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Systematic technology transfer from biology to engineering.

Julian F V Vincent1, Darrell L Mann

  • 1Department of Mechanical Engineering, The University, Bath BA2 7AY, UK. j.f.v.vincent@bath.ac.uk

Philosophical Transactions. Series A, Mathematical, Physical, and Engineering Sciences
|October 8, 2005
PubMed
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The TRIZ (Teoriya Resheniya Izobretatelskikh Zadatch) method systematically transfers inventive problem-solving knowledge across disciplines. This approach classifies solutions by function, accelerating innovation and creativity by leveraging a vast database of patents and scientific knowledge.

Area of Science:

  • Innovation and Creativity Studies
  • Engineering and Technology
  • Knowledge Management

Background:

  • Interdisciplinary knowledge transfer is often slow and inefficient.
  • Systematic methods are needed to accelerate the sharing of solutions across scientific and engineering fields.
  • Human creativity and problem-solving have been extensively studied.

Purpose of the Study:

  • To present the TRIZ (Teoriya Resheniya Izobretatelskikh Zadatch) method as a systematic approach for inventive problem solving.
  • To demonstrate how TRIZ facilitates knowledge transfer between diverse disciplines.
  • To outline the core components and scope of the TRIZ knowledge base.

Main Methods:

  • Development of a functional classification system for solutions.

Related Experiment Videos

  • Analysis of millions of successful patents and scientific knowledge bases (physical, chemical, mathematical).
  • Identification of inventive principles to overcome technological barriers and evolutionary trends.

    • Main Results:

    • TRIZ has been developed over 1500 person-years, representing a comprehensive study of human creativity.
    • The functional classification covers millions of patents and extensive scientific knowledge.
    • TRIZ includes tools for identifying technological contradictions, evolutionary trends, and methods for system change (Su-fields).

    Conclusions:

    • TRIZ provides a systematic framework for inventive problem solving and interdisciplinary knowledge transfer.
    • The method's functional classification and inventive principles accelerate innovation.
    • While strong in physical sciences, TRIZ currently has limited biological knowledge integration, despite its potential.