Hemşire Çizelgeleme Problemlerinin Genetik Algoritmalarla Optimizasyonu ve Bir Uygulama
Optimization of Nurse Scheduling Problem with Genetic Algorithms and an Application
Author(s): Ahsen KÜÇÜK, İpek Deveci KocakoçSubject(s): Methodology and research technology, Health and medicine and law
Published by: Celal Bayar Üniversitesi Sosyal Bilimler Enstitüsü
Keywords: Nurse Scheduling Problem; Genetic Algorithms; Optimization;
Summary/Abstract: The main purpose of health services are to protect the health of people, families and communities, to treat patients, and to ensure that they can continue their lives in a healthy way. The nurse problem is commonly studied in the health sector and aims to increase the quality of service. The problem is briefly; is the decision-making process for the assignment of limited resources for specific purposes, under certain constraints and within a specified time period. Scheduling problems are among the ones whose solutions are rather difficult. Hence, in this study, Genetic Algorithms, one of the heuristic algorithms, has been used in order to reach approximately the best solution values. The study has been conducted on the data of nurses working in a clinic of Seyfi Demirsoy State Hospital. So as to find the most available work-hours of nurses, the genetic algorithms toolbox of MATLAB is utilized. Finally, the study has been completed by comparing the authentic shift-schedules of the hospital with the attained results.
Journal: Celal Bayar Üniversitesi Sosyal Bilimler Dergisi
- Issue Year: 19/2021
- Issue No: Sp. Issue
- Page Range: 203-210
- Page Count: 8
- Language: Turkish