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Inventive Problem Solving with TRIZ

Using innovative principles and strategies, TRIZ can lead you to elegant solutions and away from unsatisfying, and potentially flawed, compromises.

Engineers from companies such as Intel, Honeywell and GE have found that by applying the TRIZ method, difficult, long-standing problems can be quickly solved.

This course can be applied to the Plastics Technology Certificate.

Who Should Attend

  • Engineers & Scientists
  • All Types of Managers
  • Students & Educators
  • Black Belts and Lean Experts
  • Inventors
  • IP Attorneys
  • R&D Professionals
  • Administrators

Benefits and Learning Outcomes

  • Develop simple, effective, low-cost solutions to the most difficult problems
  • Have the confidence to innovate just-in-time
  • Speed up time-to-solution by at least 10x, with 10x as many "elegant" solutions to chose from when making selections.

Course Outline/Topics

Topics Covered:

1) What if everything you thought you knew about innovation is wrong?

    a) Common, unproductive notions of “innovation”

    b) New strategies from current thought leaders

    c) Innovation vs. invention vs. creativity

2) What is a good solution?

    a) Effects of high-level education

    b) Expectations of each other in the business world

    c) You’re the judge – are these good solutions?

    d) Implications of “raising the bar”

3) Ideal Solutions

    a) Value Analysis

         i) Harmful functions

         ii) Useful functions

         iii) Cost

    b) Complexity vs. simplicity

    c) Compromises and trade-offs

4) TRIZ – The Theory of Inventive Problem Solving

    a) Lessons from the former USSR

    b) Levels of invention

    c) Inventive principles and strategies

    d) Database of scientific effects

    e) Trends of evolution

5) An algorithm for systematic innovation

    a) Identifying market opportunities

         i) Disruptions

         ii) Blue oceans

         iii) Beyond VOC & QFD

         iv) Outcome-driven innovation

    b) Understanding functions

         i) Function analysis

         ii) Systematic simplification

    c) Understanding problems

         i) Physics-based causal analysis

         ii) Alternative solution paths

         iii) Uncovering contradictions

    d) Eliminating contradictions to create innovations

    e) Predicting the evolution of a function or product

6) Effective learning, usage and implementation

    a) Lessons learned in learning strategies

    b) Appropriate circumstances

    c) Lessons learned in implementation strategies

Dates and locations to be announced.