International Journal of Computational Intelligence Systems

Volume 10, Issue 1, 2017, Pages 419 - 439

A Multi-criteria Optimization Approach to Health Care Tasks Scheduling Under Resources Constraints

Authors
Sarah Ben Othman1, sara.ben-othman@ec-lille.fr, Slim Hammadi1, slim.hammadi@ec-lille.fr
Ecole Centrale de Lille, Cité scientifique, Villeneuve d’Ascq, 59650, France
Received 5 February 2016, Accepted 31 October 2016, Available Online 1 January 2017.
DOI
10.2991/ijcis.2017.10.1.29How to use a DOI?
Keywords
Emergency department; Overcrowding; Decision support system; Multi-skill health care tasks scheduling; Evolutionary algorithm; Fuzzy logic
Abstract

We are interested in this paper in studying and developing a decision support tool for multi-skill health care tasks scheduling in the Pediatric Emergency Department. We use an evolutionary algorithm and we propose the use of fuzzy logic to formulate an adapted fitness function. We consider the potential performance of the system and we set up a set of lower bounds characterizing criteria limits allowing to calculate the minimum waiting time for incoming patients and the corresponding latest ending time.

Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article under the CC BY-NC license (http://creativecommons.org/licences/by-nc/4.0/).

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Journal
International Journal of Computational Intelligence Systems
Volume-Issue
10 - 1
Pages
419 - 439
Publication Date
2017/01/01
ISSN (Online)
1875-6883
ISSN (Print)
1875-6891
DOI
10.2991/ijcis.2017.10.1.29How to use a DOI?
Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article under the CC BY-NC license (http://creativecommons.org/licences/by-nc/4.0/).

Cite this article

TY  - JOUR
AU  - Sarah Ben Othman
AU  - Slim Hammadi
PY  - 2017
DA  - 2017/01/01
TI  - A Multi-criteria Optimization Approach to Health Care Tasks Scheduling Under Resources Constraints
JO  - International Journal of Computational Intelligence Systems
SP  - 419
EP  - 439
VL  - 10
IS  - 1
SN  - 1875-6883
UR  - https://doi.org/10.2991/ijcis.2017.10.1.29
DO  - 10.2991/ijcis.2017.10.1.29
ID  - Othman2017
ER  -