Designing Systems with Adaptability in Mind

  • Haifeng ZhuEmail author
Conference paper


Designing a complex cyber-physical or manufactured system requires a significant amount of effort. A good design needs to be adaptable to requirement changes, however should also avoid unbounded margins that can be costly. Achieving this fine balance is difficult. This paper presents a design process that takes adaptability into consideration. By exploring the missions a system can support within a specified limit of additional engineering costs, we are able to characterize this system’s adaptability. Such a characterization inherits the original meaning of adaptability in ecosystems that describes a system’s ability of maintaining the original goals even when facing ongoing changes, and allows it be computable in industry. A new design process for a product family is then established to identify designs that support the most missions while controlling costs. An HVAC example is used to illustrate such a design process that helps maximize mission performance and reduce costs.


  1. 1.
    Chan, H.K.: Comparative study on flexibility and adaptability (2010)Google Scholar
  2. 2.
    Nilchiani, R.: Measuring space systems flexibility: a comprehensive six-element framework. Ph.D. thesis, MIT (2005)Google Scholar
  3. 3.
    Ross, A., et. al.: Defining system changeability: reconciling flexibility, adaptability, scalability, and robustness for maintaining system lifecycle value. INCOSE (2007)Google Scholar
  4. 4.
    Sethi, A., Sethi, S.: Flexibility in manufacturing: a survey. Int. J. Flex. Manuf. Syst. 2(4) (1990)Google Scholar
  5. 5.
    Holtta-Otto, K., de Weck, O.: Degree of modularity in engineering systems and products with technical and business constraints. Concurrent Eng.: Res. Appl. 15, 113–126 (2007)Google Scholar
  6. 6.
    Kochikar, V., Narendran, T.: A framework for assessing the flexibility of manufacturing systems. Int. J Prod. Res. 30, 2873–2895 (1992)Google Scholar
  7. 7.
    Shaw, et. al.: Development of the quantitative generalized information network analysis (GINA) methodology for satellite systems, Jnl. spacecraft & rockets (2001)Google Scholar
  8. 8.
    Shewchuk, J.P.: A set of generic flexibility measures for manufacturing applications. Int. J. Prod Res. (1999)Google Scholar
  9. 9.
  10. 10.
    Jose Antonio Martin H., et. al.: Adaptation, anticipation and rationality in natural and artificial systems: computational paradigms mimicking nature. Nat. Comput. 8(4) (2009)Google Scholar
  11. 11.
    Gu, P., Hashemian, M., Nee, A.Y.C.: Adaptabile Design, CIRP Annals. Manufacturing Technology (2004)Google Scholar
  12. 12.
    DARPA Adaptive Vehicle Make program (2011)Google Scholar
  13. 13.
    Silver, M., de Weck, O.: Time-expanded decision networks: a framework for designing evolvable complex systems. Syst. Eng. 10(2), 167–186 (2007)CrossRefGoogle Scholar
  14. 14.
    Andresen, K., Gronau, N.: An approach to increase adaptability in ERP systems: managing modern organizations with information technology. Information Resources Management Association International Conference, 2005Google Scholar
  15. 15.
    Sinha, K., de Week, O., A network-based structural complexity metric for engineered complex systems. IEEE International Systems Conference (SysCon), 2013Google Scholar

Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  1. 1.United Technologies Research CenterEast HartfordUSA

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