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Production trees: A new modeling methodology for production availability analyses

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  • Kloul, Leïla
  • Rauzy, Antoine

Abstract

In this article, we propose a new modeling methodology for production availability analyses. These analyses are typically carried out by means of flow network models and Monte-Carlo simulations. The design of flow network models is often delicate because the production of a unit may depend on the states of other units located downstream and upstream in the production line.

Suggested Citation

  • Kloul, Leïla & Rauzy, Antoine, 2017. "Production trees: A new modeling methodology for production availability analyses," Reliability Engineering and System Safety, Elsevier, vol. 167(C), pages 561-571.
    • Handle: RePEc:eee:reensy:v:167:y:2017:i:c:p:561-571
    DOI: 10.1016/j.ress.2017.06.017
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    References listed on IDEAS

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    1. Aven, Terje & Pedersen, Linda Martens, 2014. "On how to understand and present the uncertainties in production assurance analyses, with a case study related to a subsea production system," Reliability Engineering and System Safety, Elsevier, vol. 124(C), pages 165-170.
    2. A B Rauzy, 2008. "Guarded transition systems: A new states/events formalism for reliability studies," Journal of Risk and Reliability, , vol. 222(4), pages 495-505, December.
    3. Rauzy, Antoine & Blériot-Fabre, Chaire, 2015. "Towards a sound semantics for dynamic fault trees," Reliability Engineering and System Safety, Elsevier, vol. 142(C), pages 184-191.
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    Cited by:

    1. Bennaceur, Walid Mokhtar & Kloul, Leïla, 2020. "Formal models for safety and performance analysis of a data center system," Reliability Engineering and System Safety, Elsevier, vol. 193(C).

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