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Steady state behavior of multiple variant hiatus queues with a waiting server at each stage

Author

Listed:
  • R. Remya

    (Karpagam Academy of Higher Education)

  • K. Kalidass

    (Karpagam Academy of Higher Education
    Chikkanna Government Arts College)

  • M. Vadivukarasi

    (Government College of Arts and Science College)

Abstract

This paper considers an infinite buffer single server Markovian queueing system with multiple variant hiatus (vacation) policy. After every busy period ends, the server remains wait in the system to new arrival customers for a random period of time. If no arrival occurs in this waiting time, the server takes a vacation. After completion of the vacation, if any customers waiting in the system the server immediately starts the service process. Otherwise, the server remains wait in the system to new arrival customers for a random period of time. If no arrival occurs in this waiting time, the server proceeds to another vacation. The server continues this policy till the server takes the maximum number of J (a pre-determined threshold value) vacations. After completing maximum number of random vacations, the server stays dormant in the system and waits for the new customers. Steady state analysis of the model is carried out by using a probability generating function approach. The stability condition of the model and stochastic decomposition results are discussed. Moreover, the optimality of the cost model is numerically derived by using particle swarm optimization and Newton–Raphson method. A comparative analysis is also done between these two techniques. Numerical illustrations are included to study the influence of system parameters on some important performance measures of the queueing model. Finally, we present some managerial insights.

Suggested Citation

  • R. Remya & K. Kalidass & M. Vadivukarasi, 2025. "Steady state behavior of multiple variant hiatus queues with a waiting server at each stage," OPSEARCH, Springer;Operational Research Society of India, vol. 62(2), pages 850-876, June.
  • Handle: RePEc:spr:opsear:v:62:y:2025:i:2:d:10.1007_s12597-024-00808-7
    DOI: 10.1007/s12597-024-00808-7
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    References listed on IDEAS

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    1. Amina Angelika Bouchentouf & Abdelhak Guendouzi, 2021. "Single Server Batch Arrival Bernoulli Feedback Queueing System with Waiting Server, K-Variant Vacations and Impatient Customers," SN Operations Research Forum, Springer, vol. 2(1), pages 1-23, March.
    2. P. Vijaya Laxmi & P. Rajesh, 2016. "Analysis of variant working vacations on batch arrival queues," OPSEARCH, Springer;Operational Research Society of India, vol. 53(2), pages 303-316, June.
    3. M. Vadivukarasi & K. Kalidass, 2022. "Discussion on the transient solution of single server Markovian multiple variant vacation queues with disasters," OPSEARCH, Springer;Operational Research Society of India, vol. 59(4), pages 1352-1376, December.
    4. M. I. G. Suranga Sampath & K. Kalidass & Jicheng Liu, 2020. "Transient Analysis of an M/M/1 Queueing System Subjected to Multiple Differentiated Vacations, Impatient Customers and a Waiting Server with Application to IEEE 802.16E Power Saving Mechanism," Indian Journal of Pure and Applied Mathematics, Springer, vol. 51(1), pages 297-320, March.
    5. Manickam Vadivukarasi & Kaliappan Kalidass, 2021. "Discussion on the transient behavior of single server Markovian multiple variant vacation queues," Operations Research and Decisions, Wroclaw University of Science Technology, Faculty of Management, vol. 31, pages 123-146.
    6. Manickam Vadivukarasi & Kaliappan Kalidass, 2021. "Discussion on the transient behavior of single server Markovian multiple variant vacation queues," Operations Research and Decisions, Wroclaw University of Science and Technology, Faculty of Management, vol. 31(1), pages 123-146.
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