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Analysis of Semi-open Queueing Network with Correlated Arrival Process and Multi-server Nodes

Author

Listed:
  • Sergey Dudin

    (Belarusian State University)

  • Alexander Dudin

    (Belarusian State University)

  • Rosanna Manzo

    (University of Salerno)

  • Luigi Rarità

    (University of Salerno)

Abstract

A semi-open queueing network characterized by a correlated arrival process and multi-server nodes is analyzed. The quantity of jobs that can be processed in the network concurrently is restricted by a constant. Jobs arrival at the nodes of the network is defined by a marked Markov arrival process. If the quantity of jobs in the network is equal to the upper bound, an arriving job is lost. The nodes of the network are modeled by multi-server queues with exponentially distributed service times. After service completion at a node, a job may depart from the network or move to a different node according to the fixed transition probabilities. Nodes have buffers for jobs that meet all servers busy. The waiting time of a job in the buffer is restricted by a random quantity having an exponential distribution, i.e., the jobs are impatient. The network dynamic is described through a multidimensional continuous-time finite state space Markov chain. Suitable formulas are presented for the computation of performance indicators of the network in terms of the invariant distribution of the states of the Markov chain. Quantitative results demonstrating the viability of the suggested techniques for calculating performance metrics and giving information about the dependence of network performance on the maximal quantity of jobs that can be simultaneously processed in the network are presented. The obtained results are useful to get the optimal choices of the parameters of semi-open queueing networks that are now popular as descriptors of robotic mobile fulfillment systems, warehouses, maritime ports, hospitals, etc.

Suggested Citation

  • Sergey Dudin & Alexander Dudin & Rosanna Manzo & Luigi Rarità, 2024. "Analysis of Semi-open Queueing Network with Correlated Arrival Process and Multi-server Nodes," SN Operations Research Forum, Springer, vol. 5(4), pages 1-29, December.
  • Handle: RePEc:spr:snopef:v:5:y:2024:i:4:d:10.1007_s43069-024-00383-z
    DOI: 10.1007/s43069-024-00383-z
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    References listed on IDEAS

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    1. Jing Jia & Sunderesh S. Heragu, 2009. "Solving Semi-Open Queuing Networks," Operations Research, INFORMS, vol. 57(2), pages 391-401, April.
    2. Sonja Otten & Ruslan Krenzler & Lin Xie & Hans Daduna & Karsten Kruse, 2022. "Analysis of semi-open queueing networks using lost customers approximation with an application to robotic mobile fulfilment systems," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 44(2), pages 603-648, June.
    3. Debjit Roy, 2016. "Semi-open queuing networks: a review of stochastic models, solution methods and new research areas," International Journal of Production Research, Taylor & Francis Journals, vol. 54(6), pages 1735-1752, March.
    4. Peng Yang & Guang Jin & Guofang Duan, 2022. "Modelling and analysis for multi-deep compact robotic mobile fulfilment system," International Journal of Production Research, Taylor & Francis Journals, vol. 60(15), pages 4727-4742, August.
    5. Tadumadze, Giorgi & Wenzel, Julia & Emde, Simon & Weidinger, Felix & Elbert, Ralf, 2023. "Assigning orders and pods to picking stations in a multi-level robotic mobile fulfillment system," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 136885, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    6. Lamballais, T. & Merschformann, M. & Roy, D. & de Koster, M.B.M. & Azadeh, K. & Suhl, L., 2022. "Dynamic policies for resource reallocation in a robotic mobile fulfillment system with time-varying demand," European Journal of Operational Research, Elsevier, vol. 300(3), pages 937-952.
    7. Pasquale Legato & Rina Mary Mazza, 2023. "Queueing networks for supporting container storage and retrieval," Maritime Business Review, Emerald Group Publishing Limited, vol. 8(4), pages 301-317, May.
    8. Chesoong Kim & Sergey Dudin & Alexander Dudin & Konstantin Samouylov, 2019. "Analysis of a Semi-Open Queuing Network with a State Dependent Marked Markovian Arrival Process, Customers Retrials and Impatience," Mathematics, MDPI, vol. 7(8), pages 1-19, August.
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