An integrated rolling horizon approach to increase operating theatre efficiency

& (2021) An integrated rolling horizon approach to increase operating theatre efficiency. Journal of Scheduling, 24(1), pp. 3-25.

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Description

Demand for healthcare is increasing rapidly. To meet demand, we must improve the efficiency of our public health services. We present a mixed integer programming formulation that simultaneously tackles the integrated master surgical schedule and surgical case assignment problems under a modified block scheduling policy. That is, we allocate specialties, surgeons, and patients to surgical time blocks. We consider volatile surgical durations and non-elective arrivals while applying a rolling horizon approach to adjust the schedule after cancellations, equipment failure, or new arrivals on the waiting list. The model is based on a case study of an Australian public hospital with a large surgical department. The formulation includes significant detail and provides practitioners with a globally implementable model. We produce good feasible solutions in short amounts of computational time with a constructive heuristic and two hyper-metaheuristics. Using a rolling horizon schedule increases patient throughput and can help reduce waiting lists.

Impact and interest:

9 citations in Scopus
8 citations in Web of Science®
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ID Code: 200908
Item Type: Contribution to Journal (Journal Article)
Refereed: Yes
ORCID iD:
Spratt, Belindaorcid.org/0000-0002-2522-2967
Kozan, Erhanorcid.org/0000-0002-3208-702X
Additional Information: Acknowledgements: This research was funded by the Australian Research Council (ARC) Linkage Grant LP140100394. Computational resources and services used in this work were provided by the HPC and Research Support Group, Queensland University of Technology, Brisbane, Australia.
Measurements or Duration: 23 pages
Additional URLs:
Keywords: Healthcare management, Efficiency in health, Operating theatre planning and scheduling, Robust
DOI: 10.1007/s10951-020-00655-6
ISSN: 1099-1425
Pure ID: 59559508
Divisions: Current > QUT Faculties and Divisions > Faculty of Science
Current > Schools > School of Mathematical Sciences
Copyright Owner: Springer Science+Business Media, LLC, part of Springer Nature 2020
Copyright Statement: This work is covered by copyright. Unless the document is being made available under a Creative Commons Licence, you must assume that re-use is limited to personal use and that permission from the copyright owner must be obtained for all other uses. If the document is available under a Creative Commons License (or other specified license) then refer to the Licence for details of permitted re-use. It is a condition of access that users recognise and abide by the legal requirements associated with these rights. If you believe that this work infringes copyright please provide details by email to qut.copyright@qut.edu.au
Deposited On: 10 Jun 2020 23:56
Last Modified: 16 Jun 2025 19:59