AccScience Publishing / IJOCTA / Volume 14 / Issue 3 / DOI: 10.11121/ijocta.1466
RESEARCH ARTICLE

Artificial bee colony algorithm for operating room scheduling problem with dedicated/flexible resources and cooperative operations

Gulcin Bektur1* Hatice Kübra Aslan1
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1 Department of Industrial Engineering, Iskenderun Technical University, Hatay, Türkiye
IJOCTA 2024, 14(3), 193–207; https://doi.org/10.11121/ijocta.1466
Submitted: 10 October 2023 | Accepted: 9 July 2024 | Published: 12 July 2024
© 2024 by the Author(s). This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution -Noncommercial 4.0 International License (CC-by the license) ( https://creativecommons.org/licenses/by-nc/4.0/ )
Abstract

In this study operating room scheduling (ORS) problem is addressed in multi-resource manner. In the addressed problem, besides operating rooms (ORs) and surgeons, the anesthesia team is also considered as an additional resource. The surgeon(s) who will perform the operation have already been assigned to the patients and is a dedicated resource. The assignment of the anesthesia team has been considered as a decision problem and a flexible resource. In this study, cooperative operations are also considered. A mixed integer linear programming (MILP) model is proposed for the problem. Since the problem is NP-hard, an artificial bee colony (ABC) algorithm is proposed for the problem. The solutions of the ABC are compared with the MILP model and random search.

Keywords
Operating room scheduling
Mixed integer linear programming model
Artificial bee colony algorithm
Multi- resources
Conflict of interest
The authors declare they have no competing interests.
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An International Journal of Optimization and Control: Theories & Applications, Electronic ISSN: 2146-5703 Print ISSN: 2146-0957, Published by AccScience Publishing