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  4. Discrete-event simulation for outpatient flow and emergency patient arrival in a haemodialysis unit

Discrete-event simulation for outpatient flow and emergency patient arrival in a haemodialysis unit

MMC.
2023;
Volume 10, Number 4
: pp. 1196–1205
https://doi.org/10.23939/mmc2023.04.1196
Received: September 26, 2023
Accepted: November 08, 2023

Mathematical Modeling and Computing, Vol. 10, No. 4, pp. 1196–1205 (2023)

Authors:
  1. A. Sundar
  2. N. A. A. Rahmin
  3. C. Y. Chen
  4. M. A. Nazihah
1
Department of Mathematics and Statistics, Faculty of Science, University of Putra Malaysia
2
Department of Mathematics and Statistics, Faculty of Science, University of Putra Malaysia
3
Department of Mathematics and Statistics, Faculty of Science, University of Putra Malaysia
4
Department of Mathematics and Statistics, Faculty of Science, University of Putra Malaysia

Emergency cases among dialysis patients are uncertain and if these patients failed to obtain treatment within allocated treatment, it might risk their health conditions.  In relation to that, we would like to accommodate outpatients together with the emergency patients in patient scheduling problem.  Discrete-event simulation is used to estimate the outpatients flow based on the mean arrival rate, $\lambda$.  A modified integer linear programming model is presented in this paper which highlighted on the patients' arrival time, patients' departure time and bed availability for emergency case.  A rescheduling algorithm is also presented to accommodate existing outpatients and emergency patients.  The results show that by rescheduling the existing outpatients and emergency patients in the system, there is no delaying for the outpatients' dialysis treatment.  Hence, the emergency patients are able to accommodate in the system.

discrete-event simulation
emergency
rescheduling
patient flow
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