Machine learning to manage retrial queueing system M/G/1/N under F-policy with discouraged customers and fuzzy costs and its implementation in medical centers-Reference-Cited by-同舟云学术

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Machine learning to manage retrial queueing system M/G/1/N under F-policy with discouraged customers and fuzzy costs and its implementation in medical centers

Published:2026-02 Issue: Volume:473 Page:116843
ISSN:0377-0427
Container-title:Journal of Computational and Applied Mathematics
language:en
Short-container-title:Journal of Computational and Applied Mathematics

Author:

Sanga Sudeep Singh,Nidhi ^ORCID

Funder

Ministry of Education

Department of Science and Technology, Ministry of Science and Technology, India

Science and Engineering Research Board

Publisher

Elsevier BV

Reference44 articles.

1. Fundamentals of Queueing Theory;Shortle,2018

2. On an unreliable-server retrial queue with customer feedback and impatience;Chang;Appl. Math. Model.,2018

3. Analysis of ticket queues with reneging customers;Ding;J. Oper. Res. Soc.,2015

4. Optimization of balking and reneging queue with vacation interruption under N-policy;Vijaya Laxmi;J. Optim.,2013

5. Analysis of a busy period queuing system with balking, reneging and motivating;Wang;Appl. Math. Model.,2018

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