The Pugh Controlled Convergence Method: Model-Based Evaluation and Implications for Design Theory
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Frey_Pugh controlled.pdf
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Author(s)
Wijnia, Ype
Clausing, Don P.
Herder, Paulien M.
Katsikopoulos, Konstantinos
Subrahmanian, Eswaran
Frey, Daniel
Date Issued
March 2009
Journal
Research in Engineering Design
Publisher
Springer London
Citation
D. Frey, P. Herder, Y. Wijnia, E. Subrahmanian, K. Katsikopoulos, and D. Clausing, “The Pugh Controlled Convergence method: model-based evaluation and implications for design theory,” Research in Engineering Design, vol. 20, Mar. 2009, pp. 41-58.
Version
Author's final manuscript
Abstract
This paper evaluates the Pugh Controlled Convergence method and its relationship to recent developments in design theory. Computer executable models are proposed simulating a team of people involved in iterated cycles of evaluation, ideation, and investigation. The models suggest that: 1) convergence of the set of design concepts is facilitated by the selection of a strong datum concept; 2) iterated use of an evaluation matrix can facilitate convergence of expert opinion, especially if used to plan investigations conducted between matrix runs; and 3) ideation stimulated by the Pugh matrices can provide large benefits both by improving the set of alternatives and by facilitating convergence. As a basis of comparison, alternatives to Pugh's methods were assessed such as using a single summary criterion or using a Borda count. These models suggest that Pugh's method, under a substantial range of assumptions, results in better design outcomes than those from these alternative procedures.
Subjects
decision analysis
multi-criteria decision-making
concept selection
comparative judgment
MIT Department
Massachusetts Institute of Technology. Department of Mechanical Engineering
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Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.
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DOI of Published Version
https://doi.org/10.1007/s00163-008-0056-z
