Innovation Dilemmas, Design Optimization, and Info-Gaps

  • Yakov Ben-HaimEmail author
Conference paper
Part of the Conference Proceedings of the Society for Experimental Mechanics Series book series (CPSEMS)


Engineering designers seek innovative solutions to operational problems. The power of technological innovation is tremendous, and we invest great effort in training and promoting innovative design practice. However, one of the challenges in time-constrained design is that innovative ideas are usually less well understood than standard state of the art methods. This implies that innovative design solutions may contain hidden vulnerabilities that are absent from state of the art methods. While the innovative design may indeed be surprisingly better than the state of the art, it may also fail in surprising ways. We begin with a brief discussion of the non-probabilistic nature of ignorance. We then introduce the idea of an innovation dilemma and its resolution by info-gap robust-satisficing. We consider an example from the analysis of stress concentration around holes with uncertain shape.


Innovation dilemma Info-gap Robustness Engineering design Stress concentration 


  1. 1.
    Ben-Haim, Y.: Info-Gap Decision Theory: Decisions Under Severe Uncertainty, 2nd edn. Academic, London (2006)Google Scholar
  2. 2.
    Ben-Haim, Y.: Info-Gap Economics: An Operational Introduction. Palgrave-Macmillan, London (2010)CrossRefGoogle Scholar
  3. 3.
    Ben-Haim, Y.: Doing our best: optimization and the management of risk. Risk Anal. 32 (8), 1326–1332 (2012)MathSciNetCrossRefGoogle Scholar
  4. 4.
    Ben-Haim, Y.: Why risk analysis is difficult, and some thoughts on how to proceed. Risk Anal. 32 (10), 1638–1646 (2012)CrossRefGoogle Scholar
  5. 5.
    Ben-Haim, Y.: Robust satisficing and the probability of survival. Int. J. Syst. Sci. 45, 3–19 (2014)MathSciNetCrossRefzbMATHGoogle Scholar
  6. 6.
    Ben-Haim, Y., Dacso, C.C., Carrasco, J., Rajan, N.: Heterogeneous uncertainties in cholesterol management. Int. J. Approx. Reason. 50, 1046–1065 (2009)CrossRefGoogle Scholar
  7. 7.
    Ben-Haim, Y., Osteen, C.D., Moffitt, L.J.: Policy dilemma of innovation: an info-gap approach. Ecol. Econ. 85, 130–138 (2013)CrossRefGoogle Scholar
  8. 8.
    Givoli, D., Isaac, E.: Stress concentration at a nearly circular hole with uncertain irregularities. ASME J. Appl. Mech. 59, S65–S71 (1992)CrossRefzbMATHGoogle Scholar
  9. 9.
    Knight, F.H.: Risk, Uncertainty and Profit. Houghton Mifflin, Boston (1921). Re-issued by University of Chicago Press, Chicago (1971)Google Scholar
  10. 10.
    Schwartz, B.: Paradox of Choice: Why More Is Less. Harper Perennial, New York (2004)Google Scholar
  11. 11.
    Sha’eir, O.: Analysis of stress concentration around a hole with uncertain shape, based on info-gap theory (in Hebrew). MSc thesis, Technion—Israel Institute of Technology (2014)Google Scholar
  12. 12.
    Simon, H.: Rational choice and the structure of the environment. Psychol. Rev. 63 (2), 129–138 (1956)CrossRefGoogle Scholar
  13. 13.
    Wald, A.: Statistical decision functions which minimize the maximum risk. Ann. Math. 46 (2), 265–280 (1945)MathSciNetCrossRefzbMATHGoogle Scholar

Copyright information

© The Society for Experimental Mechanics, Inc. 2016

Authors and Affiliations

  1. 1.Faculty of Mechanical Engineering, Yitzhak Moda’i Chair in Technology and EconomicsTechnion—Israel Institute of TechnologyHaifaIsrael

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