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Eco-Innovation by Anticipatory Failure Determination (AFD) Method

Part of: Responsible Design

Published online by Cambridge University Press:  26 July 2019

Jahau Lewis Chen  and
Chuan Hung Jr

Abstract

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This paper presents an eco-innovation method by revised the “Anticipatory Failure Determination (AFD)” method which is the failure analysis tools in TRIZ theory. Using the functional analysis to list the system process and make the functional analysis model. Based on the environmental efficiency factors and functional analysis model, Substance-Field inverse analysis can find a lot of failure modes in the system. In order to assess the priority of risk improvement, the designer can calculate the environmental risk priority number including controlling documents, public image and environmental consequences. Designer can quickly find out the potential failure mode in the complex engineering system with the systematic steps. The TRIZ methods are used for finding eco-innovation idea to solve failure problem. The capability of the whole eco-innovative design process was illustrated by the electrical motorcycle case.

Keywords

EcodesignInnovationSustainabilityTRIZAFD
Type
Article
Information
Proceedings of the Design Society: International Conference on Engineering Design , Volume 1 , Issue 1 , July 2019 , pp. 3271 - 3280
Creative Commons
Creative Common License - CCCreative Common License - BYCreative Common License - NCCreative Common License - ND
This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives licence (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is unaltered and is properly cited. The written permission of Cambridge University Press must be obtained for commercial re-use or in order to create a derivative work.
Copyright
© The Author(s) 2019

References

Chang, H. and Chen, J. (2003), “The conflict-problem-solving CAD software integrating TRIZ into eco-innovation”, Journal of the Advance in Engineering Software, Vol. 35, pp. 553–566.Google Scholar
Chen, J. and Liu, C. (2001), “An Eco-Innovative Design Approach Incorporating the TRIZ Method without Contradiction Analysis”, Journal of Sustainable Product Design,Vol. 1 No. 4, pp. 263–272.Google Scholar
Chen, J. and Yang, Y. (2011), “Eco-innovation by integrating biomimetic with TRIZ ideality and evolution rules”, Globalized Solutions for Sustainability in Manufacturing, 18th CIRP International Conference on Life Cycle Engineering, Braunschweig, Germany, J., Hesselbach and C. Herrmann, Eds., Springer, pp. 101–106.Google Scholar
Chen, W. and Chen, J. (2014), “Eco-innovation by Integrating Biomimetic Design and ARIZ”, Procedia CIRP, Vol. 15, pp. 401–406.Google Scholar
Gogoro. (2016), “Zero-thefts-of-gogoro”, Available at:https://www.gogoro.com/tw/press/releases/2016-10-19-zero-thefts-of-gogoro/Google Scholar
Jones, E. and Harrison, D. (2000), “Investigating the Use of TRIZ in Eco-innovation”, The TRIZ Journal, Sep.Google Scholar
Kaplan, S., Visnespolschi, S., Zlotin, B. and Zusman, A. (2005), New Tools for Failure and Risk Analysis: An Introduction to Anticipatory Failure Determination (AFD) and the Theory of Scenario Structuring. ISBN 1-928747-0-51.Google Scholar
Lindahl, M., Tingstrom, J. and Jensen, C. (2000), “A Comparison between the Environmental Effect Analysis (EEA) and the Life Cycle Assessment (LCA) Methods - Based on Four Case Studies”, Proceedings of the 7th International Seminar on Life Cycle Engineering, November 27-29, Tokyo, Japan.Google Scholar
Lindahl, M. and Tingstrom, J. (2001), A Small Textbook on Environmental Effect Analysis, Department of Technology University of Kalmar, Sweden.Google Scholar
Ruhe, T.W. (2003), “Anticipating Failures with Substance-Field Inversion”, TRIZ-Journal, Feb 2003, Available at: https://triz-journal.com/anticipating-failures-substance-field-inversion-triz-methods-case-study/.Google Scholar
Russo, D., Birolini, V. and Ceresoli, R. (2016), “FIT: a TRIZ based Failure Identification tool for Product-Service Systems”, Procedia CIRP, Vol. 47, pp. 210–215.Google Scholar
Savransky, S.D. (2000), Engineering of Creativity. CRC Press, U.S.Google Scholar
Sunday, E. (2014), Extension and Modication of Anticipatory Failure Determination Approach Based on I-TRIZ. University of Stavanger, Norway, June.Google Scholar
Ungvari, S. (1999), “The Anticipatory Failure Determination Fact Sheet”, TRIZ-Journal, Oct 1999, Available at: https://triz-journal.com/anticipatory-failure-determination-fact-sheet/Google Scholar
Wang, L. and Qiu, W. (2014), “E-Bike Head-Lamp Failure Analysis based-on Failure Anticipation Analysis”, Applied Mechanics & Materials, Vol. 668–669, pp. 916–919.Google Scholar
Yang, C. and Chen, J. (2011), “Accelerating Preliminary Eco-innovation Design for Products that Integrates Case-Based Reasoning and TRIZ method”, Journal of Cleaner Production, vol. 19, pp. 998–1006.Google Scholar