A Systematic Method for Design Prototyping

Author:

Camburn Bradley1,Dunlap Brock2,Gurjar Tanmay3,Hamon Christopher3,Green Matthew4,Jensen Daniel5,Crawford Richard3,Otto Kevin6,Wood Kristin6

Affiliation:

1. Engineering Product Development, Singapore University of Technology and Design, 20 Dover Drive, Singapore 138682 e-mails: ;

2. Department of Mechanical Engineering, The University of Texas at Austin, 204 E. Dean Keeton St. C2200, Austin, TX 78712 e-mail:

3. Department of Mechanical Engineering, The University of Texas at Austin, 204 E. Dean Keeton Street, C2200, Austin, TX 78712 e-mail:

4. Department of Mechanical Engineering, Le Tourneau University, 2100 South Mobberly Avenue, Longview, TX 75602 e-mail:

5. Department of Engineering Mechanics, United States Air Force Academy, U.S. Air Force Academy, Colorado Springs, CO 80840 e-mial:

6. Engineering Product Development, Singapore University of Technology and Design, 20 Dover Drive, Singapore 138682 e-mail:

Abstract

Scientific evaluation of prototyping practices is an emerging field in design research. Prototyping is critical to the success of product development efforts, and yet its implementation in practice is often guided by ad hoc experience. To address this need, we seek to advance the study and development of prototyping principles, techniques, and tools. A method to repeatedly enhance the outcome of prototyping efforts is reported in this paper. The research methodology to develop this method is as follows: (1) systematically identify practices that improve prototyping; (2) synthesize these practices to form a guiding method for designers; and (3) validate that the proposed method encourages best practices and improves performance. Prototyping practices are represented as six key heuristics to guide a designer in planning: how many iterations to pursue, how many unique design concepts to explore in parallel, as well as the use of scaled prototypes, isolated subsystem prototypes, relaxed requirements, and virtual prototypes. The method is correlated, through experimental investigation, with increased application of these best practices and improved design performance outcomes. These observations hold across various design problems studied. This method is novel in providing a systematic approach to prototyping.

Publisher

ASME International

Subject

Computer Graphics and Computer-Aided Design,Computer Science Applications,Mechanical Engineering,Mechanics of Materials

Reference38 articles.

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4. Moe, R. E., Jensen, D. D., and Wood, K. L., 2004, “Prototype Partitioning Based on Requirement Flexibility,” ASME Paper No. DETC2004-57221.10.1115/DETC2004-57221

5. Christie, E., Jensen, D. D., Buckley, R., Menefee, D., Ziegler, K., Wood, K. L., and Crawford, R., 2012, “Prototyping Strategies: Literature Review and Identification of Critical Variables,” American Society for Engineering Education Conference 2012, San Antonio.

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