TY - GEN
T1 - Robustness Analysis of Design Phase Performance Predictors Using Extreme Bounds Analysis (EBA)
AU - Kermanshachi, Sharareh
AU - Rouhanizadeh, Behzad
N1 - Publisher Copyright:
© 2019 American Society of Civil Engineers.
PY - 2019
Y1 - 2019
N2 - The design phase is one of the important phases in any construction project. Leading cost and schedule performance indicators of design phase have been studied by some of the researchers, however, these variables' robustness has been studied rarely. The goal of this research is to discern between the robust and fragile cost overrun and schedule delay indicators of the design phase. Both extreme bounds analysis (EBA) methods including Leamer's and Sala-i-Martin were implemented in this research. The Leamer's method only considers the extreme bounds of the indicator's distribution while Sala-i-Martin focuses on the whole indicator's distribution. Results of this study revealed robust cost overrun and schedule delay indicators in the design phase. Project managers can use the findings of this research to prioritize the more robust indicators as higher priority and reduce required design modifications within the project process.
AB - The design phase is one of the important phases in any construction project. Leading cost and schedule performance indicators of design phase have been studied by some of the researchers, however, these variables' robustness has been studied rarely. The goal of this research is to discern between the robust and fragile cost overrun and schedule delay indicators of the design phase. Both extreme bounds analysis (EBA) methods including Leamer's and Sala-i-Martin were implemented in this research. The Leamer's method only considers the extreme bounds of the indicator's distribution while Sala-i-Martin focuses on the whole indicator's distribution. Results of this study revealed robust cost overrun and schedule delay indicators in the design phase. Project managers can use the findings of this research to prioritize the more robust indicators as higher priority and reduce required design modifications within the project process.
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M3 - Conference contribution
AN - SCOPUS:85078478954
T3 - Computing in Civil Engineering 2019: Data, Sensing, and Analytics - Selected Papers from the ASCE International Conference on Computing in Civil Engineering 2019
SP - 563
EP - 571
BT - Computing in Civil Engineering 2019
A2 - Cho, Yong K.
A2 - Leite, Fernanda
A2 - Behzadan, Amir
A2 - Wang, Chao
PB - American Society of Civil Engineers (ASCE)
T2 - ASCE International Conference on Computing in Civil Engineering 2019: Data, Sensing, and Analytics, i3CE 2019
Y2 - 17 June 2019 through 19 June 2019
ER -