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εξελιξη πληροφοριακων συστηματων στη διαχειρiση...

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Computer Aided Inovation
26
ΕΞΕΛΙΞΗ ΠΛΗΡΟΦΟΡΙΑΚΩΝ ΤΣΗΜΑΣΩΝ ΣΗ ΔΙΑΧΕΙΡΗΗ ΚΑΙΝΟΣΟΜΙΑ Computer Aided Innovation (CAI)
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Page 1: εξελιξη πληροφοριακων συστηματων στη διαχειρiση καινοτομιας

ΕΞΕΛΙΞΗ ΠΛΗΡΟΦΟΡΙΑΚΩΝ ΤΣΗΜΑΣΩΝ ΣΗ ΔΙΑΧΕΙΡΗΗ

ΚΑΙΝΟΣΟΜΙΑ

Computer Aided Innovation (CAI)

Page 2: εξελιξη πληροφοριακων συστηματων στη διαχειρiση καινοτομιας

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

Page 3: εξελιξη πληροφοριακων συστηματων στη διαχειρiση καινοτομιας

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

Page 4: εξελιξη πληροφοριακων συστηματων στη διαχειρiση καινοτομιας

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”

Page 5: εξελιξη πληροφοριακων συστηματων στη διαχειρiση καινοτομιας

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

Page 6: εξελιξη πληροφοριακων συστηματων στη διαχειρiση καινοτομιας

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

patents

Page 7: εξελιξη πληροφοριακων συστηματων στη διαχειρiση καινοτομιας

TrendPerceptor (1)

• Research and Development

• Technology Intelligence

• Technology Intelligence tools

– Advantages

– TRIZ

• TRIZ trend analysis

• TRIZ trends

• TRIZ experts

Page 8: εξελιξη πληροφοριακων συστηματων στη διαχειρiση καινοτομιας

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

Page 9: εξελιξη πληροφοριακων συστηματων στη διαχειρiση καινοτομιας

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

Page 10: εξελιξη πληροφοριακων συστηματων στη διαχειρiση καινοτομιας

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

innovation and Web 2.0

Page 11: εξελιξη πληροφοριακων συστηματων στη διαχειρiση καινοτομιας

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

Page 12: εξελιξη πληροφοριακων συστηματων στη διαχειρiση καινοτομιας

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)

Page 13: εξελιξη πληροφοριακων συστηματων στη διαχειρiση καινοτομιας

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.

Page 14: εξελιξη πληροφοριακων συστηματων στη διαχειρiση καινοτομιας

Open CAI 2.0 (4)

• Web 2.0 as technological driver

– Cloud Computing

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

– Interactivity (RSS)

– Semantic Web (Tags)

Page 15: εξελιξη πληροφοριακων συστηματων στη διαχειρiση καινοτομιας

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

Page 16: εξελιξη πληροφοριακων συστηματων στη διαχειρiση καινοτομιας

A new comprehensive patent analysis approach for new product design in

Mechanical Engineering

Page 17: εξελιξη πληροφοριακων συστηματων στη διαχειρiση καινοτομιας

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

Page 18: εξελιξη πληροφοριακων συστηματων στη διαχειρiση καινοτομιας

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

Page 19: εξελιξη πληροφοριακων συστηματων στη διαχειρiση καινοτομιας

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

Page 20: εξελιξη πληροφοριακων συστηματων στη διαχειρiση καινοτομιας

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

Page 21: εξελιξη πληροφοριακων συστηματων στη διαχειρiση καινοτομιας

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

Page 22: εξελιξη πληροφοριακων συστηματων στη διαχειρiση καινοτομιας

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.

Page 23: εξελιξη πληροφοριακων συστηματων στη διαχειρiση καινοτομιας

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

Page 24: εξελιξη πληροφοριακων συστηματων στη διαχειρiση καινοτομιας

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

Page 25: εξελιξη πληροφοριακων συστηματων στη διαχειρiση καινοτομιας

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

Page 26: εξελιξη πληροφοριακων συστηματων στη διαχειρiση καινοτομιας

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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