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  Published Paper Details:

  Paper Title

MATHEMATICAL ANALYSIS OF WAITING TIME IN A FEEDBACK QUEUING MODEL WITH THREE SERVERS AND CHANCES OF REVISITS OF CUSTOMER ATMOST ONCE TO ANY SERVER

  Authors

  Kamal Datt,  Dr. Surender Kumar,  Dr. Vinod Bhatia

  Keywords

Queuing system, Three servers, Feedback, Chances of one Revisit, Waiting time.

  Abstract


A queuing model has been developed for a system having three servers wherein a customer may revisit to any of the servers. The visit of the customer is limited to maximum twice. Customer may require the services of one or all the servers. If he/she requires the service of more than one server, then first of all he/she will visit to first customer and then may go to any of the other two servers in the system. After getting the service from any of the servers, the customer may revisit to any other server or may leave the system at any stage depending upon his/her satisfaction. Whenever, a customer revisits, the probability of leaving the server does not remain same as that was for leaving that server on his/her previous visit. The waiting time of the customer in the system is derived from the mean queue length of the customer in the system and the graphical analysis of the model is done thereafter.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2201626

  Paper ID - 217948

  Page Number(s) - f590-f596

  Pubished in - Volume 10 | Issue 1 | January 2022

  DOI (Digital Object Identifier) -   

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  Kamal Datt,  Dr. Surender Kumar,  Dr. Vinod Bhatia,   "MATHEMATICAL ANALYSIS OF WAITING TIME IN A FEEDBACK QUEUING MODEL WITH THREE SERVERS AND CHANCES OF REVISITS OF CUSTOMER ATMOST ONCE TO ANY SERVER", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.10, Issue 1, pp.f590-f596, January 2022, Available at :http://www.ijcrt.org/papers/IJCRT2201626.pdf

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ISSN: 2320-2882
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Journal Starting Year (ESTD) : 2013
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ISSN and 7.97 Impact Factor Details


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ISSN
ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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