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Discrete-event stochastic systems with copula correlated input processes

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  • Lei Lei
  • Jian-Qiang Hu
  • Chenbo Zhu

Abstract

In this article, we develop a new method based on copulas to model correlated inputs in discrete-event stochastic systems. We first define a type of correlated stochastic process, called Copula Correlated Processes (CCPs), which we then use to model correlated inputs for discrete-event stochastic systems. In general, it is very difficult to analyze discrete-event stochastic systems with correlated inputs. However, we show that discrete-event stochastic systems with CCPs can be discretized and approximated by discrete-event stochastic systems with discrete copula correlated processes, which are equivalent to discrete-event stochastic systems driven by Markov-modulated processes and are much easier to analyze. An illustrative queueing example is provided to demonstrate how our method works.

Suggested Citation

  • Lei Lei & Jian-Qiang Hu & Chenbo Zhu, 2022. "Discrete-event stochastic systems with copula correlated input processes," IISE Transactions, Taylor & Francis Journals, vol. 54(4), pages 321-331, April.
  • Handle: RePEc:taf:uiiexx:v:54:y:2022:i:4:p:321-331
    DOI: 10.1080/24725854.2021.1943571
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    Cited by:

    1. Qixin Wang & Jian-Qiang Hu, 2024. "Queues with correlated inter-arrival and service times," Queueing Systems: Theory and Applications, Springer, vol. 108(1), pages 1-30, October.

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