Chapter
Aug 14, 2017
International Conference on Construction and Real Estate Management 2016

Optimizing a Construction Planning Schedule Based on the Multi-Attribute Utility Theory

Publication: ICCREM 2016: BIM Application and Off-Site Construction

ABSTRACT

An effective construction schedule plan (CSP) plays an important role in construction management in both the theoretical and practical sense. A large body of research only involved a single-target concern when dealing with CSP improvement. This study aims to present a multi-targets optimization model, which could provide a trade-off solution of CSP optimization regarding period, cost and quality targets. Multi-attribute utility theory (MAUT) was employed to measure and integrate the three targets with different attributes into a comparable utility index. Accordingly, an optimal CSP that produces the maximum value of total utility could be determined. The methodology is illustrated through an example and what points are fundamental to take into account in the utilization of the model are explained.

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ACKNOWLEDGMENTS

The research is funded by the projects of National Natural Science Foundation of China No. 51578144. This support is gratefully acknowledged.

REFERENCES

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Published In

Go to ICCREM 2016
ICCREM 2016: BIM Application and Off-Site Construction
Pages: 422 - 427
Editors: Yaowu Wang, Ph.D., Professor, Harbin Institute of Technology, Mohamed Al-Hussein, Ph.D., Professor, University of Alberta, Geoffrey Q. P. Shen, Ph.D., Professor, The Hong Kong Polytechnic University, and Yimin Zhu, Ph.D., Professor, Louisiana State University
ISBN (Online): 978-0-7844-8027-4

History

Published online: Aug 14, 2017

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Authors

Affiliations

Ph.D. Candidate, Lecturer, Dept. of Construction and Real Estate, Southeast Univ., School of Civil Engineering, Lanzhou Univ. of Technology, Lanzhou, China, 730050. E-mail: [email protected]
Professor, Dept. of Construction and Real Estate, Southeast Univ., Nanjing, China, 210096. E-mail: [email protected]
Ph.D. Candidate, Dept. of Construction and Real Estate, Southeast Univ., Nanjing, China, 210096. E-mail: [email protected]

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