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Software Tool For Teaching Fundamentals of Queuing Theory


Affiliations
1 Industrial and Management Systems Engineering Department, West Virginia University, Morgantown, WV, United States
     

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This paper presents a software tool that can be utilized to teach fundamentals of queuing theory. Arrival and service rates can be constant or from Exponential, Erlang, Hyper-exponential, or a general distribution. Number of servers, system capacity, and calling population size can be varied. The user can also select queue discipline and unit of time. The program computes average server utilization factor, average number of items in the queue, average number of items in the system, average time spent in the queue, average time spent in the system, probability of n items in the system, cost of service, and cost of waiting. The software tool can be utilized for in class exercises and for "what if" type analysis.

Keywords

Queuing Models, Queue Performance, Arrival Distribution, Service Distribution, Queuing Software.
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  • Gross, D., 2012, Fundamentals of Queuing Theory, Joh Wiley, 4th edition, ISBN-13:978- 0471791270
  • Visual Studio 2013, https://msdn.microsoft.com/en-us/library/dd831853(v=vs.120).aspx
  • Jesse, E., Queue modeling in Excel, https://www. youtube.com/watch?v=irMhkCGXOXs&t=660s

Abstract Views: 235

PDF Views: 4




  • Software Tool For Teaching Fundamentals of Queuing Theory

Abstract Views: 235  |  PDF Views: 4

Authors

Rashpal Ahluwalia
Industrial and Management Systems Engineering Department, West Virginia University, Morgantown, WV, United States

Abstract


This paper presents a software tool that can be utilized to teach fundamentals of queuing theory. Arrival and service rates can be constant or from Exponential, Erlang, Hyper-exponential, or a general distribution. Number of servers, system capacity, and calling population size can be varied. The user can also select queue discipline and unit of time. The program computes average server utilization factor, average number of items in the queue, average number of items in the system, average time spent in the queue, average time spent in the system, probability of n items in the system, cost of service, and cost of waiting. The software tool can be utilized for in class exercises and for "what if" type analysis.

Keywords


Queuing Models, Queue Performance, Arrival Distribution, Service Distribution, Queuing Software.

References





DOI: https://doi.org/10.16920/jeet%2F2018%2Fv31i4%2F125202