TECHNICAL PAPERS
Oct 1, 2007

Integrating Value Analysis and Quality Function Deployment for Evaluating Design Alternatives

Publication: Journal of Construction Engineering and Management
Volume 133, Issue 10

Abstract

This paper presents a hybrid framework that integrates value analysis and decision making for eliciting and evaluating design alternatives. Value analysis approach relies on the integration of the functional analysis through the systematic use of the functional analysis system technique and quality function deployment. This value analysis methodology enables customer requirements to be linked to specific design alternatives during the project design stage. The degree of project complexity will affect the number of design alternatives to be evaluated. As such, the data envelopment analysis (DEA) is incorporated as a decision support tool to evaluate the degree to which each design alternative satisfies the customer requirements. DEA is used to calculate a customer requirement efficiency index for each alternative. This index is a measure of how well a particular alternative achieves the requirements taking into account its overall cost. The framework was successfully used on a high-tech research facility construction project.

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References

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Published In

Go to Journal of Construction Engineering and Management
Journal of Construction Engineering and Management
Volume 133Issue 10October 2007
Pages: 761 - 770

History

Received: Apr 14, 2006
Accepted: Jan 16, 2007
Published online: Oct 1, 2007
Published in print: Oct 2007

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Authors

Affiliations

Ignacio Cariaga [email protected]
Graduate Research Assistant, Dept. of Civil Engineering, Univ. of Toronto, 35 St. George St., Toronto, Canada M5S 1A4. E-mail: [email protected]
Tamer El-Diraby [email protected]
Assistant Professor and Director, Center for Information Systems in Infrastructure and Construction, Dept. of Civil Engineering, Univ. of Toronto, 35 St. George St., Toronto, Canada M5S 1A4. E-mail: [email protected]
Hesham Osman [email protected]
Ph.D. Candidate, Dept. of Civil Engineering, Univ. Of Toronto, 35 St. George St., Toronto M5S 1A4, Canada. E-mail: [email protected]

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