In order to improve the innovation process, concurrent engineering may be associated with knowledge capitalization methods. The objective is to reuse knowledge having emerged during previous innovative projects. This article brings a methodological contribution to project feedback within new product development tasks. First, the interests of project feedback activities are underlined. More particularly, the impact of project feedback on knowledge management cycles is discussed. Then, a methodology based on a specific information extraction approach from past projects is detailed. The TRIZ theory constitutes the theoretical background of this research. An experiment in the field of machinery development is presented. To conclude, this article discusses the assets and limits of the approach and gives some practical advice concerning the use of memorized data within innovative projects.
Yoshimura, M. , Izui, K. and Kida, S. (2005). Decisions Support System for Selecting Collaborative Product Development Partners, Concurrent Engineering: Research and Applications, 13(1): 5-11.
2.
Turino, J. ( 1992). Managing Concurrent Engineering: Buying Time to Market , pp. 1-12, New York: Van Nostrand Reinhold Company.
3.
Prasad, B. ( 1997). Concurrent Engineering Fundamentals: Integrated Product Development, Vol. 2, Upper Saddle River, New Jersey: Prentice Hall PTR.
4.
Drucker, P. ( 1993). From Capitalism to Knowledge Society, in Post-Capitalism Society, New York: HarperCollins .
5.
Renaud, J., Boly, V. and Rault-Jacquot, V. ( 2001). Knowledge Capitalization and Time Reduction within Concurrent Engineering Concepts: Some Applications, Concurrent Engineering: Research and Applications, 9(4): 295-307.
6.
Grundstein, M. and Barthe`s, J.P. ( 1996). An Industrial View of the Process of Capitalizing Knowledge , In: Proceeding of the International Symposium on Management of Industrial and Corporate Knowledge, ISMICK’96, Rotterdam, 21-22 October, Vol. 1, pp. 258-264.
7.
Duhovnik, J. , Kusar, J., Tomazevic, R. and Starbek, M. (2006). Development Process with Regard to Customer Requirements, Concurrent Engineering: Research and Applications, 14(1): 67-82.
8.
Baxter, D., Gao, J., Case, K., Harding, J., Young, B., Cochrane, S. and Dani, S. ( 2008). A Framework to Integrate Design Knowledge Reuse and Requirements Management in Engineering Design, Robotics and Computer-integrated Manufacturing, 24: 585-593.
9.
Chang, D.R. and Cho, H. ( 2008). Organizational Memory Influences New Product Success , Journal of Business Research, 61: 13-23.
10.
Renaud, J., Lefebvre, A. and Fonteix, C. ( 2004). Improvement of the Design Process through Knowledge Capitalization: An Approach by Know-how Mapping, Concurrent Engineering: Research and Applications, 12(1): 25-37.
11.
Grundstein, M., Rosenthal-Sabroux , C. and Pachulski, A. (2003). Reinforcing Decision Aid by Capitalizing on Company’s Knowledge: Future Prospects, European Journal of Operational Research, 145: 256-272.
12.
Buckler, M. and Zien, X. (1996). From Experience, the Spirituality of Innovation: Learning from Stories, Journal of Product Innovation Management, 13(5): 391-405.
13.
Lynn, G.S., Skov, R. and Abel, K. ( 1999). Practices That Support Team Learning and Their Impact on Speed to Market and New Product Success, Journal of Product Innovation Management, 16: 439-455.
14.
Wirth, R., Berthold, B., Krämer, A. and Peter, G. ( 1996). Knowledge-based Support of System Analysis for the Analysis of Failure Modes and Effects, Engineering Applications of Artificial Intelligence, 9(3): 219-229.
15.
Nonaka, I. ( 1994). A Dynamic Theory of Organizational Knowledge Creation , Journal of Organisation Science, 5: 14-37.
16.
Liu, P.-O. , Chen, W.-C. and Tsai, C.-H. (2005). An Empirical Study on the Correlation between the Knowledge Management Method and New Product Development Strategy on Product Performance in Taiwan’s Industries, Technovation, 25: 637-644.
17.
Nonaka, I., Toyama, R. and Konno, N. ( 2000). SECI, 13a and Leadership: a Unified Model of Dynamic Knowledge Creation, Long Range Planning, 33: 5-34.
18.
Nonaka, I. and Konno, N. ( 1998). The Concept of ‘‘Ba’’: Building a Foundation for Knowledge Creation, California Management Review, 40: 40-54.
19.
Polanyi, M. ( 1967). The Tacit Dimension, Garden City, New York: Anchor Books.
20.
Mascitelli, R. (2000). From Experience: Harnessing Tacit Knowledge to Achieve Breakthrough Innovation, Journal of Product Innovation Management, 17: 179-193.
21.
Haque, B.U. , Belecheanu, R.A., Barson, R.J. and Pawar, K.S. (2000). Toward the Application of Case Based Reasoning to Decision-making in Concurrent Product Development (Concurrent Engineering), Knowledge-based Systems, 13: 101-112.
22.
Woo, J.-H. , Clayton, M.J. and Johnson, R.E. (2004). Dynamic Knowledge Map: Reusing Experts’ Tacit Knowledge in the AEC Industry, Automation in Construction, 13: 203-207.
23.
Faro, A. and Giordano, D. ( 1998). Concept Formation from Design Cases: Why Reusing Experience and Why Not, Knowledge-based Systems, 11: 437-448.
24.
Griffin, A. (1997). PDMA Research New Product Development Practices, Updating Trends and Benchmarking Best Practices, Journal of Product Innovation, 14(6): 429-459.
25.
Altshuller, G. (1999). TRIZ The Innovation Algorithm, Systematic Innovation and Technical Creativity. Traduit par Lev Shulyak et Steven Rodman, Worcester, MA: Technical Innovation Center Inc.
26.
Cavalluci, D. (1999). Triz: l’approche altshullérienne de la créativité, Techniques de l’ingénieur, traité de génie industriel A, 5211: 1-18.
27.
Srinivasan, R. and Kraslawski A. (2006). Application of the TRIZ Creativity Enhancement Approach to Design of Inherently Safer Chemical Processes , Journal of Chemical Engineering and Processing, 45(6): 507-514.
28.
Stratton, R. and Warburton, R.D.H. (2006). Managing the Trade-off Implications of Global Supply, International Journal of Production Economics, 103: 667-679.
29.
Loh, H.T. , Cong, H. and Lixiang, S. (2006). Automatic Classification of Patent Documents for TRIZ Users, Journal of World Patent Information, 28: 6-13.
30.
Stratton, R. and Mann, D. (2003). Systematic Innovation and the Underlying Principles behind TRIZ and TOC, Journal of Materials Processing Technology, 139: 120-126.
31.
Boly, V., Morel, L., Renaud, J. and Guidat, C. ( 2000). Innovation in Low Tech SMBs: Evidence of a Necessary Constructivist Approach, Technovation, 20: 161-168.
32.
Cavallucci, D. and Weill, R.D. (2001). Integrating Altshuller’s Development Laws for Technical Systems into the Design Process, CIRP Annals - Manufacturing Technology, 50(1): 115-120.
33.
Callon, M. ( 1992). Variety and Irreversibility in Networks of Technique Conception and Adoption, In: Technology and the Wealth of Nation, Foray, d’a et Freeman, C. (dir.), pp. 232-268, London: Frances Printer.
