NURSE SCHEDULING AND RESCHEDULING UNDER UNCERTAINTY
Öz
Nurse planning decisions play a critical role on hospital budgeting, quality of nursing services and job satisfaction of nurses. Nurse planning in a hospital is composed of four main phases: nurse budgeting, nurse scheduling (rostering), nurse rescheduling (staffing) and nurse assignment. In this study, the integrated problem of nurse scheduling and rescheduling under demand uncertainty is considered. The problem is formulated and solved as a two-stage stochastic integer program. The value of the stochastic solution is estimated using realistic problem instances over a monthly planning horizon generated based on the data provided by a private healthcare provider in Ankara, Turkey. The computational results show that the value of the stochastic solution can be more than 9% in some problem instances, and hence healthcare providers can benefit from using models that capture uncertainty rather than deterministic models.
Anahtar Kelimeler
Kaynakça
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- Bard J.F., Purnomo, H.W. 2004. “Real-time scheduling for nurses in response to demand fluctuations and personnel shortages”, Proceedings of the 5th International Conference on the Practice and Theory of Automated Timetabling, p. 67–87, Pittsburgh, PA.
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- Birge, J.R., Louveaux, F. 1997. Introduction to Stochastic Programming. Springer, USA.Burke, E.K., De Causmaecker, P., Berghe, G.V., Van Landeghem, H. 2004. “The State of the Art of Nurse Rostering”, Journal of Scheduling, Vol. 7, p. 441–499.
- Cheang, B., Lim, B., Rodrigues, B. 2003. “Nurse Rostering Problems – A Bibliographic Survey”, European Journal of Operational Research, Vol. 151, p.447-460.
- Dantzig, G.B. 1955. “Linear Programming Under Uncertainty”, Management Science, Vol. 1, p. 197-206.Ernst, A.T., Jiang, H. and Krishnamoorthy, M., Sier, D. 2004. “Staff Scheduling and Rostering: A Review of Applications”, Methods and Models. European Journal of Operational Research, Vol. 153, p. 3-27.
- Glass, C.A., Knight, R.A. 2010. “The Nurse Rostering Problem: A Critical Appraisal of the Problem Structure”, European Journal of Operational Research, Vol. 202, p. 379-389.
- Kim, K. 2014. “Predictive Modeling and Stochastic Optimization in Healthcare”, PhD Thesis, Field of Industrial Engineering and Management Sciences, Northwestern University.
Ayrıntılar
Birincil Dil
İngilizce
Konular
-
Bölüm
Araştırma Makalesi
Yayımlanma Tarihi
31 Mart 2020
Gönderilme Tarihi
20 Kasım 2018
Kabul Tarihi
13 Ocak 2020
Yayımlandığı Sayı
Yıl 2020 Cilt: 38 Sayı: 1
Cited By
Scheduling by NSGA-II: Review and Bibliometric Analysis
Processes
https://doi.org/10.3390/pr10010098Hemşire çizelgeleme problemi ve bir sağlık kuruluşunda uygulama
Balıkesir Üniversitesi Fen Bilimleri Enstitüsü Dergisi
https://doi.org/10.25092/baunfbed.947636Nurse Scheduling Problem in Pandemic Situation: An Application in Ankara City Hospital
Gazi University Journal of Science
https://doi.org/10.35378/gujs.1208228