This research introduces a new systematic approach to identify the optimal design configuration and attributes to minimize the potential construction project changes. The second part of this paper focuses on the attribute design aspect. In this research, the potential changes of design attribute values are modeled by probability distribution functions. Attribute values of the design whose construction tasks are least sensitive to the changes of these attribute values are identified based upon Taguchi Method. In addition, estimation of the potential project change cost due to the potential design attribute value changes is also discussed. Case studies in pipeline engineering design and construction have been conducted to show the effectiveness of the introduced approach.
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ASME 2004 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference
September 28–October 2, 2004
Salt Lake City, Utah, USA
Conference Sponsors:
- Design Engineering Division and Computers and Information in Engineering Division
ISBN:
0-7918-4694-6
PROCEEDINGS PAPER
Design for Project Change Management: Part 2 — Attribute Design
D. Xue,
D. Xue
University of Calgary, Calgary, Alberta, Canada
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S. Y. Cheing,
S. Y. Cheing
University of Calgary, Calgary, Alberta, Canada
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P. Gu
P. Gu
University of Calgary, Calgary, Alberta, Canada
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D. Xue
University of Calgary, Calgary, Alberta, Canada
S. Y. Cheing
University of Calgary, Calgary, Alberta, Canada
P. Gu
University of Calgary, Calgary, Alberta, Canada
Paper No:
DETC2004-57332, pp. 553-564; 12 pages
Published Online:
June 27, 2008
Citation
Xue, D, Cheing, SY, & Gu, P. "Design for Project Change Management: Part 2 — Attribute Design." Proceedings of the ASME 2004 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. Volume 1: 30th Design Automation Conference. Salt Lake City, Utah, USA. September 28–October 2, 2004. pp. 553-564. ASME. https://doi.org/10.1115/DETC2004-57332
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