Flexible master surgery scheduling: combining optimization and simulation in a rolling horizon approach

Mariana Oliveira (), Filippo Visintin (), Daniel Santos () and Inês Marques ()
Additional contact information
Mariana Oliveira: University of Lisbon
Filippo Visintin: University of Florence
Daniel Santos: University of Lisbon
Inês Marques: University of Lisbon

Flexible Services and Manufacturing Journal, 2022, vol. 34, issue 4, No 2, 824-858

Abstract: Abstract Operating room managers are facing increasingly complex challenges, namely in complying with waiting time targets before surgery. This paper proposes a framework that combines optimization and simulation to generate dynamic master surgery schedules for a long planning horizon, in which the schedules are optimized by an integer programming model and the demand levels are modelled using the simulation model. The developed approach allows the resulting operating room plan to balance waiting lists as it assigns more time to the specialties with higher demand in terms of time needed to perform all the surgeries in the corresponding waiting lists. The analysis of the results obtained for the proposed flexible rolling horizon approach were proven robust, and were compared to static and flexible long-term approaches, the former not allowing flexibility and the latter using a deterministic update of the demand. Considering throughput, tardiness and waiting time, the flexible rolling horizon approach showed the best results, while the static one had the worst results.

Keywords: Health services; Operating rooms; Master surgery schedule; Strategic and tactical decisions; Optimization; Simulation (search for similar items in EconPapers)
Date: 2022
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Citations: View citations in EconPapers (2)

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DOI: 10.1007/s10696-021-09422-x

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