AC 2012-3698: PROTOTYPING STRATEGIES: LITERATURE REVIEW AND IDENTIFICATION OF CRITICAL VARIABLES

Prototyping is an initial instantiation of a concept as part of the product development process. Prototypes serve numerous purposes both from a business and an engineering standpoint. Businesses use prototypes to gather detailed customer feedback on issues like aesthetics, ergonomics, and theme, as well as for marketing research and cost analysis. Prototyping is used by engineers to provide manufacturing and assembly data, to investigate system integration issues and to develop analysis and testing strategies. In some cases, prototyping is also used in the concept generation phase of the design process to assist designers to either expand or contract the set of possible concepts. Clearly prototyping is an important part of most design processes. We define the prototyping strategy as the set of decisions that dictate what actions will be taken to accomplish the development of the prototype(s). Prototyping strategies include a variety of different options. In the broadest sense, prototypes can be either physical or virtual. Virtual prototypes can include computer simulations and/or engineering analysis. Physical prototypes can be developed either for a subsystem or for the entire system. In addition, physical prototypes can be either full size or dimensionally scaled and can be either fully functional or be created to exhibit only partial functionality. Additional choices that are part of a prototyping strategy include whether one chooses to develop prototypes for a number of concepts in parallel and whether one plans to develop a sequence of prototypes of a concept. The choices made for the prototyping variables identified above can make tremendous differences in the time frame, cost and effectiveness of the prototyping work. However, very little research has been accomplished to identify how these variables should be chosen for a specific design project. In this paper we document an extensive literature review in the general area of prototyping. Prototyping strategies currently in use by a variety of different product developers are identified. When it is possible to identify either a business or engineering perspective, that perspective is noted. The wide variety of different prototyping strategies currently in use are identified and grouped into categories with similar characteristics. Specific differences in the prototyping strategies for business vs. engineering focused work are noted. Based on the literature review, the current state of the art for prototyping strategies is established. Of particular note is the fact that there is a dearth of information in the literature of how the decisions that determine a prototyping strategy are made. In light of this fact, an additional contribution of this paper is to hypothesize a set of characteristics of a design problem that can be used to optimize prototyping strategies.

[1]  David Robertson,et al.  Product development performance: Strategy, organization, and management in the world auto industry , 1992 .

[2]  Karl T. Ulrich,et al.  Product Design and Development , 1995 .

[3]  Christopher Tuck,et al.  Make or buy analysis for rapid manufacturing , 2007 .

[4]  Preston G. Smith The art of innovation: lessons in creativity from IDEO, America’s leading design firm: Tom Kelley with Jonathan Littman; New York: Doubleday, 2001, 308 + xii pages, $26.00 , 2002 .

[5]  Ben Lowe Design Driven Innovation: Changing the Rules of Competition by Radically Innovating What Things Mean , 2010 .

[6]  John Yong Ming Shyan,et al.  Hybrid approach in prototyping functional medical safety devices: A case study , 2008 .

[7]  Robert J. Youmans,et al.  The effects of physical prototyping and group work on the reduction of design fixation , 2011 .

[8]  Michael Schrage,et al.  Serious Play: How the World's Best Companies Simulate to Innovate , 1999 .

[9]  Robert G. Cooper,et al.  Winning at new products : accelerating the process from idea to launch , 2001 .

[10]  Shun Takai,et al.  Effects of Design Parameters in Cost Estimation and Cost Uncertainty Modeling , 2011 .

[11]  M. Dodgson,et al.  Think, Play, Do: Technology, Innovation, and Organization , 2005 .

[12]  Joe Hempen Global Innovation , 2002 .

[13]  Kenneth B. Kahn,et al.  PERSPECTIVE: Trends and Drivers of Success in NPD Practices: Results of the 2003 PDMA Best Practices Study* , 2009 .

[14]  Katja Hölttä-Otto,et al.  The Effect of Prototyping and Critical Feedback on Fixation in Engineering Design , 2011, CogSci.

[15]  James O Prochaska,et al.  A discussion with James O. Prochaska, PhD. Interview by Paul E. Terry. , 2012, American journal of health promotion : AJHP.

[16]  Justin C. D. Savage,et al.  The interaction of time and cost constraints on the design process , 1998 .

[17]  Kristin L. Wood,et al.  Prototype Partitioning Based on Requirement Flexibility , 2004 .

[18]  Kevin Otto,et al.  Product Design: Techniques in Reverse Engineering and New Product Development , 2000 .

[19]  Haim Mendelson,et al.  Optimal Parallel and Sequential Prototyping in Product Design , 1998 .

[20]  Stefan H. Thomke,et al.  Experimentation Matters: Unlocking the Potential of New Technologies for Innovation , 2003 .

[21]  Alain Bernard,et al.  An original approach for the memorisation and the generation of rapid product development processes , 2003 .

[22]  E. Gerber,et al.  The psychological experience of prototyping , 2012 .

[23]  Stefan H. Thomke,et al.  Managing Experimentation in the Design of New Products , 1998 .

[24]  Roger Martin The Design of Business: Why Design Thinking is the Next Competitive Advantage , 2009 .