Engineering Resilience for Complex Systems
Abstract
In recent years there has been an increased need for resilience in complex military and civilian systems due to evolving adversarial and environmental threats. Engineered Resilient Systems (ERS) is a Department of Defense (DoD) program focusing on the effective and efficient design and development of complex engineered systems. These complex systems need to be resilient to threats throughout their life cycle. However, most current engineering resilience literature focuses on systems with a single function and a single measure. Today’s systems are becoming more complex, with multiple functions and measures involving critical trade-offs during early life cycle stages. This paper develops criteria for a framework to incorporate resilience into DoD analysis of alternatives (AoA). Using the criteria, this paper creates a framework for defining and evaluating complex engineered systems that consider many missions, scenarios, uncertainties, functions, and measures. Lastly, using the criteria and the framework, the current literature is shown to have gaps for incorporating resilience into DoD AoAs.
Keywords
Resilience Engineering Resilient Systems Resilience cycle Systems engineering DoD Analysis of alternativesReferences
- 1.Holland JP (2015) Engineered Resilient Systems: Power of advanced modeling and analytics in support of acquisition. NDIA 16th Science and Engineering Technology Conference, SpringfieldGoogle Scholar
- 2.Cottam B, Parnell G, Pohl E, Specking E, Small C (2016) Quantifying resilience to enable Engineered Resilient Systems: Task 1 Report. CELDI, FayettevilleGoogle Scholar
- 3.Parnell, G., Goerger, S., Pohl, E. “Reimagining Tradespace Definition and Exploration, “Proceedings of the American Society for Engineering Management 2017 International Annual Conference, 18-21 Oct 2017, E-H. Ng, B. Nepal, and E. Schott edsGoogle Scholar
- 4.Parnell GS, Bresnick TA, Tani SN, Johnson ER (2013) Handbook of Decision Analysis. John Wiley & Sons, Inc., HobokenGoogle Scholar
- 5.Sitterle V, Freeman D, Goerger S, Ender T (2015) Systems engineering resiliency: guiding Tradespace exploration within an engineered resilient systems context. Procedia Comput Sci 44:649–658. ElsevierCrossRefGoogle Scholar
- 6.Youn B, Hu C, Wang P (2011) Resilience-driven system design of complex engineered systems. Am Soc Mech Eng 133(10):101011Google Scholar
- 7.Ross A, Stein D, Hastings D (2014) Multi-attribute tradespace exploration for survivability. AIAA J 51(5):1735–1752Google Scholar
- 8.Shafieezadeh A, Burden L (2014) Scenario-based resilience assessment framework for critical infrastructure systems: case study for seismic resilience of seaports. Reliab Eng Syst Saf 132:207–219. ElsevierCrossRefGoogle Scholar
- 9.Kahan JH, Allen AC, George J (2009) An operational framework for resilience. J Homeland Sec Emer Manag 6(1), Article 83.Google Scholar
- 10.Kahan J, Allen A, George J, Thompson G (2009) Concept development: an operational framework for resilience. Homeland Security Studies and Analysis Institute, Arlington VAGoogle Scholar
- 11.Henderson D, Lancaster M (2015) Value modeling for enterprise resilience. INCOSE Int Symp 25(1):1417–1426Google Scholar
- 12.Jackson S, Ferris T (2013) Resilience principles for engineered systems. Syst Eng 16(2):152–164. Wiley Online LibraryCrossRefGoogle Scholar
- 13.Ettouney M (2014) Resilience management: How it is becoming essential to civil infrastructure recovery. McGraw Hill Financial, New York CityGoogle Scholar
- 14.Madni A, Jackson S (2009) Towards a conceptual framework for resilience engineering. IEEE Syst J 3(2):181–191CrossRefGoogle Scholar
- 15.Sheard S, Mostashari A (2008) A framework for system resilience discussions. INCOSE International Symposium (Vol. 18, No. 1, pp. 1243-1257).Google Scholar
- 16.The National Academies (2013) Disaster resilience: a national imperative: summary. The National Academies Press, Washington, DCGoogle Scholar
- 17.Franchin P, Cavalieri F (2015) Probabilistic assessment of civil infrastructure resilience to earthquakes. Comput Aided Civ Inf Eng 30(7):583–600. Wiley Online LibraryCrossRefGoogle Scholar
- 18.Bruneau M, Chang S, Eguchi R, Lee G, O’Rourke T, Reinhorn A et al (2003) A framework to quantitatively assess and enhance the seismic resilience of communities. Earthquake Spectra 19(4):733–752Google Scholar