scholarly journals Analysing Customers’ Waiting Time Using Discrete-Event Simulation: A Case Study in A University Printing Shop

2019 ◽  
Vol 7 ◽  
pp. 34-43 ◽  
Author(s):  
Norazura Ahmad ◽  
Tan Wei Mey ◽  
Teoh Kher Nee
Keyword(s):  
Discrete Event Simulation ◽  
Waiting Time ◽  
Discrete Event ◽  
Event Simulation

Improvement in Queuing Network Model to Reduce Waiting Time at Berthing Area of Port Container Terminal via Discrete Event Simulation

2014 ◽  
Vol 621 ◽  
pp. 253-258
Author(s):  
A. Shahpanah ◽  
S. Shariatmadari ◽  
Ali Chegeni ◽  
A. Gholamkhasi ◽  
M. Shahpanah
Keyword(s):  
Discrete Event Simulation ◽  
Waiting Time ◽  
Container Terminal ◽  
Discrete Event ◽  
Container Terminals ◽  
Queuing Network ◽  
New Approach ◽  
Event Simulation ◽  
Queuing Problems

Queuing problems present a gap in the availability of knowledge at port container terminals. This study is focused on various types of services for port container terminal queuing system. The purpose of this paper is to introduce a methodology to decrease waiting time without any reduction in productivity. A new approach for servicing at the queue is proposed, and with this idea waiting time will be reduced without any change in productivity or additional cost. To execute this approach in a port container terminal, berthing areas of the port are simulated with ARENA 13.5, and this new approach is implemented in the model. The result of this change are compared with results of a port container terminal as case study. With implementing this method the waiting time is reduced dramatically and productivity increased slowly.

Applying Discrete Event Simulation (DES) in Healthcare

2015 ◽  
pp. 390-410
Author(s):  
Stavros T. Ponis ◽  
Angelos Delis ◽  
Sotiris P. Gayialis ◽  
Panagiotis Kasimatis ◽  
Joseph Tan
Keyword(s):  
Discrete Event Simulation ◽  
Capacity Planning ◽  
Planning Process ◽  
Discrete Event ◽  
Healthcare Facilities ◽  
Performance Improvements ◽  
Event Simulation ◽  
Health Insurance Provider ◽  
And Performance

This paper highlights the opportunities and challenges of applying Discrete Event Simulation (DES) to support capacity planning of a network of outpatient facilities. Despite an abundance of studies using simulation techniques to examine the operation and performance of outpatient clinics, the problem of capacity allocation and planning of medical services within a network of outpatient healthcare facilities appears to be underexplored. Here, a case study of a health insurance provider that operates a network of six outpatient medical facilities in the US is used to illustrate and explore the synthesizing and adaptive, yet parsimonious nature of using DES methodology for network design and capacity planning. Results of this case study demonstrate that significant performance improvements for the network operator can be achieved with applying DES method to support the network facility capacity planning process.

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