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Set-Based Prototyping

24 March 2008. Set-Based Prototyping. Ashwin Michaelraj Graduate Research Assistant Mechanical Engineering Department Clemson University amichae@clemson.edu Dr. Joshua D. Summers Assistant Professor Mechanical Engineering Department Clemson University joshua.summers@ces.clemson.edu.

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Set-Based Prototyping

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  1. 24 March 2008 Set-Based Prototyping Ashwin Michaelraj Graduate Research Assistant Mechanical Engineering Department Clemson University amichae@clemson.edu Dr. Joshua D. Summers Assistant Professor Mechanical Engineering Department Clemson University joshua.summers@ces.clemson.edu

  2. Outline • Prototype • Definition • Conventional Prototyping practice • Advantages & Limitations • Introduction to Set-Based Prototyping • Working principle / ‘Set-Based’ principle • Need for ‘Set-Based Prototyping’ • Intended use • Requirements for a SBP Tool • Identifying factors and characteristics that influence prototype selection • Prototype design space • SBP tool architecture • Experiments to validate SBP Tool • Student project trials • Web trials • Thesis time line • Work completed • Future work http://aid.ces.clemson.edu amichae@clemson.edu

  3. Prototype • Definition • A prototype is a physical instantiation of a product, meant to be used to help resolve one or more issues during the product development [1, 2] • Other definitions include • Test-beds which enable designers to test their design [3] • An artifact or model (physical or virtual) which acts as a catalyst for further development and evolution [1] Physical Prototype Virtual Prototype http://aid.ces.clemson.edu amichae@clemson.edu

  4. Conventional Prototyping Practice • Three major reasons for multiple prototyping iterations in the design process • - Customer dissatisfaction with the design • - Poor product performance during internal testing & external testing • - Poor selection of initial prototype/design [4] • Conventional prototyping practice follows a point-based approach during product development – which is selection of initial prototype and modifications to it. http://aid.ces.clemson.edu amichae@clemson.edu

  5. Advantages & Limitations • Advantages • Physical prototypes help detect unanticipated phenomena • Reduces the chances of failure of a product • May expedite other product development processes • Limitations • General • Physical prototypes are time consuming* when compared to virtual/analytical prototype • Flexibility offered by virtual/analytical prototypes in modifying design parameters is higher than the physical prototypes • Selection (Currently prototypes & prototyping techniques are selected based on intuition or experiential knowledge) • When to prototype during a design process? • Which prototype suits designer’s needs? * (depends on complexity of design) http://aid.ces.clemson.edu amichae@clemson.edu

  6. Introduction to Set-based Prototyping • ‘Set-based’ principle • Invented by Toyota Motor Corporation as a part of lean product design technique known as Set-Based Concurrent Engineering (SBCE) • Begins by considering ‘sets of possible solutions’ and then narrowing down the solutions by eliminating the weaker solutions [5] • Deductive approach (Set-based) rather than Inductive approach (Point-based) POINT-BASED APPROACH DESIGN SPACE SINGLE DESIGN OPTIMAL SOLUTION MODIFICATIONS SET-BASED APPROACH DESIGN A DESIGN SPACE ELIMINATE WEAK SOLUTIONS OPTIMAL SOLUTION OPTIMAL SOLUTION DESIGN B DESIGN C http://aid.ces.clemson.edu amichae@clemson.edu

  7. Need for set-based prototyping • Set-based prototyping approach offers following advantages over traditional point-based prototyping approach • Rate of convergence of a final solution is higher • Reduces the probability of starting all over again • Eliminates the need for multiple iteration of a prototype • Quality of solution obtained is higher • Though populating sets of solution from design space seems time consuming, in general it leads to reduction in overall product development cycle [5] • Intended use of set-based principle • Selection of prototypes during product development (which is currently based on intuition/experiential knowledge) • Develop a design tool which helps even a novice designer with a structured approach to prototype selection http://aid.ces.clemson.edu amichae@clemson.edu

  8. Requirements of a SBP Tool • Identifying factors and characteristics that influence prototype selection • Communication • Evaluation purpose • Cost • Design stage • Size • Type (Novel, Variant) • Material • Fabrication • Prototype design space • Classifying and naming prototypes based on these factors and characteristics (Taxonomy) • Querying system to extract information about the desired prototype from designer • Based on Mixed initiative/Conversational reasoning techniques • Confidence rating system • A statistical ranking system to identify which prototype serves the intended purpose(s) better • Say Prototype A – 75% Confidence level, Prototype B – 90% Confidence level etc http://aid.ces.clemson.edu amichae@clemson.edu

  9. SBP tool architecture QUERYING MODULE PROTOTYPE DESIGN SPACE PROTOTYPE DESIGN SPACE QUESTIONNAIRES MIXED INITIATIVE/ CONVERSATIONAL REASONING PROTOTYPE STATISTICAL DATA PROTOTYPER RATING MODULE DATABASE STATISTICAL CONFIDENCE MEASUREMENT http://aid.ces.clemson.edu amichae@clemson.edu

  10. Experiments to validate SBP Tool • Student project trials • ME 402 – Design projects – Fall 08 • Web Trial • Based on the feed back from student projects an online version of the tool will be made available to designers and academia • Thesis time line Naming Prototypes based on factors and characteristics Taxonomy Student and Web Trials SBP Tool Thesis Writing Thesis Defense Jan 08 Apr 08 July 08 Aug 08 Oct 08 Dec 08 http://aid.ces.clemson.edu amichae@clemson.edu

  11. References • Otto K. N., and Wood K. L., 2001, Product design: Techniques in reverse engineering and new product development, Prentice-Hall, Inc. New Jersey, USA. • Ulrich K. T., and Eppinger S. D., 2000, Product design and development, McGraw-Hill, Inc, USA. • Wall M. B., Ulrich K. T., and Flowers W. C., 1992, “Evaluating Prototyping Technologies for product design”, Journal of Research in Engineering Design 3(3), Springer International, New York, USA, pp. 163-177. • Bhushan N., 2007, “Set-based concurrent engineering (SBCE) and TRIZ – A framework for global product development”, Wipro Technologies, India. • Sobek D. K., Ward A. C., and Liker J. K., 1999, “Toyota’s principle of set-based concurrent engineering”, Sloan Management Review 40.2. http://aid.ces.clemson.edu amichae@clemson.edu

  12. QUESTIONS ??? http://aid.ces.clemson.edu amichae@clemson.edu

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