The ability to select a design alternative, from a set of feasible alternatives, that is likely to meet customers’ and designer’s preferences and also account for uncertainties is vital to the success of a product design process. This paper presents a new metric, a Customer-based Expected Utility (CEU) metric, for product design selection that accounts for a range of attribute levels (i.e., the customer range) within which customers make purchase decisions. The metric also accounts for designer’s preferences and uncertainty in achieving a desired attribute level (or a combination of attribute levels). The application of the CEU metric is demonstrated by rank-ordering a set of design alternatives for a cordless power tool. Using this metric, design alternatives that fall outside the customer range will yield a relatively low CEU value, while among those that fall in the customer range, the alternatives with a higher value of the designer’s utility yield a higher value of the CEU metric.
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ASME 2002 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference
September 29–October 2, 2002
Montreal, Quebec, Canada
Conference Sponsors:
- Design Engineering Division and Computers and Information in Engineering Division
ISBN:
0-7918-3622-3
PROCEEDINGS PAPER
A Customer-Based Expected Utility Metric for Product Design Selection
B. Besharati,
B. Besharati
University of Maryland, College Park, MD
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S. Azarm,
S. Azarm
University of Maryland, College Park, MD
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A. Farhang-Mehr
A. Farhang-Mehr
University of Maryland, College Park, MD
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B. Besharati
University of Maryland, College Park, MD
S. Azarm
University of Maryland, College Park, MD
A. Farhang-Mehr
University of Maryland, College Park, MD
Paper No:
DETC2002/DAC-34081, pp. 421-428; 8 pages
Published Online:
June 18, 2008
Citation
Besharati, B, Azarm, S, & Farhang-Mehr, A. "A Customer-Based Expected Utility Metric for Product Design Selection." Proceedings of the ASME 2002 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. Volume 2: 28th Design Automation Conference. Montreal, Quebec, Canada. September 29–October 2, 2002. pp. 421-428. ASME. https://doi.org/10.1115/DETC2002/DAC-34081
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