Cavallucci

Verso un'evoluzione delle pratiche di design in ricerca e sviluppo:

Denis Cavallucci

gli apporti di TRIZ

Introduction to innovation problematic1

Presentazione Area Science Park – Udine - Lulio 1 2010

How to contribute to R&D practices evolution ?

Industrial partnership and case studies

2

3 Industrial partnership and case studies

Teaching TRIZ to young generations

3

4

It' Ti T R thi k Q lit I t P

Brief description of the problematic 1 2 3 4 225

It's Time To Rethink Quality-Improvement ProgramsErin White, The Wall Street Journal

GE executives don't believe Six Sigma hinders innovationInterview of Gary Reiner, senior vice president GE

6Sigma and other process management techniques hindered the process of innovation in knowledge based environmentsthe process of innovation in knowledge-based environments.

Cenek Report, Uncommon Commentary on the World of Work

I think General Electric has reached the limits of Six Sigmaand that it is now time for Creative Management.

Interview of Jeff Immelt CEO of General ElectricInterview of Jeff Immelt, CEO of General Electric

H ti f it hHas time came for a switchoverbetween quality and innovation eras ?

Brief description of the problematic 1 2 3 4 325

• Lack of robust « problemformulation » stage

• Lack of systematic and repeatable idea generationphase

[Ref : Bengt Järrehult «The end of the Funnel » in IM actionnable Knowledge – Pages 1-9]

Les ères industrielles et les difficultés qu’elles imposent1930 1970 1990

Initial situation - Introduction1 2 3 4 425

q p

QualityInnovation

f wor

ries

Productivity

Sum

of

A i t d d B titi O i i ti•Answering to demand•Organize workshops •Improve productivity rates

•Be competitive•Ensure quality•Optimize organization

•Organize innovation•Manage knowledge•Anticipate product/system’s evolutions

Theories & society1 2 3 4 525

LawSocietal acceptation rate

Norm

Methods, tools(mass application)

Methods, tools(tests & industrial evaluations)

HeresyThéories Methods, tools

(tests & theoretical elaborations)

Time

Teories and industrial world1 2 3 4 625

Sum of worries

Readyness to observe new « ways » of doing things

Readyness to

End of existingsolution’s capacity to solve problems

perform sometests

Adoption

Significant losses

p

B f h d i f

Significant lossesJob creation, services, postions

TotalBefore-hand signs of losses

Total control

Time

Anticiper les attentes industrielles et sociétales1 2 3 4 725

LawIndustrial challenges regarding methods

How to react in anticipation of a more than probable norm on Innovation ?

Readyness to observe new « ways » of doing things

Readyness to

p

How to create a new way of designingEnd of existingsolution’s capacity to solve problems

perform sometests

Adoption

NormEpuisement des solutions connues

way of designingsufficiently robust to

be adopted by entreprises ?

Significant losses

pMethods, tools

(mass application)

Pertes significatives

entreprises ?

How to favor mass

B f h d i f

Significant lossesJob creation, services, postions

Total

Methods, tools(tests & industrial evaluations)

Pertes significativesapplication of new

practices associated to Innovation ?

Before-hand signs of losses

Total control

HeresyThéories Methods, tools

(tests & theoretical elaborations)

TimeInnovation Quality

A brief overview of our research topicsBrief description of the problematic 1 2 3 4 8

25

pWithin LICIA (Engineering Design & Artificial Intelligence) - (A research Team of LGéCo)

Laboratoire de GÉnie de la Conception (LGÉCO) Design Engineering Laboratory40 researchers : (7 Full Prof. – 25 Ass. Prof. – 8 teachers – 22 PhDs – 7 Administrative staff.)( )

•Expert questioning for Kn elicitation•Patent/Text mining for Inventive Design•Kn management heuristics for R&D decisions

•State of the art and limits of current tools•Theoretical developments of new approaches•Software prototype development•Kn management heuristics for R&D decisions

A2: Knowledge use A1: Methods & Tools

•Software prototype development

gfor Inventive Design for Inventive DesignInventive

DesignA3: Metrics of R&D team’s Inventiveness

•Limits of current measurements relevance

Design

•Limits of current measurements relevance •Building of new metrics systems and indicators•Contributing to future norms appearance related to Innovation

Rétrospective des recherches passées1 2 3 4 925

Routine Design & Inventive Design : Opposition or synergy ?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 byWhat can be best obtained by optimizing existing data’s

Going beyond what is obtained by optimizing existing data’s

Accept compromize as a potential solution

Refuse compromize as a possible solution

E : Company’s Design Method

Va: Routine

Vā: Inventively

AP : Structure

Routine oriented

Inventivelyoriented

EP1: RiskEP1: Risk

EP2: Competitiveadvandage

A1A1:Methods & Tools

for Inventivefor Inventive DesignDesign

A1 : Methods & Tools for Inventive Design1 2 3 4 1125

Whi h it ti k it i i t t

Several questionning• Which situations make it inappropriate to use

existing tools and methods?

• Which new approaches, declinedmethodologically can help R&D practices in anera governed by innovation?

• Which tools can support these new practices?Which tools can support these new practices?

A1 : Methods & Tools for Inventive Design1 2 3 4 1225

What projects are being implemented:

• State of the art of design approaches andhighlighting their limitshighlighting their limits

• A methodological approach and a proposed• A methodological approach and a proposedframework to conduct design activities an inventivewayway

• Formalizing a tool to support inventive designpractices.

Our Inventive Design Method’s major stages1 2 3 4

Overview of Inventive Design Method Major Stages

1325

From fuzzy, complex, multi-disciplinary empirical experiencesFrom fuzzy, complex, multi-disciplinary empirical experiences

g j g

Stage 1 : Problem graph constitution

Known ProBlems & Partial Solutions, cause & effect links between PB & PS

Stage 2 : Contradiction form lation

links between PB & PS

Synthesized Solution Concepts after the use offormulation

Stage 3 : SolutionKey contradictions components

Concepts after the use of TRIZ Techniques

Stage 3 : Solution Concepts generation

Key contradictions components (Action Parameters, Evaluating Parameters, Elements, Values)

Stage 4 : Solution Concepts selection

To high impact, inventive, solution concepts in which company is ready to invest for further developmentsTo high impact, inventive, solution concepts in which company is ready to invest for further developments

?

Macro representation of an Inventive Design study1 2 3 4 1425

Stage 1Initial Situation

Analysis

Investigate knowledge related to thestudy and transpose it in a graphicalmodel exploitable using Graph Theory.

?

y

Further detail core problem in aclassified set of contradictions.

Stage 2Problems Mapping

• Polycontradictions formulation• Contradictions extraction• Classification of importance of

contradictions in accordance with a

Use TRIZ techniques and tools toSt 3

contradictions in accordance with aspecific scenario.

EP2EP1

AP1Va VāTC1.1

Use TRIZ techniques and tools togenerate a limited number of solutionconcepts while keeping track of theirorigin within the follow-up of the study.

Stage 3Solutions Concepts

Synthesis

Stage 4Feedback between

Evaluate the hypothetical impact of eachSolution Concept within the generalFeedback between

Solution Concepts and Initial Situation

Solution Concept within the generalproblematic and priorize which ones willbe subjected to further developments.

Stage 1 Stage 3 Stage 4

TRIZAcquisition V3.7 structure1 2 3 4 1525

Stage 1Initial Situation

Analysis

Stage 2Problems Mapping

Stage 3Solutions Concepts

Synthesis

Feedback between Solution Concepts and Initial Situation

Formulation & Detailed Problem window

Initial Situation window (grapher module)

Modeling & Model of the Problem window

Resolution & Model of Solution window

Interpretation window

Solution Concept windowSolution Concept window

Construction & Detailed Solution window

I d t i lIndustrialpartnershipp p

for research andfor research and experimentationexperimentation

From Research to Industry : The TRIZ Consortium1 2 3 4 1725

1/3

1/3

1/3

Hi h d

11/3

Funding for softwareContinuous

annealing line (WP2)

High speed train problem

(WP2)3 weeks

Funding for software building (WP2)

( )trainning of

experts (WP4)

Continuous annealing line problemsIndustrial case studies


Industrial case studies treated using

TRIZAcquisition

Crash retentionin High speed trains

q

Vicinity of the SEN: Formation of the

Mold slag layer

-slag infiltration along the nozzle by capillarity effect-Presence of gas bubbles

Formation of the solidified hook,

thermal effects: slag viscosity, thermal

conductivity, crystallization ytemperature

Entrainment of liquid slag in the liquid steel pool: slag viscosity,

t l fl l it

Solidified shell: entrapment of

steel flow velocity inclusions by the solidification front

Slivers Defects in steel casting

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 statement through a problem graph

and known partial solutions

Problem Statement phase

Data’s gathering and Contradiction

analysis

Phase consisting in analyzing Solution Concepts and choosing a reduced set of them for further

calculations based on the Problem

Phase consisting in entering into the detailed

analysisContradictions treatment Solution

calculations based on the Problem network shrinkage they provoke

Phase consisting in entering into the detailed problem description through a key problem and disclosing all its related contradictions

Calculations &

Concepts analysis

Phase consisting in engaging several contradictions (the most relevant ones) into a solving phase using TRIZ techniques Solution

Phase consisting in engaging R&D means to characterize

t h l i ll d lit ti l

validations of the chosen solutionsolving phase using TRIZ techniques. Solution

concepts are drawn in this phase.technologically and qualitatively the solution concept’s feasibility

solution Concepts


This stage results in a « classicalRoutine Design stage » after aRoutine Design stage » after a senior’s project internshipconsisting in dimentionning, calculating and drawing thecalculating and drawing the Solution Concept.

T hiTeachinggnew practices pin universitiesin universities

and beyondand beyond

Teaching new practices to engineers1 2 3 4 2225

In universities Life long learning

Fifth year in F0 : hear about

g

mechanical dept. F2 : introductionF3 : hands onModule CE5 F3 : hands on

F10 : mastering TRIZ 14h theory

+(classical way)

AMID (11 weeks) : Mastering I ti D i P ti f 14h hands on Inventive Design Practices for

strengthening corporate innovation strategies

(Advanced Master in Innovative Design(7th promotion)

www inventive design net


www.inventive-design.net

Education Case studies in


which TRIZAcquisition has already been used (90)

DiscussionsDiscussions & Conclusions1 2 3 4 25

25

DiscussionsLimits :

• Time of problem statement, data gathering(still not conventional in enterprises)

• Breakthrough projects are still marginal in enterprisesBreakthrough 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• 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 circleof users/funding entities.

Cavallucci

Technology

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