The Pugh Controlled Convergence method: Model-based evaluation and implications for design theory

The Pugh Controlled Convergence method: Model-based evaluation and implications for design theory

Frey, D.D.
Herder, P.M.
Wijnia, Y.
Saubrahmanian, E.
Katsikopoulos, K.
Clausing, D.P.

Technology, Policy and Management

Infrastructures, Systems and Services

2008-12-05

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.

Concept selection
Multi-criteria decision-making
Decision analysis
Comparative judgment

http://resolver.tudelft.nl/uuid:23fd6222-e1f1-44ec-8bb9-ce7e7ce7d9b6

https://doi.org/10.1007/s00163-008-0056-z

Springer

1435-6066

Research in Engineering Design, 20 (1), 2009

Institutional Repository

journal article

(c) 2008 Springer Verlag London