 69(2), pages 535-561, March.
  11. Seokjun Youn & H. Neil Geismar & Michael Pinedo, 2022. "Planning and scheduling in healthcare for better care coordination: Current understanding, trending topics, and future opportunities," Production and Operations Management, Production and Operations Management Society, vol. 31(12), pages 4407-4423, December.
  12. Jingui Xie & Gar Goei Loke & Melvyn Sim & Shao Wei Lam, 2023. "The Analytics of Bed Shortages: Coherent Metric, Prediction, and Optimization," Operations Research, INFORMS, vol. 71(1), pages 23-46, January.
  13. Maximilian Blesch & Philipp Eisenhauer, 2021. "Robust decision-making under risk and ambiguity," Papers 2104.12573, arXiv.org, revised Oct 2021.
  14. Tinglong Dai & Sridhar Tayur, 2020. "OM Forum—Healthcare Operations Management: A Snapshot of Emerging Research," Manufacturing & Service Operations Management, INFORMS, vol. 22(5), pages 869-887, September.
  15. Dimitris Bertsimas & Melvyn Sim & Meilin Zhang, 2019. "Adaptive Distributionally Robust Optimization," Management Science, INFORMS, vol. 65(2), pages 604-618, February.
  16. Josh C. D’Aeth & Shubhechyya Ghosal & Fiona Grimm & David Haw & Esma Koca & Krystal Lau & Huikang Liu & Stefano Moret & Dheeya Rizmie & Peter C. Smith & Giovanni Forchini & Marisa Miraldo & Wolfram Wi, 2023. "Optimal Hospital Care Scheduling During the SARS-CoV-2 Pandemic," Management Science, INFORMS, vol. 69(10), pages 5923-5947, October.
  17. Haolin Ruan & Zhi Chen & Chin Pang Ho, 2023. "Adjustable Distributionally Robust Optimization with Infinitely Constrained Ambiguity Sets," INFORMS Journal on Computing, INFORMS, vol. 35(5), pages 1002-1023, September.
  18. 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.
  19. Dominic J. Breuer & Khedidja Seridi & Nadia Lahrichi & Mohit Shukla & James C. Benneyan, 2022. "Robust multi-period capacity, location, and access of rural cardiovascular services under uncertainty," Flexible Services and Manufacturing Journal, Springer, vol. 34(4), pages 1013-1039, December.
  20. Dominic J. Breuer & Shashank Kapadia & Nadia Lahrichi & James C. Benneyan, 2022. "Joint robust optimization of bed capacity, nurse staffing, and care access under uncertainty," Annals of Operations Research, Springer, vol. 312(2), pages 673-689, May.
  21. Sagnol, Guillaume & Barner, Christoph & Borndörfer, Ralf & Grima, Mickaël & Seeling, Matthes & Spies, Claudia & Wernecke, Klaus, 2018. "Robust allocation of operating rooms: A cutting plane approach to handle lognormal case durations," European Journal of Operational Research, Elsevier, vol. 271(2), pages 420-435.
  22. Jia, Shuai & Li, Chung-Lun & Meng, Qiang, 2024. "The dry dock scheduling problem," Transportation Research Part B: Methodological, Elsevier, vol. 181(C).
  23. Maximilian Blesch & Philipp Eisenhauer, 2021. "Robust Decision-Making Under Risk and Ambiguity," ECONtribute Discussion Papers Series 104, University of Bonn and University of Cologne, Germany.
  24. Minglong Zhou & Melvyn Sim & Shao‐Wei Lam, 2022. "Advance admission scheduling via resource satisficing," Production and Operations Management, Production and Operations Management Society, vol. 31(11), pages 4002-4020, November.
  25. Erick Delage & Daniel Kuhn & Wolfram Wiesemann, 2019. "“Dice”-sion–Making Under Uncertainty: When Can a Random Decision Reduce Risk?," Management Science, INFORMS, vol. 65(7), pages 3282-3301, July.
  26. Dimitris Bertsimas & Jean Pauphilet, 2024. "Hospital-Wide Inpatient Flow Optimization," Management Science, INFORMS, vol. 70(7), pages 4893-4911, July.
  27. Dai, Jiajun & Geng, Na & Xie, Xiaolan, 2021. "Dynamic advance scheduling of outpatient appointments in a moving booking window," European Journal of Operational Research, Elsevier, vol. 292(2), pages 622-632.
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