Staff scheduling at hospitals is a widely-studied area in both, operation research and management science because of cost effectiveness that is required from hospitals. There is an interest for procedures on how to run a hospital more economically and efficiently. The goal of nurse scheduling is to minimize the cost of the staff and maximizing their preferences. This paper is focused on a new strategy based on hybrid model for detecting the best solution in nurse scheduling problem. The new proposed hybrid approach is obtained by combining case-based reasoning and general linear empirical model with arbitrary coefficients. The model is tested with original real world dataset obtained from the Oncology Institute of Vojvodina in Serbia.
CITATION STYLE
Simić, S., Simić, D., Milutinović, D., Đorđević, J., & Simić, S. (2017). A hybrid approach to detecting the best solution in nurse scheduling problem. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10334 LNCS, pp. 710–721). Springer Verlag. https://doi.org/10.1007/978-3-319-59650-1_60
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