Eliminating technical obstacles in innovation pipelines using CAIs

Ill-structured problems are difficult types to solve. When this type of problem is faced in an innovation pipeline, a technical obstacle emerges. Comparison between the definitions of ill-structured and inventive problems in theory of inventive problem solving (TRIZ) shows that the latter is a sub-set of the former in engineering. As a result, computer-aided innovation (CAI) systems (CAIs) based on TRIZ can be applied to solve some ill-structured problems that appear in an innovation pipeline. A model including two technical obstacles is developed for an innovation pipeline, and a case study is carried out to show how to eliminate the technical obstacles using the model.

[1]  Semyon D. Savransky Attributes of the Inventive Problems , 1999 .

[2]  Gerald W. Evans,et al.  The impact of training on the formulation of ill-structured problems , 2007 .

[3]  Yan Jin,et al.  Creative Stimulation in Conceptual Design , 2002 .

[4]  Alan L. Meyrowitz,et al.  Foundations of Knowledge Acquisition: Cognitive Models of Complex Learning , 2012 .

[5]  Denis Cavallucci,et al.  Integrating Altshuller's development laws for technical systems into the design process , 2001 .

[6]  Stefan Kohn,et al.  Computer aided innovation - State of the art from a new product development perspective , 2009, Comput. Ind..

[7]  Austin Henderson The innovation pipeline: design collaborations between research and development , 2005, INTR.

[8]  H. Rittel,et al.  Dilemmas in a general theory of planning , 1973 .

[9]  Wolfgang Beitz,et al.  Engineering Design: A Systematic Approach , 1984 .

[10]  Denis Cavallucci,et al.  From TRIZ to OTSM-TRIZ: addressing complexity challenges in inventive design , 2007 .

[11]  Balkrishna C. Rao,et al.  How to Measure Innovation , 2010 .

[12]  James R. Evans Creative Thinking in the Decision and Management Sciences , 1991 .

[13]  Noel León,et al.  The future of computer-aided innovation , 2009 .

[14]  Zhongsheng Hua,et al.  A method of product improvement by integrating FA with TRIZ software tools , 2007 .

[15]  Runhua Tan,et al.  E-CAFD: Extended-Effect Driven Computer-Aided Functional Design , 2008 .

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

[17]  Hod Lipson,et al.  Conceptual design and analysis by sketching , 2000, Artificial Intelligence for Engineering Design, Analysis and Manufacturing.

[18]  Reuven Karni,et al.  Fostering Innovation in Conceptual Product Design through Ideation , 2004, Inf. Knowl. Syst. Manag..

[19]  Fumihiko Kimura,et al.  Design methodologies: Industrial and educational applications , 2009 .

[20]  Gintaras V. Reklaitis,et al.  A framework for addressing stochastic and combinatorial aspects of scheduling and resource allocation in pharmaceutical R&D pipelines , 2008, Comput. Chem. Eng..

[21]  J. F. Voss Toulmin’s Model and the Solving of Ill-Structured Problems , 2005 .

[22]  Runhua Tan Process of two stages Analogy-based Design employing TRIZ , 2007 .

[23]  Stellan Ohlsson,et al.  The Interaction Between Knowledge and Practice in the Acquisition of Cognitive Skills , 1993 .

[24]  Richard Coyne,et al.  Wicked problems revisited , 2005 .

[25]  Alexander Brem,et al.  Integration of market pull and technology push in the corporate front end and innovation management—Insights from the German software industry , 2009 .

[26]  Susan Chipman,et al.  Foundations of Knowledge Acquisition , 1993 .

[27]  Matthew J. Liberatore,et al.  Expert Support Systems for New Product Development Decision Making: A Modeling Framework and Applications , 1995 .

[28]  Victor Fey,et al.  Innovation on demand , 2005 .

[29]  Sissel Guttormsen Schär The influence of the user interface on solving well- and ill-defined problems , 1996, Int. J. Hum. Comput. Stud..

[30]  David Hitchcock,et al.  Arguing on the Toulmin Model: New Essays in Argument Analysis and Evaluation , 2010 .

[31]  Gerald F. Smith Idea‐Generation Techniques: A Formulary of Active Ingredients , 1998 .

[32]  Vincent Aleven,et al.  Defining "Ill-Defined Domains"; A literature survey. , 2006 .

[33]  Vincent Aleven,et al.  Concepts, Structures, and Goals: Redefining Ill-Definedness , 2009, Int. J. Artif. Intell. Educ..

[34]  Ma,et al.  SYSTEMATIC METHOD TO GENERATE NEW IDEAS IN FUZZY FRONT END USING TRIZ , 2008 .

[35]  Fang Liu,et al.  UXDs-driven conceptual design process model for contradiction solving using CAIs , 2009, Comput. Ind..

[36]  Kathryn Cormican,et al.  Auditing best practice for effective product innovation management , 2004 .

[37]  Robert G. Cooper,et al.  From Experience: The invisible success factors in product innovation , 1999 .