Computer Aided Inovation

1. ΕΞΕΛΙΞΗ ΠΛΗΡΟΦΟΡΙΑΚΩΝ
΢Τ΢ΣΗΜΑΣΩΝ ΢ΣΗ ΔΙΑΧΕΙΡΗ΢Η
ΚΑΙΝΟΣΟΜΙΑ΢
Computer Aided Innovation (CAI)

2. 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

3. 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

4. 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”

5. 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

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

7. TrendPerceptor (1)
• Research and Development
• Technology Intelligence
• Technology Intelligence tools
– Advantages
– TRIZ
• TRIZ trend analysis
• TRIZ trends
• TRIZ experts

8. 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

9. 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

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

11. 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

12. 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)

13. Open CAI 2.0 (3)
• Open Innovation paradigm as strategic driver
– Cooperation with: universities, start-ups, suppliers, spinoffs 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.

14. Open CAI 2.0 (4)
• Web 2.0 as technological driver
– Cloud Computing
– Desktop-like usability (RSS, XML, JavaScript)
– Interactivity (RSS)
– Semantic Web (Tags)

15. 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 cooperation with external actors from the periphery

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

17. 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

18. 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

19. 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

20. 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 performance of patents and constructs technological performance
maps of patents for product development design

21. 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

22. 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.

23. 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

24. 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

25. 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-s2.080255131340&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-s2.079953721651&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-s2.080051597312&partnerID=40&md5=e747ed5de27524270e61797dc7c5d37
e
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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-s2.080255131392&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-s2.079953703982&partnerID=40&md5=36c9cf84a19ca9c4209723ea06d9adc8

26. References
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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-s2.079952445055&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-s2.079953688537&partnerID=40&md5=ad6e8adc9a9a7533247657a8813fd29c
A Product Design Approach by Integrating Axiomatic Design and TRIZ, by ShiawTsyr Uang, Cheng-Li Liu, Mali Chang, online available from
http://www.scopus.com/inward/record.url?eid=2-s2.079960508428&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-s2.080053139382&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-s2.080052037906&partnerID=40&md5=fad670af211843f46b548eb475620985
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