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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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 -