Bounding the Likelihood of Exceeding Ward Capacity in Stochastic Surgery Scheduling

Bounding the Likelihood of Exceeding Ward Capacity in Stochastic Surgery Scheduling

The stochastic high-patient-throughput surgery scheduling problem under a limited number of staffed ward beds is addressed in this paper. This work proposes a novel way to minimize the risk of last-minute cancellations by bounding the likelihood of exceeding the staffed ward beds. Given historical d...

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Bibliographic Details
Main Authors: Asgeir Orn Sigurpalsson, Thomas Philip Runarsson, Rognvaldur Johann Saemundsson
Format: Article
Language:English
Published: MDPI AG 2022-08-01
Series:Applied Sciences
Subjects:
surgery scheduling
uncertainty
downstream resource
Monte Carlo sampling
mixed integer programming
robust optimization
Online Access:https://www.mdpi.com/2076-3417/12/17/8577

Internet

https://www.mdpi.com/2076-3417/12/17/8577

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