scholarly journals Discrete Event Simulation of Clients Flow in Ante-natal Clinic

Author(s):  
Aisha M. Abubakar ◽  
Ali Adamu ◽  
Ahmed Abdulkadir ◽  
Hassan S. Abdulkadir

Clients (expecting mothers) wait for hours in ante-natal clinic to receive medical service – waiting before, during or after being served. This study deals with a dynamic queuing system. Results of the study evaluate the effectiveness of queuing simulation model by identifying the ante-natal clinic queuing system parameters in terms of server utilization, usage, and clients flow time. The study uses the Simmer package in R for Discrete-event Simulation of the clients' flow in the system. The study showed that the resources are highly utilized with a bottleneck at the Doctors station, with constant service time for all clients, and long waiting time in the system. By replicating the parameters or replicate the model execution, once, with different initial conditions (by adding resources) and then performing another simulation over the output, the result showed that the resources are utilized with no bottlenecks at each server station, constant activity and flow time for all clients (expecting mothers). Hence, the model has proved to be accurate and efficient. This will help the clinic to utilize the resources and reduce long flow time.

2019 ◽  
Author(s):  
Fazeeda Mohamad ◽  
Siti Filza Saharin

This paper focuses on the development of a computer simulation model for improving the queuing system at a hypermarket using Discrete Event Simulation (DES) and to propose the most efficient hypermarket queuing system for overall improvement. Data were collected from the Hypermarket A using the time study. The method of this study is using modeling and simulation. Arena Simulation Software is used to develop the model to replicate the actual system. Three scenarios had been tested, and the alternatives will be ranked based on the level of the efficiency of the system performance. The most efficient queuing system is identified based on the scenario analysis. In this study, the waiting time for each customer can be improved by up to 26%, which equivalent to 5.24 minutes. Overall, this study contributes to a better understanding of the queuing system performance.


PLoS ONE ◽  
2013 ◽  
Vol 8 (4) ◽  
pp. e58402 ◽  
Author(s):  
Ruzelan Khalid ◽  
Mohd Kamal M. Nawawi ◽  
Luthful A. Kawsar ◽  
Noraida A. Ghani ◽  
Anton A. Kamil ◽  
...  

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