Abstract
The provision of home health care services is becoming an important research area, mainly because in Portugal the population is ageing. Home care visits are organized taking into account the medical treatments and general support that elder/sick people need at home. This health service can be provided by nurse teams from Health Care Centers. Usually, the visits are manually planned and without computer support. The main goal of this work is to carry out the automatic schedule of home care visits, of one Portuguese Health Care Center, in order to minimize the time spent in all home care visits and, consequently, reduce the costs involved. The developed algorithms were coded in MatLab Software and the problem was efficiently solved, obtaining several schedule solutions of home care visits for the presented data. Solutions found by genetic and particle swarm algorithms lead to significant time reductions for both nurse teams and patients.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Alves, F.: Estudo sobre os procedimentos ótimos de visitas domiciliárias em unidades de saúde, Instituto Politécnico de Bragança (Master thesis), pp. 61–84 (2016)
Benzarti, E., Sahin, E., Dallery, Y.: Operations management applied to home care services: analysis of the districting problem. Decis. Support Syst. 55, 587–598 (2013)
Bertels, S., Fahle, T.: A hybrid setup for a hybrid scenario: combining heuristics for the home health care problem. Comput. Oper. Res. 33, 2866–2890 (2006)
Bratton, D., Kennedy, J.: Defining a standard for particle swarm optimization. In: IEEE Swarm Intelligence Symposium (2007)
Curralo, A., Pereira, A.I., Barbosa, J., Leitão, P.: Sensibility study in a flexible job shop scheduling problem. In: AIP Conference Proceedings, pp. 634–637 (2013)
Holland, J.H.: Adaptation in Natural and Artificial Systems. An Introductory Analysis with Application to Biology, Control, and Artificial Intelligence. University of Michigan Press, Ann Arbor (1975)
Holland, J.H., Goldberg, D.: Genetic Algorithms in Search, Optimization and Machine Learning. Addison-Wesley, Reading (1989)
Kennedy, J.: Particle swarm optimization. In: Sammut, C., Webb, G.I. (eds.) Encyclopedia of Machine Learning, pp. 760–766. Springer, New York (2011)
Kumar, M., Husian, M., Upreti, N., Gupta, D.: Genetic algorithm: review and application. Int. J. Inf. Technol. Knowl. Manage. 2, 451–454 (2010)
Kumar, S.N., Panneerselvam, R.: A survey on the vehicle routing problem and its variants. Intell. Inf. Manage. 4, 66–74 (2012)
Nickel, S., Schröder, M., Steeg, J.: Mid-term and short-term planning support for home health care services. Eur. J. Oper. Res. 219, 574–587 (2012)
Poli, R., Kennedy, J., Blackwell, T.: Particle swarm optimization. Swarm Intell. 1, 33–57 (2007)
Rao, S.S., Rao, S.S.: Engineering Optimization: Theory and Practice. Wiley, Hoboken (2009)
Rasmussen, M.S., Justesen, T., Dohn, A., Larsen, J.: The home care crew scheduling problem: preference-based visit clustering and temporal dependencies. Eur. J. Oper. Res. 219, 598–610 (2012)
Rest, K.D.: Supporting urban home health care in daily business and times of disasters. IFAC Proc. Vol. (IFAC-PapersOnline) 48, 686–691 (2015)
Simões, G.J., Ebecken, N.F.F.: Algoritmo genético e enxame de partículas para a otimização de suportes laterais de fornos. Revista Internacional de Métodos Numéricos para Cálculo y Diseño en Ingeniería 32, 7–12 (2016)
Acknowledgments
This work has been supported by COMPETE: POCI-01-0145-FEDER-007043 and FCT – Fundação para a Ciência e Tecnologia within the Project Scope: UID/CEC/00319/2013.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2017 Springer International Publishing AG
About this paper
Cite this paper
Alves, F., Pereira, A.I., Fernandes, F.P., Fernandes, A., Leitão, P., Martins, A. (2017). Optimal Schedule of Home Care Visits for a Health Care Center. In: Gervasi, O., et al. Computational Science and Its Applications – ICCSA 2017. ICCSA 2017. Lecture Notes in Computer Science(), vol 10406. Springer, Cham. https://doi.org/10.1007/978-3-319-62398-6_10
Download citation
DOI: https://doi.org/10.1007/978-3-319-62398-6_10
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-62397-9
Online ISBN: 978-3-319-62398-6
eBook Packages: Computer ScienceComputer Science (R0)