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

Yoshito Namba; Mari Ito; Ryuta Takashima

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Paper

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

Topics: Linear Programming; OR in Health; Scheduling

In Proceedings of the 12th International Conference on Operations Research and Enterprise Systems ICORES - Volume 1, 180-184, 2023 , Lisbon, Portugal

Authors: Yoshito Namba ¹ ; Mari Ito ² and Ryuta Takashima ¹

Affiliations: ¹ Department of Industrial Administration, Tokyo University of Science, Chiba, Japan ; ² Center for Mathematical and Data Sciences, Kobe University, Hyogo, Japan

Keyword(s): Operating Room, Robust Optimization, Scheduling, Surgical Management.

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.

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Paper citation in several formats:

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 - ICORES; ISBN 978-989-758-627-9; ISSN 2184-4372, SciTePress, pages 180-184. DOI: 10.5220/0011733600003396

@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 - ICORES},
year={2023},
pages={180-184},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011733600003396},
isbn={978-989-758-627-9},
issn={2184-4372},
}

TY - CONF

JO - Proceedings of the 12th International Conference on Operations Research and Enterprise Systems - ICORES
TI - A Robust Optimization for a Single Operating Room Scheduling Problem with Uncertain Durations
SN - 978-989-758-627-9
IS - 2184-4372
AU - Namba, Y.
AU - Ito, M.
AU - Takashima, R.
PY - 2023
SP - 180
EP - 184
DO - 10.5220/0011733600003396
PB - SciTePress