Citation
Cross-training performance of nurse scheduling with the learning effect. In proceedings of the 7th Multidisciplinary International Conference on Scheduling : Theory and Applications (MISTA 2015), 25 - 28 Aug 2015, Prague, Czech Republic, pages 296-312, 2015.
Paper
Abstract
In recent years, the demand for health services has increased that causes one of the fundamental problems, such as a shortage of nurses. One of the effective strategies to deal with this problem is to use the cross-trained nurses. Furthermore, the nurse time spending on each bed decreases because of their experiences. The exponential distribution is used as a learning function. The learning effect can represent as the intuitive effect. Therefore, this research applies cross-training and learning effect simultaneously to formulate the nurse scheduling as a multi-objective mathematical model. The first objective minimizes the cost of nurses training and nurses wage, while the second objective function maximizes the nurse utilization. The third objective function reduces the nurse undesirability. Empirical data are collected from a healthcare center in Tehran in order to show the performance of our model. To solve the developed model, the NSGA-II and MOPSO algorithms are proposed and applied. The results show that using cross-trained nurses are the result of increasing the utilization while considering the learning effect can deal with the nursing shortage problem
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Bibtex
@INPROCEEDINGS{2015-296-312-P, author = {F. Akhavizadegan and R. Tavakkoli-Moghaddam and F. Jolai and J. Ansarifar},
title = {Cross-training performance of nurse scheduling with the learning effect},
booktitle = {In proceedings of the 7th Multidisciplinary International Conference on Scheduling : Theory and Applications (MISTA 2015), 25 - 28 Aug 2015, Prague, Czech Republic},
year = {2015},
editor = {Z. Hanzalek and G. Kendall and B. McCollum and P. Sucha},
pages = {296--312},
note = {Paper},
abstract = { In recent years, the demand for health services has increased that causes one of the fundamental problems, such as a shortage of nurses. One of the effective strategies to deal with this problem is to use the cross-trained nurses. Furthermore, the nurse time spending on each bed decreases because of their experiences. The exponential distribution is used as a learning function. The learning effect can represent as the intuitive effect. Therefore, this research applies cross-training and learning effect simultaneously to formulate the nurse scheduling as a multi-objective mathematical model. The first objective minimizes the cost of nurses training and nurses wage, while the second objective function maximizes the nurse utilization. The third objective function reduces the nurse undesirability. Empirical data are collected from a healthcare center in Tehran in order to show the performance of our model. To solve the developed model, the NSGA-II and MOPSO algorithms are proposed and applied. The results show that using cross-trained nurses are the result of increasing the utilization while considering the learning effect can deal with the nursing shortage problem},
owner = {Graham},
timestamp = {2017.01.16},
webpdf = {2015-296-312-P.pdf} }