1) The document discusses evolving research and development practices through the contributions of TRIZ, a theory of inventive problem solving. 2) It outlines the stages of an inventive design method including problem formulation, contradiction analysis, and solution concept generation using TRIZ techniques. 3) Case studies with industrial partners apply the method to real problems in areas like high-speed trains and steel casting to evolve from research to industry applications of TRIZ.

1. Verso un'evoluzione delle pratiche di design in
ricerca e sviluppo:
gli apporti di TRIZ
Denis Cavallucci
Presentazione Area Science Park – Udine - Lulio 1 2010
1 Introduction to innovation problematic
2 How to contribute to R&D practices evolution ?
3 Industrial partnership and case studies
4 Teaching TRIZ to young generations

2. 2
1 2 3 4 25 Brief description of the problematic
It's Time To Rethink Q lit I
It' Ti T R thi k Quality-Improvement Programs
tP
Erin White, The Wall Street Journal
GE executives don't believe Six Sigma hinders innovation
Interview of Gary Reiner, senior vice president GE
6Sigma and other process management techniques hindered
the process of innovation in knowledge based environments
knowledge-based environments.
Cenek Report, Uncommon Commentary on the World of Work
I think General Electric has reached the limits of Six Sigma
and that it is now time for Creative Management.
Interview of Jeff Immelt CEO of General Electric
Immelt,
Has time came f a switchover
H ti for it h
between quality and innovation eras ?

3. 3
1 2 3 4 25 Brief description of the problematic
• Lack of robust « problem
formulation » stage
• Lack of systematic and
repeatable idea generation
phase
[Ref : Bengt Järrehult «The end of the Funnel » in IM actionnable Knowledge – Pages 1-9]

4. 4
1 2 3 4 25 Initial situation - Introduction
1930 ères industrielles et les difficultés qu’elles imposent
Les 1970 q1990 p
Innovation
Sum of worries
Quality
f
Productivity
•Answering t demand
A i to d d •Be competitive
B titi •Organize i
O i innovation
ti
•Organize workshops •Ensure quality •Manage knowledge
•Improve productivity rates •Optimize organization •Anticipate product/system’s evolutions

5. 5
1 2 3 4 25 Theories & society
Societal acceptation rate
Law
Norm
Methods, tools
(mass application)
Methods, tools
(tests & industrial evaluations)
Théories Methods, tools
Heresy (tests & theoretical elaborations)
Time

6. 6
1 2 3 4 25 Teories and industrial world
Sum of worries
Readyness to observe new
« ways » of doing things
Readyness to
perform some
End of existing tests
solution’s capacity to
Adoption
solve problems
p
Significant losses
Job creation,
services,
postions
Before-hand signs of
B f h d i f Total
losses control
Time

7. 7
1 2 3 4 25 Anticiper les attentes industrielles et sociétales
Industrial challenges regarding methods
How to react in anticipation of a more Law
than probable norm on Innovation ?
p
Readyness to observe new
« ways » of doing things
How to create a new
Readyness to
way of designing perform some
sufficiently robust to tests Norm
Epuisement des
End of existing
be adopted by
solutions capacity
solution’sconnues to
Adoption
solve problems ?
p
entreprises
Methods, tools
(mass application)
How to favor mass
Pertes significatives
Significant losses
application of new Job creation,
Methods, tools
practices associated to services,
(tests & industrial evaluations)
Innovation ? postions
Before-hand signs of
B f h d i f Total
losses Methods, tools control
Théories
Heresy (tests & theoretical elaborations)
Innovation Quality Time

8. 8
1 2 3 4 25 Brief description of the problematic
A brief overview of our research topics
p
Within LICIA (Engineering Design & Artificial Intelligence) - (A research Team of LGéCo)
Laboratoire de GÉnie de la Conception (LGÉCO) Design Engineering Laboratory
40 researchers : (7 Full Prof. – 25 Ass. Prof. – 8 teachers – 22 PhDs – 7 Administrative staff.)
( )
•Expert questioning for Kn elicitation •State of the art and limits of current tools
•Patent/Text mining for Inventive Design •Theoretical developments of new approaches
•Kn management heuristics for R&D decisions •Software prototype development
A2: Knowledge use
g A1: Methods & Tools
for Inventive Design for Inventive Design
Inventive
Design
A3: Metrics of R&D team’s Inventiveness
•Limits of current measurements relevance
•Building of new metrics systems and indicators
•Contributing to future norms appearance related to Innovation

9. 9
1 2 3 4 25 Rétrospective des recherches passées
Routine Design & Inventive Design : Opposition or synergy ?
Manage what is known Discover what is unknown
What can be best obtained by Going beyond what is obtained by
optimizing existing data’s optimizing existing data’s
Accept compromize as a potential Refuse compromize as a possible
solution solution
E : Company’s Design Method
AP : Structure
Va: Vā:
Routine Inventively
oriented oriented
EP1: Risk
EP2:
Competitive
advandage

10. A1:
A1
Methods & Tools
for Inventive
Design

11. 11
1 2 3 4 25 A1 : Methods & Tools for Inventive Design
Several questionning
• Whi h situations make it i
Which it ti k inappropriate t use
i t to
existing tools and methods?
• Which new approaches, declined
methodologically can help R&D practices in an
era governed by innovation?
• Which tools can support these new practices?

12. 12
1 2 3 4 25 A1 : Methods & Tools for Inventive Design
What projects are being implemented:
• State of the art of design approaches and
highlighting their limits
• A methodological approach and a proposed
framework to conduct design activities an inventive
way
• Formalizing a tool to support inventive design
practices.

13. 13
1 2 3 4 25 Our Inventive Design Method’s major stages
Overview of Inventive Design Method Major Stages
g j g
From fuzzy, complex, multi-
disciplinary empirical experiences
Stage 1 : Problem Known ProBlems & Partial
graph constitution Solutions, cause & effect
links between PB & PS
Stage 2 : Contradiction Synthesized Solution
formulation
form lation Concepts after the use of
TRIZ Techniques
Key contradictions components Stage 3 : Solution
(Action Parameters, Evaluating Concepts generation
Parameters, Elements, Values)
Stage 4 : Solution
Concepts selection
To high impact, inventive, solution concepts in which
company is ready to invest for further developments

14. 14
1 2 3 4 25 Macro representation of an Inventive Design study
Investigate knowledge related to the ?
Stage 1
Initial Situation study and transpose it in a graphical
model exploitable using Graph Theory.
Analysis
y
Further detail core problem in a
classified set of contradictions.
Stage 2 • Polycontradictions formulation
• Contradictions extraction
Problems Mapping
• Classification of importance of
contradictions in accordance with a
AP1
specific scenario. TC1.1
Va Vā
EP1
EP2
Stage 3
St Use TRIZ techniques and tools to
Solutions Concepts generate a limited number of solution
concepts while keeping track of their
Synthesis origin within the follow-up of the study.
Stage 4 Evaluate the hypothetical impact of each
Feedback between Solution Concept within the general
Solution Concepts problematic and priorize which ones will
and Initial Situation be subjected to further developments.

15. 15
1 2 3 4 25 TRIZAcquisition V3.7 structure
Stage 4
Stage 1 Stage 3
Stage 2 Feedback between
Initial Situation Solutions Concepts
Problems Mapping Solution Concepts
Analysis Synthesis
and Initial Situation
Initial Situation window (grapher module)
Formulation & Detailed Problem window
Modeling & Model of the Problem window
Resolution & Model of Solution window
Interpretation window
Solution Concept window
Construction & Detailed Solution window

16. Industrial
I d ti l
p
partnershipp
for research and
experimentation

17. 17
1 2 3 4 25 From Research to Industry : The TRIZ Consortium
1/3
1/3
1
1/3
Funding for software h speed
High
Hi d
Continuous building (WP2) train problem
annealing line
(WP2)
(
(WP2) ) 3 weeks
trainning of
experts (WP4)

18. 18
1 2 3 4 25 From Research to Industry : The TRIZ Consortium
Continuous annealing line problems
Industrial case studies
treated using
TRIZAcquisition
q
Crash retention
in High speed trains
Mold slag layer
Formation of the Vicinity of the SEN:
solidified hook, -slag infiltration
thermal effects: slag along the nozzle by
viscosity, thermal capillarity effect
conductivity, -Presence of gas
y
crystallization bubbles
temperature
Entrainment of liquid
Solidified shell: slag in the liquid steel
entrapment of pool: slag viscosity,
inclusions by the steel flow velocity
t l fl l it
solidification front
Slivers Defects in steel casting

19. 19
1 2 3 4 25 From Research to Industry : The TRIZ Consortium
Day 1 Day 2 Day 3 Day 4 Day 5 Day 6 Day 7 Day 8 Day 9 Day 10
Flexible schedule consisting in 10 sessions face to face and an equivalent amount of work “off
sessions” by both INSA study leader and Company team members (based on a complex case situation)
Phase consisting in drawing a problem
Problem Statement statement through a problem graph
phase and known partial solutions
Phase consisting in analyzing
Data’s gathering and Solution Concepts and choosing a
Contradiction reduced set of them for further
analysis calculations based on the Problem
calculations based on the Problem
Contradictions network shrinkage they provoke
treatment Solution
Phase consisting in entering into the detailed
Phase consisting in entering into the detailed
problem description through a key problem
Concepts
and disclosing all its related contradictions analysis
Calculations &
validations of
Phase consisting in engaging several Phase consisting in engaging R&D
contradictions (the most relevant ones) into a
the chosen
means to characterize
solving phase using TRIZ techniques. Solution
solving phase using TRIZ techniques Solution technologically and qualitatively
t h l i ll d lit ti l solution
solution
concepts are drawn in this phase. the solution concept’s feasibility Concepts

20. 20
1 2 3 4 25 From Research to Industry : The TRIZ Consortium
This stage results in a « classical
Routine Design stage » after a
senior’s project internship
consisting in dimentionning,
calculating and drawing the
Solution Concept.

21. Teaching
T hi g
new practices
p
in universities
and beyond

22. 22
1 2 3 4 25 Teaching new practices to engineers
Life long
In universities
learningg
Fifth year in F0 : hear about
mechanical dept. F2 : introduction
Module CE5 F3 : hands on
F10 : mastering TRIZ
14h theory (classical way)
+ AMID (11 weeks) : Mastering
14h hands on Inventive Design P
I ti D i Practices f
ti for
strengthening corporate
innovation strategies
(Advanced Master in Innovative Design
(7th promotion)

23. 23
1 2 3 4 25 Teaching new practices to engineers
www.inventive-design.net
www inventive design net

24. 24
1 2 3 4 25 Teaching new practices to engineers
Education Case studies in
which TRIZAcquisition has
already been used (90)

25. 25
1 2 3 4 25 Discussions & Conclusions
Limits :
Discussions
• Time of problem statement, data gathering
(still not conventional in enterprises)
• Breakthrough projects are still marginal in enterprises
(Claims about innovation are numerous but avoiding risks and cost reduction still
dominates industry)
• Engineers are marginally trained to TRIZ / Inventive Design
(See ETRIA report on TRIZ world-wide survey – www.etria.net )
Future development directions :
• Build a reliable and continuous partnership with a larger circle of users;
p p g ;
• Research: Assisting experts analyses with data mining procedures
(PatentCrawler);
• Continue to complete the functionalities through networking with a wider circle
of users/funding entities.