Growth and Development of Computer-Aided Innovation - Third IFIP WG 5.4 Working Conference, CAI 2009, Harbin, China, August 20-21, 2009. Proceedings

It is acknowledged that one of the most critical issues facing today’s organizations concerns the substantial leaps required to methodologically structure innovation. Among other published work, some suggest that a complete rethinking of current practices is required. In this article, we propose a methodology aiming at providing controlled R&D choices based on a monitoring of the impact Solution Concepts provoke on a problematic situation. Initially this problematic situation is modeled in a graph form, namely a Problem Graph. It has the objective to assists R&D managers when choosing which activities to support and bring them concrete arguments to defend their choices. We postulate that by improving the robustness of such approaches we help deciders to switch from intuitive decisions (mostly built upon their past experiences, fear regarding risks, and awareness of the company’s level of acceptance of novelties) to thoroughly constructed inventive problem solving strategies. Our approach will be discussed using a computer application that illustrates our hypothesis after being tested in several industrial applications.

[1]  Lawrence D. Miles,et al.  Techniques Of Value Analysis And Engineering , 1961 .

[2]  R. Mayer Thinking, Problem Solving, Cognition , 1983 .

[3]  Darrell Mann,et al.  Hands-on systematic innovation , 2002 .

[4]  Jacob Goldenberg,et al.  Templates of Original Innovation: Projecting Original Incremental Innovations from Intrinsic Information , 1999 .

[5]  Zhongqin Lin,et al.  Algorithm of integrating QFD and TRIZ for the innovative design process , 2005, Int. J. Comput. Appl. Technol..

[6]  Herbert Moskowitz,et al.  QFD optimizer: a novice friendly quality function deployment decision support system for optimizing product designs , 1997 .

[7]  T. Amabile,et al.  The conditions of creativity. , 1988 .

[8]  Sevin Sozer,et al.  Product planning in quality function deployment using a combined analytic network process and goal programming approach , 2003 .

[9]  Clayton M. Christensen The Innovator's Dilemma : the revolutionary national bestseller that changed the way we do business , 2000 .

[10]  Yuan Cai-yun Study on the conceptual design process based on QFD and TRIZ , 2002 .

[11]  Michael A. Mullens,et al.  AN AHP FRAMEWORK FOR PRIORITIZING CUSTOMER REQUIREMENTS IN QFD: AN INDUSTRIALIZED HOUSING APPLICATION , 1994 .

[12]  Jacob Goldenberg,et al.  Using cellular automata modeling of the emergence of innovations , 2001 .

[13]  Liang-Hsuan Chen,et al.  Fuzzy approaches to quality function deployment for new product design , 2009, Fuzzy Sets Syst..

[14]  Richard Y. K. Fung,et al.  A new approach to quality function deployment planning with financial consideration , 2002, Comput. Oper. Res..

[15]  M. Mcguire New Think: The Use of Lateral Thinking in the Generation of New Ideas , 1969 .

[16]  Shao Fei Jiang,et al.  Research on Innovative Product Design System Based on QFD and TRIZ , 2006 .

[17]  She Yuan-guan Study on problem-solving theory based on QFD,TRIZ and Taguchi methods , 2008 .