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Computer Aided Inovation

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ΕΞΕΛΙΞΗ ΠΛΗΡΟΦΟΡΙΑΚΩΝ ΤΣΗΜΑΣΩΝ ΣΗ ΔΙΑΧΕΙΡΗΗ

ΚΑΙΝΟΣΟΜΙΑ

Computer Aided Innovation (CAI)

Innovation

• Social phenomenon through which individuals express their creativity

• Key to improve global competitiveness • Technological change strongly influences

economic growth • Researchers tried to formulate a method or an

algorithm that would make the innovation process more focused, efficient and even automated

• Several methods and tools that help innovation process

Computer Aided Innovation (CAI)

• Software tools that can be used to create an innovation

• There are no software tools that can replace thinking skills and abstract thinking

• TRIZ software tools – Provide vast collection of TRIZ concepts, techniques

and examples, and problem modeling means

– Tools for problem formulation, problem and system analysis, and databases with all the TRIZ principles and TRIZ components

TRIZ (The Theory of Inventive Problem Solving)

• Altshuller united the way that innovations are created (after researching over 400,000 patents)

• He came to the conclusion that the processes to solve different problems from diverse technological fields follow certain common basic rules -> 40 inventive principles and are used for solving inventive problems

• belief: “someone else has already solved a similar problem to yours”

Παρουσίαση των εξής…

• TrendPerceptor: A property-function based technology intelligence system for identifying technology trends from patents

• “Open CAI 2.0” – Computer Aided Innovation in the era of open innovation and Web 2.0

• A new comprehensive patent analysis approach for new product design in Mechanical Engineering

TrendPerceptor: A property-function based technology intelligence system for identifying technology trends from

patents

TrendPerceptor (1)

• Research and Development

• Technology Intelligence

• Technology Intelligence tools

– Advantages

– TRIZ

• TRIZ trend analysis

• TRIZ trends

• TRIZ experts

TrendPerceptor (2)

• Content analysis of technical documents

– Keyword or Key Phrase Patterns be defined in advance

– Relies heavily on the knowledge of experts

– Effort & Time should not be consumed in gathering processes

– Eliminate these dependencies: TrendPerceptor

TrendPerceptor (3)

• TrendPerceptor assist experts:

– Identify trends in invention concepts from patents

– Perform evolution trend analysis of patents for technology forecasting

• Properties & Functions

– Grammatical analysis (NPL)

– Network analysis (Network composed of the identified Properties & Functions)

– TRIZ trend analysis (predict further improvements)

• Final Output: Evolutionary potential radar plots

“Open CAI 2.0” – Computer Aided Innovation in the era of open

innovation and Web 2.0

Open CAI 2.0 (1)

• CAI-tools: Were and are primary focused on EDI (Employee – Driven – Innovation) and closed innovation

• Next evolutionary step of CAI especially used for the early stages of NPD (New Product Development) -> Open CAI 2.0 based on Web 2.0 technologies

Open CAI 2.0 (2)

• Technological point of view:

– Web 2.0 opens the access to CAI to a larger audience of non-professional and untrained users

• Strategic point of view:

– Shifted from closed innovation and EDI to new open innovation. Interact with people and organizations outside the company

• Lead to the growth of intermediaries called Open Innovation Accelerators (OIAs)

Open CAI 2.0 (3)

• Open Innovation paradigm as strategic driver

– Cooperation with: universities, start-ups, suppliers, spin-offs and competitors.

– Companies should use external ideas as well as those from their own R&D departments and both internal & external paths like spin-offs or licenses to the market, in order to advance their technology.

– Plentiful external information for the innovation process from customers, suppliers, competitors, university labs, research institutions, patent agents, technology consultants, media, conference organizers.

Open CAI 2.0 (4)

• Web 2.0 as technological driver

– Cloud Computing

– Desktop-like usability (RSS, XML, JavaScript)

– Interactivity (RSS)

– Semantic Web (Tags)

Open CAI 2.0 (5)

• Open Innovation Accelerators (OIAs) as new intermediaries

– OIASs defined as providers of platforms that offer companies the possibility to innovate in co-operation with external actors from the periphery

A new comprehensive patent analysis approach for new product design in

Mechanical Engineering

NCPA (1)

• Without Patent Analysis…

• Patent Analysis

– Time-Consuming task in R&D management

– Focus on key patents

• Patent Family & Patent Citations

– Business intelligence, technology management, strategy

NCPA (2)

• Patent family & patent citations enhance NPD

• Patent Analysis Model called: New Comprehensive Patent Analysis process (NPCA)

– Integrate patent family and patent citations in NPD

– 5 Phases

NCPA (3)

• Patent Family (concept of priority): is a group of related patent publications (including applications and granted patents) describing the same invention

• Patent Citation (concept of patent intelligence): serve as an information exchange between sciences and technologies

NCPA (4) • New Comprehensive Patent Analysis process (NPCA)

– 1. Selects an appropriate patent database after carrying out an industry analysis and expert interviews

– 2. Selects industrial basic patents and creates a patent family

– 3. Filters the members of a patent family to obtain the most representative patents, and focuses product design on these key patents

– 4. Employs a patent citation to trace back to the relevant technical information of “key patents” for the purpose of product development design

– 5. Uses the TRIZ theory to analyze technological perform-ance of patents and constructs technological performance maps of patents for product development design

Για μελλοντική μελέτη

• Forecasting the design of eco-products by integrating TRIZ evolution patterns with CBR and Simple LCA methods

• Inventive problem solving based on dialectical negation, using evolutionary algorithms and TRIZ heuristics

• Fostering continuous innovation in design with an integrated knowledge management approach

Forecasting the design of eco-products by integrating TRIZ evolution patterns with CBR and Simple LCA

methods

• Products that impact the environment minimally to ensure sustainable living

• Forecasting model to acquire innovative ideas more easily to design eco products, followed by evaluation of weather the new design is more effective than currently available ones – Solve design problems by using Evolution patterns of TRIZ – The ability to generate new ideas is accelerated based on

Case based Reasoning (CBR) – Whether a new design is better than currently available

ones is evaluated using simple life cycle assessment (Simple LCA) method.

Inventive problem solving based on dialectical negation, using evolutionary algorithms and TRIZ

heuristics

• TRIZ and Evolutionary Algorithms (EA) both support innovation process

• Strategy based on dialectical negation in which both approaches converge, creating a new conceptual framework for enhancing CAI innovation problem solving

• Two basic ideas create the Dialectical Negation Algorithm (DNA): – Inversion of the traditional EA selection – Incorporation of new dialectical negation operators in

EA algorithms based on TRIZ principles

Fostering continuous innovation in design with an integrated knowledge management

approach

• The trend to produce more new knowledge-intensive products or services and the rapid progress of information technologies arouse huge interest on knowledge management for innovation

• The strategy of knowledge management is not widely adopted for innovation in industries

• Help the designers to innovate more efficiently based on an integrated approach of knowledge management

• A prototype of distributed knowledge management system for innovation is developed

References • TrendPerceptor: A property-function based technology intelligence

system for identifying technology trends from patents, by Janghyeok Yoon, Kwangsoo Kim, online available from http://www.scopus.com/inward/record.url?eid=2-s2.0-80255131340&partnerID=40&md5=d4faff0e609f27db86b647b5822ddf73

• ‘‘Open CAI 2.0’’ – Computer Aided Innovation in the era of open innovation and Web 2.0, by Stefan Husig, Stefan Kohn, online available from http://www.scopus.com/inward/record.url?eid=2-s2.0-79953721651&partnerID=40&md5=c141721d22d3a0cc565c62bdfea90f05

• A New Comprehensive Patent Analysis Approach for New Product Design in Mechanical Engineering, by Kuang OuYang, Calvin S. Weng, online available from http://www.scopus.com/inward/record.url?eid=2-s2.0-80051597312&partnerID=40&md5=e747ed5de27524270e61797dc7c5d37e

• Forecasting the design of eco-products by integrating TRIZ evolution patterns with CBR and Simple LCA methods, by Cheng Jung Yang, Jahau Lewis Chen, online available from http://www.scopus.com/inward/record.url?eid=2-s2.0-80255131392&partnerID=40&md5=70b48187a6b30078e0cb86294e770bd5

• Inventive problem solving based on dialectical negation, using evolutionary algorithms and TRIZ heuristics, by Roberto Duran-Novoa, Noel Leon-Rovira, Humberto Aguayo-Tellez, David Said, online available from http://www.scopus.com/inward/record.url?eid=2-s2.0-79953703982&partnerID=40&md5=36c9cf84a19ca9c4209723ea06d9adc8

References • Fostering continuous innovation in design with an integrated knowledge

management approach, by Jing Xu, Remy Houssin, Emannuel Caillaud, Mickael Gardoni

• Use of formal ontologies as a foundation for inventive design studies, by Cecilia Zanni-Merk, Denis Cavallucci, Francois Rousselot, online available from http://www.scopus.com/inward/record.url?eid=2-s2.0-79952445055&partnerID=40&md5=b7b97a83f15da2b252370c1eadde40e7

• A research agenda for computing developments associated with innovation pipelines, by Denis Cavallucci, online available from http://www.scopus.com/inward/record.url?eid=2-s2.0-79953688537&partnerID=40&md5=ad6e8adc9a9a7533247657a8813fd29c

• A Product Design Approach by Integrating Axiomatic Design and TRIZ, by Shiaw-Tsyr Uang, Cheng-Li Liu, Mali Chang, online available from http://www.scopus.com/inward/record.url?eid=2-s2.0-79960508428&partnerID=40&md5=154fcc45441bfb8e0c176a47ae63ea49

• Matching of Different Abstraction Level Knowledge Sources: The Case of Inventive Design, by Wei Yan, Cecilia Zanni-Merk, François Rousselot, online available from http://www.scopus.com/inward/record.url?eid=2-s2.0-80053139382&partnerID=40&md5=acf2e533b97398e0885ded10757e5dba

• An automated method for identifying TRIZ evolution trends from patents, by Janghyeok Yoon, Kwangsoo Kim, online available from http://www.scopus.com/inward/record.url?eid=2-s2.0-80052037906&partnerID=40&md5=fad670af211843f46b548eb475620985

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