A Robust Optimization for a Single Operating Room Scheduling Problem with Uncertain Durations

Yoshito Namba, Mari Ito, Ryuta Takashima

2023

Abstract

In order to improve the quality of patient care, efficient surgical management is significant for overall hospital management. This study proposes a robust optimization model that minimizes delay in surgery by taking the surgical sequence into account. We verified an influence of the risk-averse tendency on the schedule. In the numerical analysis, the schedule created by the robust optimization model was compared with that of the stochastic programming model. The results suggest that robust optimization models tend to avoid long delays.

Paper Citation

in Harvard Style

Namba Y., Ito M. and Takashima R. (2023). A Robust Optimization for a Single Operating Room Scheduling Problem with Uncertain Durations. In Proceedings of the 12th International Conference on Operations Research and Enterprise Systems - Volume 1: ICORES, ISBN 978-989-758-627-9, pages 180-184. DOI: 10.5220/0011733600003396

in Bibtex Style

@conference{icores23,
author={Yoshito Namba and Mari Ito and Ryuta Takashima},
title={A Robust Optimization for a Single Operating Room Scheduling Problem with Uncertain Durations},
booktitle={Proceedings of the 12th International Conference on Operations Research and Enterprise Systems - Volume 1: ICORES,},
year={2023},
pages={180-184},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011733600003396},
isbn={978-989-758-627-9},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 12th International Conference on Operations Research and Enterprise Systems - Volume 1: ICORES,
TI - A Robust Optimization for a Single Operating Room Scheduling Problem with Uncertain Durations
SN - 978-989-758-627-9
AU - Namba Y.
AU - Ito M.
AU - Takashima R.
PY - 2023
SP - 180
EP - 184
DO - 10.5220/0011733600003396