Design and Assessment Methodology for System Resilience Metrics

Area of Science:

• Systems Engineering
• Risk Management
• Decision Science

Background:

• Resilience metrics (RMs) offer objective measures for system resilience assessment.
• Conceptual frameworks are crucial for developing robust RMs.
• A key challenge is validating RMs to ensure they accurately reflect system resilience without over or underestimation.

Purpose of the Study:

• To introduce a methodology for assessing the validity of resilience metrics against their conceptual frameworks.
• To address the gap in RM validation by providing a quantifiable approach.
• To propose a novel generalizable metric for system resilience.

Main Methods:

• Utilized experimental design methods for structured assessment.
• Employed statistical analysis techniques to evaluate RM quality.
• Applied the methodology to a newly proposed general system metric.

Main Results:

• The proposed methodology effectively demonstrates the validity of RMs.
• The new general system metric was analyzed using the developed methodology.
• The new metric proved to be a more accurate indicator of system abilities than existing metrics.

Conclusions:

• The introduced methodology provides a robust framework for validating resilience metrics.
• The proposed general system metric offers improved accuracy in assessing system resilience.
• This work enhances the reliability of resilience assessment in planning and decision-making.