Skip to main content

Using Systems Engineering Ilities to Better Understand Resiliency

  • Conference paper
  • First Online:
Systems Engineering in Context

Abstract

This paper examines how the systems engineering ilities, or nonfunctional attributes, of systems help to understand the concept of resiliency in engineered systems. For engineered systems, resiliency describes the ability of a system to react to and return to full function after an interruption to system operation. In some cases, the resiliency of a system may be measured in seconds, or it could be measured in years as is the case for several Department of Defense (DoD) systems this paper presents. The literature around resiliency of engineered systems provides a good definition and description for resiliency; however, it leaves an opportunity to research how to manage or achieve resiliency in a system. This work proposes an application of the ilities from the systems engineering literature to the concept of resiliency to understand how systems engineers can account for resiliency in the design process and incorporate resiliency into systems. To manage complexity and manage the nonfunctional attributes of systems, often referred to as the ilities, provide a means for systems engineers to communicate and account for these attributes that fall outside of a traditional functional decomposition for a system. Specifically, the ilities of quality, robustness, and agility assist systems engineers in understanding the components of resiliency. Additionally, the ilities of repairability, extensibility, flexibility, adaptability, and versatility provide means for systems to achieve robustness after a shock to the system. Finally, the paper presents proposed future work to continue to expand on this approach to better understand resiliency through the use of the systems engineering ilities.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book
USD 219.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Abbreviations

t d :

Time of disruption

t d′ :

Time of degraded performance

t r :

Time of recovery

t f :

Time of future performance

References

  1. Goerger, S. R., Madni, A. M., & Eslinger, O. J. (2014). Engineered resilient systems: A DoD perspective. In 2014 Conference on Systems Engineering Research, Redondo Beach, CA.

    Google Scholar 

  2. Department of Defense. (2014). DoD research and engineering enterprise (p. 9). Washington D.C.: Author.

    Google Scholar 

  3. Neches, R., & Madni, A. M. (2013). Towards affordably adaptable and effective systems. Systems Engineering, 16(2), 224–234.

    Article  Google Scholar 

  4. Sitterle, V. B., Freeman, D. F., Goerger, S. R., & Ender, T. R. (2015). Systems engineering resiliency: Guiding tradespace exploration within an engineered resilient systems context. In 2015 Conference on Systems Engineering Research, Hoboken, NJ.

    Google Scholar 

  5. Buchanan, R. K., Goerger, S. S., Rinaudo, C. H., Parnell, G., Ross, A., & Sitterle, V. (2015). Resilience in engineered resilient systems. Journal of Defense Modeling and Simulation, 12(1), 57–66.

    Article  Google Scholar 

  6. Francis, R., & Bekera, B. (2014). A metric and frameworks for resiliency analysis of engineered and infrastructure systems. Reliability Engineering and System Safety, 121, 90–103.

    Article  Google Scholar 

  7. Small, C., Parnell, G., Pohl, E., Goerger, S., Cottam, B., Specking, E., et al. (2017). Engineering resilience for complex systems. In 15th Annual Conference on Systems Engineering Research, Redondo Beach, CA.

    Google Scholar 

  8. Spero, E., Avera, M. P., Valdez, P. E., & Goerger, S. R. (2014). Tradespace exploration for the engineering of resilient systems. In Conference on Systems Engineering Research (CSER 2014), Redondo Beach, CA.

    Google Scholar 

  9. Klingensmith, K., & Madni, A. M. (2017). Architecting cyber-secure, resilient system-of-systems. In 15th Annual Conference on Systems Engineering Research, Redondo Beach, CA.

    Google Scholar 

  10. Leonard, W. (2017). Resilient cyber secure systems and system of systems: Implications for the department of defense. In 15th Annual Conference on Systems Engineering Research, Redondo Beach, CA.

    Google Scholar 

  11. Madni, A. M., Sievers, M. W., Humann, J., Ordoukhanian, E., D’Ambrosio, J., & Sundaram, P. (2017). Model-based approach for engineering resilient system-of-systems: Application to autonomous vehicle networks. In 15th Annual Conference on Systems Engineering Research, Redondo Beach, CA.

    Google Scholar 

  12. Klingensmith, K., & Madni, A. M. (2017). Resilience concepts for architecting an autonomous military vehicle system-of-systems. In 15th Annual Conference on Systems Engineering Research, Redondo Beach, CA.

    Google Scholar 

  13. Ouyang, M., & Wang, Z. (2015). Resilience assessment of interdependent infrastructure systems: With a focus on joint restoration modeling and analysis. Reliability Engineering and System Safety, 141, 74–82.

    Article  Google Scholar 

  14. INCOSE. (2007). Systems engineering handbook v3.1. San Diego, CA: Author.

    Google Scholar 

  15. Buede, D. (2000). The engineering design of systems: Models and methods. New York: Wiley.

    Google Scholar 

  16. McManus, H., Richards, M., Ross, A., & Hastings, D. (2009). A framework for incorporating ilities in tradespace studies, In American Institute of Aeronautics and Astronautics.

    Google Scholar 

  17. de Weck, O. L., Ross, A. M., & Rhodes, D. H. (2012). Investigating relationships and semantic sets amongst system lifecycle properties (ilities). In Third International Engineering Systems Symposium, Delft, NL.

    Google Scholar 

  18. Lee, J. Y., & Collins, G. J. (2017). On using ilities of non-functional properties for subsystems and components. Systems, 5, 47.

    Article  Google Scholar 

  19. ESD Symposium Committee. (2002). ESD terms and definitions (version 12). Cambridge, MA: Massachusetts Institute of Technology.

    Google Scholar 

  20. Bauer, W., Elezi, F., Roth, M., & Maurer, M.. (2015). Determination of the required product platform flexibility from a change perspective. In 9th Annual IEEE International Systems Conference.

    Google Scholar 

  21. Ryan, E. T., Jacques, D. R., & Colombi, J. M. (2012). An ontological framework for clarifying flexibility-related terminology via literature survey. Systems Engineering, 16, 99–110.

    Article  Google Scholar 

  22. Schapiro, S. B., & Henry, M. H. (2012). Engineering agile systems through architectural modularity. In 2012 International Systems Conference, Vancouver, BC.

    Google Scholar 

  23. Turner, A. J., Monahana, W., & Cottera, M. (2017). Quantifying the ilities: A literature review of robustness, interoperability, and agility. In 15th Annual Conference on Systems Engineering Research, Redondo Beach, CA.

    Google Scholar 

  24. Ross, A. M., Rhodes, D. H., & Hastings, D. E. (2009). Using Pareto Trace to determine system passive value robustness. In 3rd Annual IEEE International Systems Conference, Vancouver, B.C.

    Google Scholar 

  25. Fitzgerald, M. E., & Ross, A. M. (2012). Mitigating contextual uncertainties with valuable changeability analysis in the multi-epoch domain. In SysCon2012—IEEE International Systems Conference, Vancouver, BC.

    Google Scholar 

  26. Maciejewski, H., & Caban, D. (2008). Estimation of repairable system availability within fixed time horizon. Reliability Engineering and System Safety, 93, 100–106.

    Article  Google Scholar 

  27. Garmabaki, A., Ahmadi, A., Block, J., Pham, H., & Kumar, U. (2016). A reliability decision framework for multiple repairable units. Reliability Engineering and System Safety, 150, 78–88.

    Article  Google Scholar 

  28. Levitin, G., Jai, H., Ding, Y., Song, Y., & Dai, Y. (2017). Reliability of multi-state systems with free access to repairable standby elements. Reliability Engineering and System Safety, 167, 192–197.

    Article  Google Scholar 

  29. Joint Chiefs of Staff. (2015). Manual for the operation of the joint capability integration and development system (JCIDS). Washington, DC: Department of Defense.

    Google Scholar 

  30. Ballantyne, F., Fryer, G., & McLaughlin, P. (2003). The effect of muscle energy technique on hamstring extensibility: The mechanism of altered flexibility. Journal of Osteopathic Medicine, 6(2), 59–63.

    Google Scholar 

  31. Bershad, B. N., Savage, S., Pardyak, P., Sirer, E. G., Fiuczynski, M. E., Becker, D., et al. (1995). Extensibility, safety and performance in the SPIN operating system. In Fifteenth ACM Symposium on Operating Systems Principles, Copper Mountain, CO.

    Google Scholar 

  32. Ross, A., Rhodes, D., & Hastings, D. (2008). Defining changeability: Reconciling flexibility, adaptability, scalability, modifiability, and robustness for maintaining system lifecycle value. Systems Engineering, 11(3), 246–262.

    Article  Google Scholar 

  33. Beesemyer, J. C., Ross, A. M., & Rhodes, D. H. (2012). An empirical investigation of system changes to frame links between design decisions and ilities. In Conference on Systems Engineering Research (CSER), St. Louis, MO.

    Google Scholar 

  34. Pape, L., Giammarco, K., Colombi, J., Dagli, C., Kilicay-Ergin, N., & Rebovich, G. (2013). A fuzzy evaluation method for system of systems meta-architectures. In 2013 Conference on Systems Engineering Research, Atlanta, GA.

    Google Scholar 

  35. Nilchiani, R., & Hastings, D. (2007). Measuring the value of flexibility in space systems: A six-element framework. Systems Engineering, 10(1), 26–44.

    Article  Google Scholar 

  36. Agarwal, S., Pape, L. E., Dagli, C. H., Ergin, N. K., Enke, D., Gosavi, A., et al. (2015). Flexible and intelligent learning architectures for SoS (FILA-SoS): Architectural evolution in systems-of-systems. In 2015 Conference on Systems Engineering Research, Hoboken, NJ.

    Google Scholar 

  37. Calvano, C. N., & John, P. (2004). Systems engineering in an age of complexity. Systems Engineering, 7(1), 25–34.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to James R. Enos .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Enos, J.R. (2019). Using Systems Engineering Ilities to Better Understand Resiliency. In: Adams, S., Beling, P., Lambert, J., Scherer, W., Fleming, C. (eds) Systems Engineering in Context. Springer, Cham. https://doi.org/10.1007/978-3-030-00114-8_3

Download citation

Publish with us

Policies and ethics