A real-time reactive framework for the surgical case sequencing problem
Spratt, Belinda & Kozan, Erhan (2021) A real-time reactive framework for the surgical case sequencing problem. Flexible Services and Manufacturing Journal, 33(1), pp. 183-211.
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Description
In this paper, we address the multiple operating room (OR) surgical case sequencing problem (SCSP). The objective is to maximise total OR utilisation during standard opening hours. This work uses a case study of a large Australian public hospital with long surgical waiting lists and high levels of non-elective demand. Due to the complexity of the SCSP and the size of the instances considered herein, heuristic techniques are required to solve the problem. We present constructive heuristics based on both a modified block scheduling policy and an open scheduling policy. A number of real-time reactive strategies are presented that can be used to maintain schedule feasibility in the case of disruptions. Results of computational experiments show that this approach maintains schedule feasibility in real-time, whilst increasing operating theatre (OT) utilisation and throughput, and reducing the waiting time of non-elective patients. The framework presented here is applicable to the real-life scheduling of OT departments, and we provide recommendations regarding implementation of the approach.
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ID Code: | 133991 | ||||
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Item Type: | Contribution to Journal (Journal Article) | ||||
Refereed: | Yes | ||||
ORCID iD: |
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Measurements or Duration: | 29 pages | ||||
Keywords: | Operating theatres, Operations research in health services, Patient sequencing, Reactive scheduling | ||||
DOI: | 10.1007/s10696-019-09371-6 | ||||
ISSN: | 1936-6582 | ||||
Pure ID: | 40822826 | ||||
Divisions: | Current > QUT Faculties and Divisions > Faculty of Science Current > Schools > School of Mathematical Sciences |
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Funding Information: | This research was funded by the Australian Research Council (ARC) Linkage Grant LP 140100394. Computational resources and services used in this work were provided by the High Performance Computing and Research Support Group, Queensland University of Technology, Brisbane, Australia. | ||||
Funding: | |||||
Copyright Owner: | Consult author(s) regarding copyright matters | ||||
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: | 29 Oct 2019 23:20 | ||||
Last Modified: | 25 Feb 2025 23:13 |
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