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A Study on Queuing Systems and its Deterministic Measures


Affiliations
1 Department of Mathematics, Cambridge Institute of Technology – NC, Bangalore-561203, India
2 Department of Artificial Intelligence, Anurag University, Hyderabad-500088, India
 

In this paper we show that queueing theory can accurately model the flow of in-patient in hospital. In which arrival rate, service rate and number of parallel servers are all considered as fuzzy numbers. Further Robust Ranking technique is used to find the expected mean queue length and waiting time in queue. Further numerical illustration is also given to justify the validity of the model. In this model capacity of the system is infinite.

Keywords

Queuing System, Kendell Notation, System Performance Measures, Arrival, and Departure.
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  • A Study on Queuing Systems and its Deterministic Measures

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Authors

C.S Reddy
Department of Mathematics, Cambridge Institute of Technology – NC, Bangalore-561203, India
Krishna Anand S
Department of Artificial Intelligence, Anurag University, Hyderabad-500088, India

Abstract


In this paper we show that queueing theory can accurately model the flow of in-patient in hospital. In which arrival rate, service rate and number of parallel servers are all considered as fuzzy numbers. Further Robust Ranking technique is used to find the expected mean queue length and waiting time in queue. Further numerical illustration is also given to justify the validity of the model. In this model capacity of the system is infinite.

Keywords


Queuing System, Kendell Notation, System Performance Measures, Arrival, and Departure.

References