Bulk Queue Model with Multiphase Service and Repair with Balking and N Policy

This paper investigates a single-server queueing system in which customers arrive in batches at a constant rate. Each customer undergoes a mandatory first-stage service, followed by an optional second-stage service. The server is subject to breakdowns that can occur at any point during either service stage. A phased repair mechanism, consisting of both essential and optional repairs, is incorporated into the model. Upon completion of the essential repair, the server proceeds to the second repair phase with probability . Likewise, after the phase , it enters the phase with probability ​; otherwise, it leaves the repair system to resume service. In this manner, the server may undergo up to k repair phases, including the initial essential phase. Further, it is assumed that customers are impatient in nature may balk from the system if server is not available on their arrival. To analyze the system’s steady-state behavior, the study utilizes probabilistic reasoning alongside the supplementary variable technique. Key performance metrics are derived using the generating function method, and their validity is demonstrated through numerical examples.

Authors

Institutions

Publication Details

Published
2025-08-07
DOI
https://doi.org/10.82374/jiei.2026.111217198
Primary Topic
Advanced Queuing Theory Analysis
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Bulk Queue Model with Multiphase Service and Repair with Balking and N Policy

Binay Kumar
Advanced Queuing Theory Analysis
article

Bulk Queue Model with Multiphase Service and Repair with Balking and N Policy

Binay Kumar
article en

Abstract

This paper investigates a single-server queueing system in which customers arrive in batches at a constant rate. Each customer undergoes a mandatory first-stage service, followed by an optional second-stage service. The server is subject to breakdowns that can occur at any point during either service stage. A phased repair mechanism, consisting of both essential and optional repairs, is incorporated into the model. Upon completion of the essential repair, the server proceeds to the second repair phase with probability . Likewise, after the phase , it enters the phase with probability ​; otherwise, it leaves the repair system to resume service. In this manner, the server may undergo up to k repair phases, including the initial essential phase. Further, it is assumed that customers are impatient in nature may balk from the system if server is not available on their arrival. To analyze the system’s steady-state behavior, the study utilizes probabilistic reasoning alongside the supplementary variable technique. Key performance metrics are derived using the generating function method, and their validity is demonstrated through numerical examples.

Patna University (IN)
Openalex Percentile: Top 20%
Advanced Queuing Theory Analysis
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.