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https://open.uns.ac.rs/handle/123456789/3647
Title: | A hybrid approach to detecting the best solution in nurse scheduling problem | Authors: | Simić, Maja Simić, Dragan Milutinović, Dragana Đorđević, Jasmina Simić, Maja |
Issue Date: | 1-Jan-2017 | Journal: | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | Abstract: | © Springer International Publishing AG 2017. 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. | URI: | https://open.uns.ac.rs/handle/123456789/3647 | ISBN: | 9783319596495 | ISSN: | 03029743 | DOI: | 10.1007/978-3-319-59650-1_60 |
Appears in Collections: | PMF Publikacije/Publications |
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