Trends in Computer Aided Innovation -

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Résumé :
Computer Aided Innovation (CAI) is a young domain in the array of CAx technologies, the goal of which is to support enterprises throughout the complete innovation process. This book has a comprehensive vision which conceives CAI systems beginning at the creative stage of perceiving business opportunities and customer demands, then continuing to help in developing inventions and turning inventions into successful innovations in the market. Computer Aided Innovation considers changes in innovation paradigms inspired by modern Innovation Theories such as TRIZ, ASIT, Axiomatic Design, Synectics, General Theory of Innovation, Mind Mapping, Brain Storming, and Lateral Thinking, among others. The 2nd IFIP Working Conference on Computer Aided Innovation aims at clarifying the essential factors characterizing these new arising tools for bridging the gap between the traditional methods and current trends in search of efficient innovation.

Sommaire:
UXDs-Driven Contradiction Solving For Conceptual Design Using CAIs.- Computational Explorations of Compatibility and Innovation.- Emergent contradictions: A synthesis of TRIZ and complex systems theory.- Creative Tower Generated by Computational Intelligence.- General Theory of Innovation.- Locating Creativity in a Framework of Designing for Innovation.- Research and Implementation of Product Functional Design Based on Effect.- OTSM Network of Problems for representing and analysing problem situations with computer support.- A Text-Mining-based Patent Analysis in Product Innovative Process.- Technology Innovation of Product Using CAI System Based on TRIZ.- Axiom-based Potential Functional Failure Analysis for Risk-free Design.- Using the CAI Software (InventionTool 3.0) to solve complexity problem.- Generative Art Images by Complex Functions Based Genetic Algorithm.- Supporting the Sytematization of Early-Stage-Innovation by Means of Collaborative Working Environments.- Constraint based modelling as a mean to link dialectical thinking and corporate data. Application to the Design of Experiments..- Development of Standard Solutions CAI System with UML and XML.- Computer-Aided Patent Analysis: finding invention peculiarities.- Automatic shape variations for optimization and innovation.- Enhancing interoperability in the design process, the PROSIT approach.- Comparison of Strategies for the Optimization/Innovation of Crankshaft Balance.- Collaboration in automotive winter testing.- Future of CAE and Implication on Engineering Education.