Uncertainty and Sensitivity in the Development Lifecycle of Advanced Aerospace Systems

Reliability and assurance of the research enterprise for the development and acquisition of advanced technologies is urgently needed. In particular, aerospace systems are susceptible to endogenous and exogenous disruptions throughout their lifecycles. A principled approach is needed to address sensi...

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Main Authors: Timothy L. Eddy, Christopher M. VanYe, Beatrice E. Li, Thomas L. Polmateer, Christopher P. Goyne, John Friend, David Barnes, Megan E. Gunn, Igor Linkov, David L. Slutzky, James H. Lambert
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Open Journal of Systems Engineering
Subjects:
Online Access:https://ieeexplore.ieee.org/document/10972117/
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author Timothy L. Eddy
Christopher M. VanYe
Beatrice E. Li
Thomas L. Polmateer
Christopher P. Goyne
John Friend
David Barnes
Megan E. Gunn
Igor Linkov
David L. Slutzky
James H. Lambert
author_facet Timothy L. Eddy
Christopher M. VanYe
Beatrice E. Li
Thomas L. Polmateer
Christopher P. Goyne
John Friend
David Barnes
Megan E. Gunn
Igor Linkov
David L. Slutzky
James H. Lambert
author_sort Timothy L. Eddy
collection DOAJ
description Reliability and assurance of the research enterprise for the development and acquisition of advanced technologies is urgently needed. In particular, aerospace systems are susceptible to endogenous and exogenous disruptions throughout their lifecycles. A principled approach is needed to address sensitivity, trust, security, and risk in the research and development enterprise. A particular concern is for integrated hardware and software devices that are essential to aerospace systems. This article introduces a method for enterprise-level sensitivity analysis of emergent and future conditions that relies on scenario-based preferences to identify the conditions that are most disruptive to the systems acquisition schedule. We demonstrate the method via a comprehensive analysis for the acquisition of advanced hypersonic glide vehicle technologies using thirteen importance/ordering criteria, forty initiatives, and ten scenarios. The approach and results are applicable to reliability assurance and management for a variety of high technology systems. Additionally, the approach is applicable to enterprise reliability and assurance improvements for supply chains, manufacturing, maintenance, repair, etc.
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spelling doaj-art-f80ff17b8ebd4e828ee3a8a5600c74102025-08-20T03:17:28ZengIEEEIEEE Open Journal of Systems Engineering2771-99872025-01-013243810.1109/OJSE.2025.356314910972117Uncertainty and Sensitivity in the Development Lifecycle of Advanced Aerospace SystemsTimothy L. Eddy0Christopher M. VanYe1https://orcid.org/0009-0003-4158-345XBeatrice E. Li2Thomas L. Polmateer3https://orcid.org/0000-0003-1034-6980Christopher P. Goyne4John Friend5David Barnes6Megan E. Gunn7https://orcid.org/0009-0006-5304-5984Igor Linkov8https://orcid.org/0000-0002-0823-8107David L. Slutzky9James H. Lambert10https://orcid.org/0000-0002-0697-8339University of Virginia, Charlottesville, VA, USAUniversity of Virginia, Charlottesville, VA, USAUniversity of Virginia, Charlottesville, VA, USAUniversity of Virginia, Charlottesville, VA, USAUniversity of Virginia, Charlottesville, VA, USAStrategic Programs and Critical Infrastructure Division, Systems Planning & Analysis Inc., Alexandria, VA, USAStrategic Programs and Critical Infrastructure Division, Systems Planning & Analysis Inc., Alexandria, VA, USAUniversity of Virginia, Charlottesville, VA, USAEngineering Research and Development Center, US Army Corps of Engineers, Concord, MA, USAUniversity of Virginia, Charlottesville, VA, USAUniversity of Virginia, Charlottesville, VA, USAReliability and assurance of the research enterprise for the development and acquisition of advanced technologies is urgently needed. In particular, aerospace systems are susceptible to endogenous and exogenous disruptions throughout their lifecycles. A principled approach is needed to address sensitivity, trust, security, and risk in the research and development enterprise. A particular concern is for integrated hardware and software devices that are essential to aerospace systems. This article introduces a method for enterprise-level sensitivity analysis of emergent and future conditions that relies on scenario-based preferences to identify the conditions that are most disruptive to the systems acquisition schedule. We demonstrate the method via a comprehensive analysis for the acquisition of advanced hypersonic glide vehicle technologies using thirteen importance/ordering criteria, forty initiatives, and ten scenarios. The approach and results are applicable to reliability assurance and management for a variety of high technology systems. Additionally, the approach is applicable to enterprise reliability and assurance improvements for supply chains, manufacturing, maintenance, repair, etc.https://ieeexplore.ieee.org/document/10972117/Epistemic uncertaintiesimpact analysisimportance measureslarge-scale systemsrisk managementscenario-based preferences
spellingShingle Timothy L. Eddy
Christopher M. VanYe
Beatrice E. Li
Thomas L. Polmateer
Christopher P. Goyne
John Friend
David Barnes
Megan E. Gunn
Igor Linkov
David L. Slutzky
James H. Lambert
Uncertainty and Sensitivity in the Development Lifecycle of Advanced Aerospace Systems
IEEE Open Journal of Systems Engineering
Epistemic uncertainties
impact analysis
importance measures
large-scale systems
risk management
scenario-based preferences
title Uncertainty and Sensitivity in the Development Lifecycle of Advanced Aerospace Systems
title_full Uncertainty and Sensitivity in the Development Lifecycle of Advanced Aerospace Systems
title_fullStr Uncertainty and Sensitivity in the Development Lifecycle of Advanced Aerospace Systems
title_full_unstemmed Uncertainty and Sensitivity in the Development Lifecycle of Advanced Aerospace Systems
title_short Uncertainty and Sensitivity in the Development Lifecycle of Advanced Aerospace Systems
title_sort uncertainty and sensitivity in the development lifecycle of advanced aerospace systems
topic Epistemic uncertainties
impact analysis
importance measures
large-scale systems
risk management
scenario-based preferences
url https://ieeexplore.ieee.org/document/10972117/
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