Abstract
The industrial environment is undergoing the fourth revolution. TRIZ as an effective innovation method possesses an entire system consists of multiple powerful tools like inventive principles and standard solutions to solve technical problems. Since they were invented, many researchers have attempted to further develop them, pointing out some difficulties in applying these tools in a simple way and the need to modify these powerful tools. In line with it, this study introduced Element Variation Innovation Thinking (EVIT), a novelty innovation method, to simplify and reorganize the application system of TRIZ. The variation rules are formed into 9 variation method groups by clustering the existed innovation methods such as the 40 inventive principles in TRIZ. 9 element groups are introduced based on the innovative work practice of Feng’s group. By the intervention of variation method groups, the element groups are converted to form new solutions. To illustrate the proposed method and validate its utility, this study selects the field of coalbed methane (CBM) extraction technology as a use case.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Feng, L.: Element Variation Innovation Thinking: 9 Element Groups and 9 Variation Method Groups in Technological Innovation, 1st edn. Chongqing University Press, Chongqing (2020)
Salamatov, Y., Souchkov, V.: TRIZ: the Right Solution at the Right Time: A Guide to Innovative Problem Solving, p. 256. Hattem, Insytec (1999)
Maimon, O.Z., Horowitz, R.: Sufficient conditions for inventive solutions. IEEE Trans. Syst. 29(3), 349–361 (1999)
Nakagawa, T., Kosha, H., Mihara, Y.: Reorganizing TRIZ solution generation methods into simple five in USIT. In: Proceedings of the ETRIA World Conference, TRIZ Future 2002, Strasbourg, France, 6–8 November 2002, pp. 333–345 (2002)
Liu, Z., Feng, J., Wang, J.: Resource-constrained innovation method for sustainability: application of morphological analysis and TRIZ inventive principles. Sustainability 12(3), 917 (2020)
Moehrle, M.G.: What is TRIZ? From conceptual basics to a framework for research. Creativity Innov. Manag. 14(1), 3–13 (2005)
Feng, L., Niu, Y., Liu, Z., et al.: Discovering technology opportunity by keyword-based patent analysis: a hybrid approach of morphology analysis and USIT. Sustainability 12(01), 136 (2020)
Nakagawa, T.: A new paradigm for creative problem solving: six-box scheme in USIT. In: Proceedings of the ETRIA TRIZ Future 2006, Kortrijk, Belgium, 6–8 October 2006 (2006)
Zwicky, F.: Morphological astronomy. Obs. Didcot 68(845), 121–143 (1957)
Feng, L., Niu, Y., Wang, J.: Development of morphology analysis-based technology roadmap considering layer expansion paths: application of TRIZ and text mining. Appl. Sci. 10(23), 1–37 (2020)
Feng, L., Li, Y., Liu, Z., et al.: Idea generation and new direction for exploitation technologies of coal-seam gas through recombinative innovation and patent analysis. Int. J. Environ. Res. Public Health 17(08), 2928 (2020)
Acknowledgement
This work is supported by Innovation Method Fund of China with grant number 2019IM020200. The statement made herein are solely the responsibility of the authors.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Appendix 1
Appendix 1
Rights and permissions
Copyright information
© 2021 IFIP International Federation for Information Processing
About this paper
Cite this paper
Feng, L., Niu, Y., Wang, J., Chen, Y., Liu, Z., Li, K. (2021). Element Variation Innovation Thinking: A Method of Simplifying and Reorganizing TRIZ. In: Borgianni, Y., Brad, S., Cavallucci, D., Livotov, P. (eds) Creative Solutions for a Sustainable Development. TFC 2021. IFIP Advances in Information and Communication Technology, vol 635. Springer, Cham. https://doi.org/10.1007/978-3-030-86614-3_24
Download citation
DOI: https://doi.org/10.1007/978-3-030-86614-3_24
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-86613-6
Online ISBN: 978-3-030-86614-3
eBook Packages: Computer ScienceComputer Science (R0)