Analysis of a Crowdsourcing Markovian Queue with Phase-Type and Imperfect Service, Working Vacations, Breakdown, and Repair

Analysis of a crowdsourcing Markovian queue with phase-type service is considered in this paper. In this model, a customer not only receives service but also assists in delivery. In other words, in a retail environment, while some customers shop in-store, others place orders online or by phone and require home delivery. Store management can utilize online customers as couriers to complete these deliveries. However, because not every customer may agree to take part, a probabilistic element is included to capture the chances of their participation. The model also incorporates imperfect service, reflecting cases where deliveries may fail or require rework, and working breakdowns, representing partial disruptions in service capacity rather than complete stoppages. To analyze the system under steady-state conditions, matrix-analytic methods are applied. Numerical examples illustrate the significant benefits of incorporating these dynamics into traditional queueing models.

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Publication Details

Journal
Mathematics
Published
2025-11-23
DOI
https://doi.org/10.3390/math13233757
Citations
1
Primary Topic
Advanced Queuing Theory Analysis
Type
article
Field-Weighted Citation Impact
2.28
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article

Analysis of a Crowdsourcing Markovian Queue with Phase-Type and Imperfect Service, Working Vacations, Breakdown, and Repair

N. Arulmozhi, G. Archana Alias Gurulakshmi, Aliakbar Montazer Haghighi, G. Ayyappan
1 citations
Mathematics
Advanced Queuing Theory Analysis
2.28
article

Analysis of a Crowdsourcing Markovian Queue with Phase-Type and Imperfect Service, Working Vacations, Breakdown, and Repair

N. Arulmozhi, G. Archana Alias Gurulakshmi, Aliakbar Montazer Haghighi, G. Ayyappan
article en
1 citations

Abstract

Analysis of a crowdsourcing Markovian queue with phase-type service is considered in this paper. In this model, a customer not only receives service but also assists in delivery. In other words, in a retail environment, while some customers shop in-store, others place orders online or by phone and require home delivery. Store management can utilize online customers as couriers to complete these deliveries. However, because not every customer may agree to take part, a probabilistic element is included to capture the chances of their participation. The model also incorporates imperfect service, reflecting cases where deliveries may fail or require rework, and working breakdowns, representing partial disruptions in service capacity rather than complete stoppages. To analyze the system under steady-state conditions, matrix-analytic methods are applied. Numerical examples illustrate the significant benefits of incorporating these dynamics into traditional queueing models.

MathematicsVol. 13(23)
Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology (IN), Prairie View A&M University (US), Sri Venkateshwaraa Medical College Hospital and Research Centre (IN)
Openalex Percentile: Top 8%
Advanced Queuing Theory Analysis
2.28
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Analysis of a Crowdsourcing Markovian Queue with Phase-Type and Imperfect Service, Working Vacations, Breakdown, and Repair — N. Arulmozhi, G. Archana Alias Gurulakshmi, et al. · Mathematics (2025) | TGRS Research Map | TGRS