@inproceedings{7eaa061b90a54c49883d4939e1039596,
title = "Nurse Rostering via Mixed-Integer Programming",
abstract = "Nurse scheduling is a topic widely studied due to its overall effect on patient care and hospital performance. This research focuses on formulating a Mixed Integer Programming (MIP) workforce scheduling model as a nurse rostering problem. The model incorporates multiple objectives of individual nurse preference and qualification. This is approached by categorizing nurses into different hierarchical levels based on their qualifications and positions; Head Nurse, Senior Nurse, Nurse, and Assistant Nurse. Moreover, each nurse's holiday preferences are accounted for in the model. The proposed MIP model is solved to generate a schedule to meet hospital demand and individual nurse preferences. A MIP solver using Python 3 was used to find the optimal solution by cutting planes. The sensitivity analysis and computational results reflect different scenarios and scheduling to fit all hospital environments and demands.",
keywords = "Healthcare, MIP, Nurse Roster, Scheduling",
author = "Eman Ouda and Andrei Sleptchenko and Simsekler, \{Mecit Can Emre\}",
note = "Publisher Copyright: {\textcopyright} 2023 The authors and IOS Press.; 10th International Conference on Industrial Engineering and Applications, ICIEA 2023 ; Conference date: 04-04-2023 Through 06-04-2023",
year = "2023",
month = jul,
day = "27",
doi = "10.3233/ATDE230110",
language = "British English",
series = "Advances in Transdisciplinary Engineering",
publisher = "IOS Press BV",
pages = "815--823",
editor = "Loon-Ching Tang",
booktitle = "Moving Integrated Product Development to Service Clouds in the Global Economy - Proceedings of the 21st ISPE Inc. International Conference on Concurrent Engineering, CE 2014",
address = "Netherlands",
}