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Cavallucci Cavallucci Presentation Transcript

  • 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 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 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 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 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 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 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 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 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
  • A1: A1 Methods & Tools for Inventive Design
  • 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 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 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 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 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
  • Industrial I d ti l p partnershipp for research and experimentation
  • 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 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 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 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.
  • Teaching T hi g new practices p in universities and beyond
  • 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 1 2 3 4 25 Teaching new practices to engineers www inventive design net
  • 24 1 2 3 4 25 Teaching new practices to engineers Education Case studies in which TRIZAcquisition has already been used (90)
  • 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 – ) 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.