Volume 53, Number 5, November-December 2019
Operations Research Applications in Industry
|Page(s)||1453 - 1474|
|Published online||08 October 2019|
A cubic chromosome representation for patient scheduling in the Emergency Department
Ecole Centrale de Lille, France
2 EA2694 University of Lille, France
* Corresponding author: firstname.lastname@example.org
Accepted: 8 September 2018
In healthcare institution management, hospital flow control and the prediction of overcrowding are major issues. The objective of the present study is to develop a dynamic scheduling protocol that minimizes interference between scheduled and unscheduled patients arriving at the emergency department (ED) while taking account of disturbances that occur in the ED on a daily basis. The ultimate goal is to improve the quality of care and reduce waiting times via a two-phase scheduling approach. In the first phase, we used a genetic algorithm (based on a three-dimensional cubic chromosome) to manage scheduled patients. In the second phase, we took account of the dynamic, uncertain nature of the ED environment (the arrival of unscheduled patients) by continuously updating the schedule.
Mathematics Subject Classification: 90C27
Key words: Emergency department / dynamic scheduling / scheduled and unscheduled patients / genetic algorithm / three-dimensional cubic algorithm
© EDP Sciences, ROADEF, SMAI 2019
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