Function Analysis Plus and Cause-Effect Chain Analysis Plus with Applications
In an inventive problem-solving project, the most important steps are often problem analysis and idea generation. Recently, two practical methods for these steps were introduced by the Korean consulting industry—Function Analysis Plus (FA+) and Cause-Effect Chain Analysis Plus (CECA+). This chapter introduces an application of these two methods in a TRIZ-based Define–Analyze–Solve–Execute (DASE) roadmap for inventive problem solving. The roadmap provides problem solvers an algorithmic roadmap with systematic methods and convenient tools for analysis and ideation. Especially, with FA+ and CECA+, the solver can identify comprehensive solving directions ‘semi-automatically’, which helps the solver to generate rich ideas along diverse solving directions. As an example, these methods are applied to a project of inventing a self-watering flowerpot.
KeywordsFunction analysis Cause effect chain analysis Inventive problem solving TRIZ
I would like to thank Professor Leonid Chechurin at Lappeenranta University of Technology, Finland, and TRIZ masters Vasily Lenyashin and Yury Danilovskiy at QM&E Innovation for their guidance and help in this exciting field of innovation.
- Gerasimov, O. M. (2010). Technology of selecting tools of innovation design based on TRIZ and VEA analysis. TRIZ master dissertion. TRIZ Summit 2010. St. Petersburg, Russia.Google Scholar
- Lee, M.-G. (2016). How to generate simple model solutions systematically from function analysis diagram. TRIZ future conference 2016. Wroclaw, Poland.Google Scholar
- Lee, M.-G. (2017). How to generate ideas systematically from function analysis of an inventive problem. TRIZ future conference 2017. Lappeenranta, Finland.Google Scholar
- Lee, M.-G., Chechurin, L., & Leniachine, V. (2016). Improvement of cause effect chain analysis, CECA+, for systematic cause analysis and semi-automated idea generation for inventive problems. Flexible automation and intelligent manufacturing 2016. Seoul, South Korea.Google Scholar
- Lee, M.-G., Danilovskiy, Y., Lenyashin, V., Kim, S., & Jung, K. (2017). Introduction to a mainstream Korean TRIZ methodology, DASE, and its application in Korea. International conference on systematic innovation 2017. Beijing, People’s Republic of China.Google Scholar
- Litvin, S., Petrov, V., Rubin, M., & Fey, V. (2012). TRIZ body of knowledge. https://matriz.org/auto-draft/triz-body-of-knowledge-final/
- Yworks. (n.d.). 2017. https://www.yworks.com/products/yed