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Optimizing a Construction Planning Schedule Based on the Multi-Attribute Utility Theory
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.
Optimizing a Construction Planning Schedule Based on the Multi-Attribute Utility Theory
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.
Optimizing a Construction Planning Schedule Based on the Multi-Attribute Utility Theory
Liu, Ping (author) / Li, Qiming (author) / Wan, Xin (author)
International Conference on Construction and Real Estate Management 2016 ; 2016 ; Edmonton, Canada
ICCREM 2016 ; 422-427
2017-08-14
Conference paper
Electronic Resource
English
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