Analysis of <i>MAP</i>/<i>PH</i>/1 retrial inventory queueing system with phase type vacation and unreliable server

In this study, a retrial queueing inventory system with a fixed retrial rate, single vacation, breakdown, and repair is investigated. We have made the assumption that customers arrive through a Markovian arrival process and that the server will offer phase-type services to them. The (s, S) policy is used to replenish the inventory, and it is anticipated that the replenishing time will follow an exponential distribution. The server goes on vacation if there are no consumers in the orbit, or zero inventory, or both. When a server breaks down, it quickly starts the repair process, and the customer enters the infinite size of the orbit. In the steady state, it is possible to determine the number of customers in the orbit, the inventory level, and the status of the servers. The cost analysis is derived, and several significant performance measurements are established. Furthermore, a few numerical demonstrations are given to clarify our mathematical model.

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Publication Details

Journal
International Journal of Mathematics in Operational Research
Published
2025-01-01
DOI
https://doi.org/10.1504/ijmor.2025.148623
Primary Topic
Advanced Queuing Theory Analysis
Type
article
Field-Weighted Citation Impact
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article

Analysis of MAP/PH/1 retrial inventory queueing system with phase type vacation and unreliable server

Sher Singh Meena, G. Ayyappan
International Journal of Mathematics in Operational Research
Advanced Queuing Theory Analysis
article

Analysis of MAP/PH/1 retrial inventory queueing system with phase type vacation and unreliable server

Sher Singh Meena, G. Ayyappan
article en

Abstract

In this study, a retrial queueing inventory system with a fixed retrial rate, single vacation, breakdown, and repair is investigated. We have made the assumption that customers arrive through a Markovian arrival process and that the server will offer phase-type services to them. The (s, S) policy is used to replenish the inventory, and it is anticipated that the replenishing time will follow an exponential distribution. The server goes on vacation if there are no consumers in the orbit, or zero inventory, or both. When a server breaks down, it quickly starts the repair process, and the customer enters the infinite size of the orbit. In the steady state, it is possible to determine the number of customers in the orbit, the inventory level, and the status of the servers. The cost analysis is derived, and several significant performance measurements are established. Furthermore, a few numerical demonstrations are given to clarify our mathematical model.

International Journal of Mathematics in Operational ResearchVol. 32(1)
Openalex Percentile: Top 59%
Advanced Queuing Theory Analysis
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