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Fluid stochastic Petri nets: Theory, applications, and solution techniques

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  • Horton, Graham
  • Kulkarni, Vidyadhar G.
  • Nicol, David M.
  • Trivedi, Kishor S.

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  • Horton, Graham & Kulkarni, Vidyadhar G. & Nicol, David M. & Trivedi, Kishor S., 1998. "Fluid stochastic Petri nets: Theory, applications, and solution techniques," European Journal of Operational Research, Elsevier, vol. 105(1), pages 184-201, February.
    • Handle: RePEc:eee:ejores:v:105:y:1998:i:1:p:184-201
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    References listed on IDEAS

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    1. Rajeeva L. Karandikar & Vidyadhar G. Kulkarni, 1995. "Second-Order Fluid Flow Models: Reflected Brownian Motion in a Random Environment," Operations Research, INFORMS, vol. 43(1), pages 77-88, February.
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    Cited by:

    1. Samuelson, Aviva & Haigh, Andrew & O'Reilly, Małgorzata M. & Bean, Nigel G., 2017. "Stochastic model for maintenance in continuously deteriorating systems," European Journal of Operational Research, Elsevier, vol. 259(3), pages 1169-1179.
    2. Jianing Wu & Shaoze Yan, 2014. "An approach to system reliability prediction for mechanical equipment using fuzzy reasoning Petri net," Journal of Risk and Reliability, , vol. 228(1), pages 39-51, February.
    3. Jianing Wu & Shaoze Yan & RX Gao, 2014. "Modeling and analysis of failure propagation of mechanical system with multi-operation states using high-level Petri net," Journal of Risk and Reliability, , vol. 228(4), pages 347-361, August.
    4. M. Gribaudo & D. Manini & B. Sericola & M. Telek, 2008. "Second order fluid models with general boundary behaviour," Annals of Operations Research, Springer, vol. 160(1), pages 69-82, April.
    5. Macchi, Marco & Kristjanpoller, Fredy & Garetti, Marco & Arata, Adolfo & Fumagalli, Luca, 2012. "Introducing buffer inventories in the RBD analysis of process production systems," Reliability Engineering and System Safety, Elsevier, vol. 104(C), pages 84-95.
    6. Anton Stefanek & Richard A. Hayden & Jeremy T. Bradley, 2016. "Mean-field analysis of hybrid Markov population models with time-inhomogeneous rates," Annals of Operations Research, Springer, vol. 239(2), pages 667-693, April.

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