Using Enhanced Nested Function Models for Strategic Product Development

  • Horst Th. NählerEmail author
  • Barbara Gronauer


TRIZ provides excellent tools for designing customized problem-solving and product developing processes and algorithms. Strategic decisions can furthermore be strengthened by tools still in development and under research, as the Trends of Engineering Systems Evolution and their underlying mechanisms. One of the difficulties when using TRIZ tools is the large number of possibilities for using and combining them for the best effect. Especially during the analysis phase, a lot of information has to be gathered that leads to problem models and task definition for later problem solving. To expand the usage of analytical tools for strategic decisions for long-term disruptive innovations or short-term incremental innovations, this chapter proposes a scientific approach that is based on the Theory of Inventive Problem Solving and its findings. The described procedure helps companies to find the right long- or short-term decisions:
  1. (a)

    They can check when their product might be eliminated from the market by following products and new settings and define indicators for long-term decisions, what the next products could be;

  2. (b)

    Similar to the forecast procedure the incremental way of further product development can also be checked and with this overview the development steps for the R&D, production, and sales departments can be better planned.


The approach combines proven tools like Function Analysis with a new approach for modeling complex engineering systems (Nested Function Models), 9-Screen Models, S-Curve Analysis, and the Trends of Engineering System Evolution. This chapter examines the interactions between components on different system levels, the use of the model in conjunction with trimming, and the integration of the Multi-Screen Approach for developing a basis for strategic product development decisions. Furthermore, the possibilities of connecting Trends of Engineering Systems with this approach are explored. The suggested approach is aimed at creating an extensive, multilevel product map that combines the benefits of several classical TRIZ tools. It also creates a base for strategic decisions linked to problem-solving opportunities on the operative level.


Strategic Planning Foresight Function Model 9-Screen Model Trends of Engineering System Evolution Systematic Innovation TRIZ 


  1. Altschuller G. S. (1998). Erfinden Wege zur Lösung technischer Probleme, Hrsg. Prof. Dr. Martin G. Möhrle. Cottbus: PI.Google Scholar
  2. Altshuller, G. S. (2000). The innovation algorithm (L. Shulyak & S. Rodman, Trans.). TIC.Google Scholar
  3. Cavallucci, D., Fuhlhaber, S., & Riwan, A. (2014, October 29–31). Assisting decisions in inventive design of complex engineering systems. In Proceedings of the TRIZ future conference 2014 global innovation convention, Ecole Polytechnique Fédérale de Lausanne, Lausanne.Google Scholar
  4. Hentschel, C., Gundlach, C., & Nähler, H. (2010). TRIZ innovation mit system. Munich: Carl Hanser.Google Scholar
  5. Koltze, K., & Souchkov, V. (2011). Systematische innovation. Munich: Carls Hanser.Google Scholar
  6. Nähler, H., Reiffenscheid, C., & Schnittker, F. (2012). TRIZ IT! Der TRIZ Leitfaden. Westport, CT: Terex.Google Scholar
  7. Souchkov, V. (2014, September 4–6). Multi-screen analysis for innovation roadmapping. In T. Kässi & V. Souchkov (Eds.), Proceedings of the 10th international conference TRIZfest 2014, Czech Association of Scientific and Technical Societies (CSVTS), Prague.Google Scholar
  8. Training Material TRIZ Level 3 Certification Training MATRIZ 2006, 2010.Google Scholar

Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  1. 1.c4pi – Center for Product-InnovationHünfeldGermany
  2. 2.StrategieInnovationHünfeldGermany

Personalised recommendations