Computer-Aided Innovation (CAI) is emerging as a strategic domain of research and application to support enterprises throughout the overall innovation process. The 5.4 Working Group of IFIP aims at defining the scientific foundation of Computer Aided Innovation systems and at identifying state of the art and trends of CAI tools and methods. These Proceedings derive from the second Topical Session on Computer- Aided Innovation organized within the 20th World Computer Congress of IFIP. The goal of the Topical Session is to provide a survey of existing technologies and research activities in the field and to identify opportunities of integration of CAI with other PLM systems. According to the heterogeneous needs of innovation-related activities, the papers published in this volume are characterized by multidisciplinary contents and complementary perspectives and scopes. Such a richness of topics and disciplines will certainly contribute to the promotion of fruitful new collaborations and synergies within the IFIP community. Gaetano Cascini th Florence, April 30 20 08 CAI Topical Session Organization The IFIP Topical Session on Computer-Aided Innovation (CAI) is a co-located conference organized under the auspices of the IFIP World Computer Congress (WCC) 2008 in Milano, Italy Gaetano Cascini CAI Program Committee Chair gaetano.cascini@unifi.it

This volume constitutes the refereed proceedings of the 4th IFIP WG 5.4. Working Conference on Computer- Aided Innovation, CAI 2011, held in Strasbourg, France, in June/July 2011. The 14 revised papers presented were carefully reviewed and selected from numerous submissions. They cover a broad range of topics from basic research to industrial applications of computer-aided innovation systems.

Computer Aided Innovation (CAI) is a young domain, the goal of which is to support enterprises throughout the complete innovation process. This comprehensive book presents the most up-to-date research on CAI. It addresses the main motivations of the industrial sector regarding the engineering innovation activity with computer tools and methods. The book also discusses organizational, technological and cognitive aspects of the application of CAI methods and tools.

This volume constitutes the refereed proceedings of the Third IFIP WG 5.4. Working Conference on Computer Aided Innovation, CAI 2009, held in Harbin, China, in August 2009. The papers deal with advanced approaches in education and training; data mining; text mining; semantic Web; optimization and innovation, shape and topology generators; design automation; integration of CAI methods and tools into engineering; innovation process and engineering information pipeline; innovation in collaborative networks of enterprises; professional virtual communities as well as engineering design.

This book constitutes the proceedings of the 23rd International TRIZ Future Conference on Towards AI-Aided Invention and Innovation, TFC 2023, which was held in Offenburg, Germany, during September 12–14, 2023. The event was sponsored by IFIP WG 5.4. The 43 full papers presented in this book were carefully reviewed and selected from 80 submissions. The papers are divided into the following topical sections: AI and TRIZ; sustainable development; general vision of TRIZ; TRIZ impact in society; and TRIZ case studies.

This book constitutes the refereed proceedings of the 11th Joint Conference on Knowledge-Based Software-Engineering, JCKBSE 2014, held in Volgograd, Russia, in September 2014. The 59 full and 3 short papers presented were carefully reviewed and selected from 197 submissions. The papers are organized in topical sections on methodology and tools for knowledge discovery and data mining; methods and tools for software engineering education; knowledge technologies for semantic web and ontology engineering; knowledge-based methods and tools for testing, verification and validation, maintenance and evolution; natural language processing, image analysis and recognition; knowledge-based methods and applications in information security, robotics and navigation; decision support methods for software engineering; architecture of knowledge-based systems, including intelligent agents and softbots; automating software design and synthesis; knowledge management for business processes, workflows and enterprise modeling; knowledge-based methods and applications in bioscience, medicine and justice; knowledge-based requirements engineering, domain analysis and modeling; intelligent user interfaces and human-machine interaction; lean software engineering; program understanding, programming knowledge, modeling programs and programmers.

In today’s fast-moving, high-technology environment, the focus on quality has given way to a focus on innovation. From presidents of the United States to presidents of Fortune 500 companies, it is clear that everyone thinks innovation is extremely important. The challenge is that few people stop to define why innovation is important—to understand what’s driving the need for more innovation. We all agree that more frequent innovation is important, even necessary. There is actually a growing body of evidence that indicates that looking outside of your company (rather than purely looking internally) and to customers’ needs, using the tools in this Handbook, will lead to more innovative ideas. Responding to customers’ needs is the key to a successful business. You can use these tools to talk to customers—satisfied ones, unsatisfied ones, potential customers, people who would never buy your product or service, and also people you have never considered as a potential customer. In addition, these tools will help you ask your competitors’ customers about what makes them happy with the current businesses and offerings in the industry, why they buy or do not buy from you, your competitors, and other industries. These tools will help you understand the steps in the customer journey they need to take, what delights and frustrates them, and what their pain points are. The three volumes of The Innovation Tools Handbook cover 76 top-rated tools and methods, from the hundreds available, that every innovator must master to be successful. Covering evolutionary and/or improvement innovative tools and methodologies, Volume 2 presents 23 tools/methodologies related to innovative evolutionary products, processes, and services, or the improvement of existing ones. For each tool, the book provides a definition, identifies the user of the tool, explains what phases of the innovation process the tool is used, describes how the tool is used, supplies examples of the outputs from the tool, identifies software that can maximize its effectiveness, and includes references and suggestions for further reading. Ideation is about developing ideas on how to seize identified opportunities. What are the possible answers to your breakthrough questions? Having a deep understanding about the customer, their needs and pain points, as well as the existing solutions (i.e. business models in the industry) will naturally lead to new ideas. How seriously you do your discovery homework using the tools in these Handbooks will determine not only how fast you create ideas, but about how likely these ideas are to succeed. Tools and methodologies covered include: 5 why questions, Affinity diagrams, attribute listing, brainwriting 6–3–5, cause-and-effect diagrams, creative problem solving model, design for tools, flowcharting, force field analysis, Kano analysis, nominal group technique, plan–do–check–act, reengineering/redesign, reverse engineering, robust design, SCAMPER, simulations, six thinking hats, social networks, solution analysis diagrams, statistical analysis, tree diagram, and value analysis. The authors believe that by making effective use of the tools and methodologies presented in this book, your organization can increase the percentage of creative/innovative ideas by five to eight times its present performance level.

With the advent of disruptive digital technologies, companies are facing unprecedented challenges and opportunities. Advanced manufacturing systems are of paramount importance in making key enabling technologies and new products more competitive, affordable, and accessible, as well as for fostering their economic and social impact. The manufacturing industry also serves as an innovator for sustainability since automation coupled with advanced manufacturing technologies have helped manufacturing practices transition into the circular economy. To that end, this Special Issue of the journal Applied Sciences, devoted to the broad field of Smart Sustainable Manufacturing Systems, explores recent research into the concepts, methods, tools, and applications for smart sustainable manufacturing, in order to advance and promote the development of modern and intelligent manufacturing systems. In light of the above, this Special Issue is a collection of the latest research on relevant topics and addresses the current challenging issues associated with the introduction of smart sustainable manufacturing systems. Various topics have been addressed in this Special Issue, which focuses on the design of sustainable production systems and factories; industrial big data analytics and cyberphysical systems; intelligent maintenance approaches and technologies for increased operating life of production systems; zero-defect manufacturing strategies, tools and methods towards online production management; and connected smart factories.

The work presented here is generally intended for engineers, educators at all levels, industrialists, managers, researchers and political representatives. Offering a snapshot of various types of research conducted within the field of TRIZ in France, it represents a unique resource. ​It has been two decades since the TRIZ theory originating in Russia spread across the world. Every continent adopted it in a different manner – sometimes by glorifying its potential and its perspectives (the American way); sometimes by viewing it with mistrust and suspicion (the European way); and sometimes by adopting it as-is, without questioning it further (the Asian way). However, none of these models of adoption truly succeeded. Today, an assessment of TRIZ practices in education, industry and research is necessary. TRIZ has expanded to many different scientific disciplines and has allowed young researchers to reexamine the state of research in their field. To this end, a call was sent out to all known francophone research laboratories producing regular research about TRIZ. Eleven of them agreed to send one or more of their postdoctoral researchers to present their work during a seminar, regardless of the maturity or completeness of their efforts. It was followed by this book project, presenting one chapter for every current thesis in order to reveal the breadth, the richness and the perspectives that research about the TRIZ theory could offer our society. The topics dealt with e.g. the development of new methods inspired by TRIZ, educational practices, and measuring team impact.

This volume contains the edited technical presentations of PROLMAT 2006, the IFIP TC5 international conference held on June 15-17, 2006 at the Shanghai University in China. The papers collected here concentrate on knowledge strategies in Product Life Cycle and bring together researchers and industrialists with the objective of reaching a mutual understanding of the scientific - industry dichotomy, while facilitating the transfer of core research knowledge to core industrial competencies.