Interactive training model of TRIZ for mechanical engineers in China
Chinese Journal of Mechanical Engineering volume 27, pages 240–248 (2014)
Innovation is a process of taking an original idea and converting it into a business value, in which the engineers face some inventive problems which can be solved hardly by experience. TRIZ, as a new theory for companies in China, provides both conceptual and procedural knowledge for finding and solving inventive problems. Because the government plays a leading role in the diffusion of TRIZ, too many companies from different industries are waiting to be trained, but the quantity of the trainers mastering TRIZ is incompatible with that requirement. In this context, to improve the training effect, an interactive training model of TRIZ for the mechanical engineers in China is developed and the implementation in the form of training classes is carried out. The training process is divided into 6 phases as follows: selecting engineers, training stage-1, finding problems, training stage-2, finding solutions and summing up. The government, TRIZ institutions and companies to join the programs interact during the process. The government initiates and monitors a project in form of a training class of TRIZ and selects companies to join the programs. Each selected companies choose a few engineers to join the class and supervises the training result. The TRIZ institutions design the training courses and carry out training curriculum. With the beginning of the class, an effective communication channel is established by means of interview, discussion face to face, E-mail, QQ and so on. After two years training practices, the results show that innovative abilities of the engineers to join and pass the final examinations increased distinctly, and most of companies joined the training class have taken congnizance of the power of TRIZ for product innovation. This research proposes an interactive training model of TRIZ for mechanical engineers in China to expedite the knowledge diffusion of TRIZ.
LALE Gumusluoglu, ARZU Ïlsev. Transformational leadership and organizational innovation: the roles of internal and external support for innovation[J]. Journal of Product Innovation Management, 2009, 26(3):264–277.
ZHAO Yanjun, ZHANG Mingqian. China manufacturing industrial competence: evaluation and analysis[J]. Economics Theory and Economical Management, 2005, 25(5):23–30.
LI Jingwen, HUANG Lucheng. Reflection on the innovation strategies for China manufacturing industry[J]. China Soft Science, 2003(1): 23–26. (in Chinese)
HUANG Lucheng, LUO Yafei, ZHANG Hongcai, et al. Technology innovation ability analysis of Beijing’s manufacturing industry[C]//Proceedings of IEEE International Conference on Management of Innovation and Technology, Singapore, June 21–23, 2006: 195–201.
ZHANG Yong. Analysis and evaluation of enterprise innovation ability conversion[J]. International Journal of Innovative Management, Information & Productio, 2010, 1(1):73–81.
ROBERT V M. Factors influencing an organization’s ability to manage innovation: a structured literature review and conceptual model[J]. International Journal of Innovation Management, 2008, 12(4):655–676.
LIVESAY H C, Lux D S, BROWN M A. Human factors and the innovation process[J]. Technovation, 1996, 16(4):173–186.
DEPPE L, KOHN S, PAOLETTIF, et al. The holistic view of the front end of innovation[C]//Proceedings of Conference on Innovation Management Technologies and New Product Development, Mantova, Italy, October 17–18, 2002: 1–18.
PAHL G, BEITZ W. Engineering design-A systematic approach [M]. 2nd ed. London: Springer, 1996.
EVANS J R. Creative thinking in the decision and management sciences[M]. Cincinnati, OH: South-Western Publishing, 1991.
SAVRANSKY S D. Attributes of the inventive problems[R]. AAAI Spring Symposium on Search Techniques for Problem Solving under Uncertainty and Incomplete Information, Stanford University, 1999:113–118.
KARNI R, SHALEV S. Fostering innovation in conceptual product design through ideation[J]. Information, Knowledge, Systems Management, 2004, 4(1):15–33.
SMITH G F, Idea generation techniques: a formulary of active ingredients[J]. Journal of Creative Behavior, 1998, 32(2): 107–133.
CAVALLUCCI D, KHOMENKO N. From TRIZ to OTSM-TRIZ: addressing complexity challenges in inventive design[J]. International Journal of product Development, 2007, 4(1, 2):4–21.
BENAMI Oren, JIN Yan. Creative stimulation in conceptual design[C]//Proceedings of ASME Design Engineering Technical Conference(DETC2002/DTM-34023), Montreal, Canada, Sep 29–Oct 2, 2002: 1–13.
TOMIYAMA T, GU P, JIN Y, et al. Design methodologies: industrial and educational applications[J]. CIRP Annals-Manufacturing Technology, 2009, 58(2):543–565.
RITTLE-JOHNSON B, SIEGLER R S, ALIBALI M W. Developing conceptual understanding and procedural skill in mathematics: an iterative process[J]. Journal of Educational Psychology, 2001, 93(2):346–362.
SCHNEIDER M, STEM E. The developmental relations between conceptual and procedural knowledge: A multi-method approach[J]. Developmental Psychology, 2010, 46(1):178–192.
FEY V, RIVIN E. Innovation on demand[M]. New York: Cambridge University Press, 2005.
HOUSSIN R, COULIBALY A. An approach to solve contradiction problems for the safety integration in innovative design process[J]. Computers in Industry, 2011, 62(4):398–406.
JULIAN F V, OLGA B, PAHL A K. Putting biology into TRIZ: A database of biological effects[J]. Creativity and Innovation Management, 2005, 14(1):66–72.
SAVRANSKY S D. Engineering of creativity[M]. New York: CRC Press, 2000.
KUCHARAVY D, GUIO R D. Application of S-shaped curves[J]. Procedia Engineering, 2011, 9:559–572.
CASCINI G, ROTINI F, RUSSO D. Networks of trends: systematic definition of evolutionary scenarios[J]. Procedia Engineering, 2011, 9:355–367.
ALTSHULLER G. The innovation algorithm: TRIZ systematic innovation and technical creativity[M]. Worcester: Technical Innovation Center, Inc., 1999.
SILVERSTEIN D, SAMUEL P, DECARLO N. The innovator’s toolkit[M], New Jersey: John Wiley & Sons, Inc., 2009.
KAPLAN S, VISNEPOLSCHI S, ZLOTIN B, et al. New Tools for Failure and Risk Analysis: an introduction to anticipatory failure determination(AFD) and the theory of scenario structuring[M]. Southfield: Ideation International Inc., 1999.
RANTANEN K, DOMB E. Simplified TRIZ[M]. 2nd ed. New York: Auerbach Pub, 2008.
JUN Q, SHIN D L. TRIZ Propagation strategies in SAMSUNG Electronics Co.[EB/OL]. http://www.triz.co.kr/data/qcjun.pdf [accessed 04. 23.2010].
TAN Runhua. Eliminating technical obstacles in innovation pipelines using CAIs[J]. Computers in Industry, 2011, 62(4):414–422.
TAN Runhua, MA Jianhong, LIU Fang, et al. UXDs-driven conceptual design process model for contradiction solving using CAIs[J]. Computers in Industry, 2009, 60(8): 584–591.
This project is supported by National Natural Science Foundation of China(Grant Nos. 51275153, 51105128), National Innovation Project of China(Grant No. 2011IM010200), and Social Science Planning Fund Program of Hebei Province, China(Grant No. HB13GL050)
TAN Runhua, born in 1958, is currently a professor at Hebei University of Technology, China, and the director of National Technological Innovation Method and Tool Engineering Research Center, China. He received his PhD degree from Zhejiang University, China, in 1998. His research interests include innovative design, TRIZ theory and application, technological innovation process management and design for mass customization.
ZHANG Huangao, born in 1973, is currently a vice-professor at Hebei University of Technology, China. He received his PhD degree from Hebei University of Technology, China, in 2009. His research interests include innovative design and product platform design.
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Tan, R., Zhang, H. Interactive training model of TRIZ for mechanical engineers in China. Chin. J. Mech. Eng. 27, 240–248 (2014). https://doi.org/10.3901/CJME.2014.02.240
- interactive training model
- innovative abilities for mechanical engineers
- knowledge diffusion