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.

1. Effective Analysis and Planning of R&D Stages: A Simulation Approach;Int. J. Project Manage.,1997

2. Managing Experimentation in the Design of New Products;Manage. Sci.,1998

3. From Experience: Capturing Hard-Won NPD Lessons in Checklists;J. Prod. Innovation Manage.,2001

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.

Cited by 53 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3