Rights statement: This is an Accepted Manuscript of an article published by Taylor & Francis in Health Systems on 27/07/2020, available online: https://www.tandfonline.com/doi/full/10.1080/20476965.2020.1796530
Accepted author manuscript, 442 KB, PDF document
Available under license: CC BY-NC: Creative Commons Attribution-NonCommercial 4.0 International License
Final published version
Research output: Contribution to Journal/Magazine › Journal article › peer-review
Research output: Contribution to Journal/Magazine › Journal article › peer-review
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TY - JOUR
T1 - Constructing operating theatre schedules using partitioned graph colouring techniques
AU - Kheiri, Ahmed
AU - Lewis, Rhyd
AU - Thompson, Jonathan
AU - Harper, Paul
N1 - This is an Accepted Manuscript of an article published by Taylor & Francis in Health Systems on 27/07/2020, available online: https://www.tandfonline.com/doi/full/10.1080/20476965.2020.1796530
PY - 2021/10/31
Y1 - 2021/10/31
N2 - In hospitals, scheduled operations can often be cancelled in large numbers due to the unavailability of beds for post-operation recovery. Operating theatre scheduling is known to be an (Formula presented.) -hard optimisation problem. Previous studies have shown that the correct scheduling of surgical procedures can have a positive impact on the availability of beds in hospital wards, thereby allowing a reduction in number of elective operation cancellations. This study proposes an exact technique based on the partitioned graph colouring problem for constructing optimal master surgery schedules, with the goal of minimising the number of cancellations. The resultant schedules are then simulated in order to measure how well they cope with the stochastic nature of patient arrivals. Our results show that the utilisation of post-operative beds can be increased, whilst the number of cancellations can be decreased, which may ultimately lead to greater patient throughput and reduced waiting times. A scenario-based model has also been employed to integrate the stochastic-nature associated with the bed requirements into the optimisation process. The results indicate that the proposed model can lead to more robust solutions.
AB - In hospitals, scheduled operations can often be cancelled in large numbers due to the unavailability of beds for post-operation recovery. Operating theatre scheduling is known to be an (Formula presented.) -hard optimisation problem. Previous studies have shown that the correct scheduling of surgical procedures can have a positive impact on the availability of beds in hospital wards, thereby allowing a reduction in number of elective operation cancellations. This study proposes an exact technique based on the partitioned graph colouring problem for constructing optimal master surgery schedules, with the goal of minimising the number of cancellations. The resultant schedules are then simulated in order to measure how well they cope with the stochastic nature of patient arrivals. Our results show that the utilisation of post-operative beds can be increased, whilst the number of cancellations can be decreased, which may ultimately lead to greater patient throughput and reduced waiting times. A scenario-based model has also been employed to integrate the stochastic-nature associated with the bed requirements into the optimisation process. The results indicate that the proposed model can lead to more robust solutions.
KW - OR in health services
KW - optimisation
KW - scheduling
KW - graph colouring
KW - Integer programming
U2 - 10.1080/20476965.2020.1796530
DO - 10.1080/20476965.2020.1796530
M3 - Journal article
VL - 10
SP - 286
EP - 297
JO - Health Systems
JF - Health Systems
SN - 2047-6973
IS - 4
ER -