A Markovian Queue With Feedback and Second Optional Working Vacation

A Markovian queue with feedback and second optional working vacation is analysed in this study. Rather of fully suspending service during a vacation, the server operates with varying service times. After the completion of the regular working vacation, the server may opt for second optional working vacation. After getting the service the customer who is unsatisfied with incomplete, partial or unsatisfactory service may opt the feedback with probability ¯r or leave the system with the probability r.We use the matrix-geometric approach to find the essential and acceptable conditions for the system to be secure. After deriving the stationary probability distribution, various performance indicators are calculated. Some numerical examples are illustrated to show the model’s stability.

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Publication Details

Journal
Communications in Mathematics and Applications
Published
2024-11-14
DOI
https://doi.org/10.26713/cma.v15i2.2715
Primary Topic
Scheduling and Timetabling Solutions
Type
article
Field-Weighted Citation Impact
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article

A Markovian Queue With Feedback and Second Optional Working Vacation

S. Pazhani Bala Murugan, K. Santhi, T. Senthamizhselvi
Communications in Mathematics and Applications
Scheduling and Timetabling Solutions
article

A Markovian Queue With Feedback and Second Optional Working Vacation

S. Pazhani Bala Murugan, K. Santhi, T. Senthamizhselvi
article en

Abstract

A Markovian queue with feedback and second optional working vacation is analysed in this study. Rather of fully suspending service during a vacation, the server operates with varying service times. After the completion of the regular working vacation, the server may opt for second optional working vacation. After getting the service the customer who is unsatisfied with incomplete, partial or unsatisfactory service may opt the feedback with probability ¯r or leave the system with the probability r.We use the matrix-geometric approach to find the essential and acceptable conditions for the system to be secure. After deriving the stationary probability distribution, various performance indicators are calculated. Some numerical examples are illustrated to show the model’s stability.

Communications in Mathematics and ApplicationsVol. 15(2)
Karunya University (IN), Government of Tamil Nadu (IN), Annamalai University (IN)
Openalex Percentile: Top 68%
Scheduling and Timetabling Solutions
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