Retrial G-queue With Precipitous Breakdown and Non-tenacious Customers

  • Jagannathan Bharathi Department of Mathematics, School of Advanced Sciences, Vellore Institute of Technology, Vellore, Tamil Nadu, India
  • Sivasubramaniam Nandhini Department of Mathematics, School of Advanced Sciences, Vellore Institute of Technology, Vellore, Tamil Nadu, India

Abstract

We perform an analysis on an M/G/1 system that has bulk arrival Poisson process as well as instantaneous service, Precipitous breakdown and random repair, Gqueue, and operation under an MBV (Modified Bernoulli vacation) policy. The positive outcome of a customer retrial is lost when an Anti-positive customer arrives during a positive (good) customer’s assistance period. If a new customer enters and notices that the server is currently undergoing repairs or on vacation, they may renege or balk from the system. To obtain a wide variety of additional outcomes, we use the details provided by the supplementary variable method regarding the rates at which different events occur and it is possible to determine the probability-generating functions of queue length distributions as well as the explicit formulations of important performance metrics. The numerical data confirm the analytical findings about the major performance metrics.

Published
Jan 26, 2024
How to Cite
BHARATHI, Jagannathan; NANDHINI, Sivasubramaniam. Retrial G-queue With Precipitous Breakdown and Non-tenacious Customers. Yugoslav Journal of Operations Research, [S.l.], jan. 2024. ISSN 2334-6043. Available at: <http://www.yujor.fon.bg.ac.rs/index.php/yujor/article/view/1252>. Date accessed: 27 apr. 2024. doi: http://dx.doi.org/10.2298/YJOR230915001B.
Section
Research Articles