Technical Briefs

Decision Methods for Design: Insights from Psychology

[+] Author and Article Information
Konstantinos V. Katsikopoulos

Massachusetts Institute of Technology,Department of Mechanical Engineering and Engineering Systems Division, 77 Massachusetts Avenue, Room 3-449D, Cambridge MA 02139-4307; Center for Adaptive Behavior and Cognition, Max Planck Institute for Human Development, Lentzeallee 94, 14195 Berlin, Germanykatsikop@mpib-berlin.mpg.de

J. Mech. Des 134(8), 084504 (Jul 23, 2012) (4 pages) doi:10.1115/1.4007001 History: Received February 27, 2012; Revised April 27, 2012; Published July 23, 2012; Online July 23, 2012

This work aims at stimulating constructive conversation about decision methods in engineering design by using insights from psychology. I point out that any decision method has two components: coherence, which refers to internal consistency (do design choices satisfy a logical axiom?) and correspondence, which refers to external effectiveness (does a design concept satisfy a functional requirement?). Some researchers argue for “rational” methods such as multi-attribute utility theory, whereas others argue for “heuristics” such as the Pugh process, and the coherence/correspondence distinction can clarify this debate in two ways. First, by analyzing statements in the design literature, I argue that the debate is essentially about different strategies for achieving correspondence: Multi-attribute utility theory aims at achieving coherence with the expectation that coherence will imply correspondence, whereas the Pugh process aims at directly achieving correspondence. Second, I propose a new research question for design: “Under what conditions does achieving coherence imply achieving correspondence?”

Copyright © 2012 by American Society of Mechanical Engineers
Topics: Design
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