Measuring and Architecting System Resilience Through Trade Study Analysis

Resilience is a dimension of Trade Study Analysis that must be accounted for in early conceptual system design because it can influence cost, reliability, performance, and overall lifecycle cost. Traditional trade studies which focus on risk management, safety, and reliability aspects are no longer sufficient because they only account for predicted and known disruptions. This research proposes a practical and implementable methodology for measuring, predicting, and architecting system resilience during conceptual design that considers both known and unknown disruptions. This research extends the current literature by motivating the resilience curve using a Markov process, verifying resilience with empirical data, and incorporating the interaction between subsystems using Common Cause Failure with the Binomial Failure Rate. A verified simulation model is used as a predictive analysis tool and applied to an Unmanned Surface Vehicle case study.

Author

• Veit, Daniel James

Language

• en

Keyword

• unmanned systems
• Systems engineering
• trade study analysis
• resilience engineering
• resilience
• design optimization

Date created

• 2022

Type of Work

• Dissertation

License

• All rights reserved

Rights statement

• In Copyright

GW Unit

• Systems Engineering

Degree

• Ph.D.

Advisor

• Sarkani, Shahram
• Mazzuchi, Thomas A

Committee Member(s)

• Blackford, Joseph P
• Etemadi, Amir
• Holzer, Thomas

Persistent URL

•  https://scholarspace.library.gwu.edu/etd/4b29b668w