Project management of aeronautical system upgrade in uncertain conditions

    Alexei Samkov Info
    Galyna Suslova Info
    Vladimir Litvinenko Info
    Yurii Zakharchenko Info
DOI: https://doi.org/10.3846/16487788.2011.625148

Abstract

The article researches the project management upgrade of an aeronautical system in conditions of uncertainty. An approach based on artificial immune systems and Bayesian networks is suggested.

Aeronautikos sistemų atnaujinimo projektų valdymas nepastoviomis sąlygomis

Santrauka. Straipsnyje tiriamas aeronautikos sistemų atnaujinimo projektų valdymas nepastoviomis sąlygomis. Siūloma naudoti dirbtines atsparias sistemas ir Bajeso tinklus.

Reikšminiai žodžiai: aeronautikos sistema, atsparus algoritmas, klonavimui atsparus algoritmas, saugūs Bajeso tinklai, projektų valdymas, efektyvumo, kokybiniai ir skrydžių saugos kriterijai, sprendimų priėmimo ir optimizacijos metodai.

First published online: 04 Oct 2011

Keywords:

aeronautical system, immune algorithm, clone immune algorithm, Bayesian trust networks, project management, efficiency, quality and flight safety criteria, decision making and optimisation methods

How to Cite

Samkov, A., Suslova, G., Litvinenko, V., & Zakharchenko, Y. (2011). Project management of aeronautical system upgrade in uncertain conditions. Aviation, 15(3), 69-75. https://doi.org/10.3846/16487788.2011.625148

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October 4, 2011
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2011-10-04

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How to Cite

Samkov, A., Suslova, G., Litvinenko, V., & Zakharchenko, Y. (2011). Project management of aeronautical system upgrade in uncertain conditions. Aviation, 15(3), 69-75. https://doi.org/10.3846/16487788.2011.625148

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