TY - GEN
T1 - Investigation and Analysis of Human, Organizational, and Project Based Rework Indicators in Construction Projects
AU - Safapour, Elnaz
AU - Kermanshachi, Sharareh
N1 - Publisher Copyright:
© 2019 American Society of Civil Engineers.
PY - 2019
Y1 - 2019
N2 - Since construction project rework is one of the most important causes of cost overruns, the best strategy is to identify the causes of rework at the right time. Therefore, the aim of this study is to investigate and analyze the rework indicators (RIs) belonging three categories of organization, project, and people. To fulfill the objectives of this study, a structured survey was developed in order to collect data associated with various construction project characteristics, change orders, cost, and schedule performance. Appropriate statistical tests were applied to the 39 collected survey responses. The result reveals that the experience of the project management team PMT in the design and/or construction phase, and number of PMTs who work in a construction project are the most important indicators in deriving rework. The findings of this study would assist project managers (PMs) in planning proactively to prevent construction project rework.
AB - Since construction project rework is one of the most important causes of cost overruns, the best strategy is to identify the causes of rework at the right time. Therefore, the aim of this study is to investigate and analyze the rework indicators (RIs) belonging three categories of organization, project, and people. To fulfill the objectives of this study, a structured survey was developed in order to collect data associated with various construction project characteristics, change orders, cost, and schedule performance. Appropriate statistical tests were applied to the 39 collected survey responses. The result reveals that the experience of the project management team PMT in the design and/or construction phase, and number of PMTs who work in a construction project are the most important indicators in deriving rework. The findings of this study would assist project managers (PMs) in planning proactively to prevent construction project rework.
UR - http://www.scopus.com/inward/record.url?scp=85074826638&partnerID=8YFLogxK
M3 - Conference article
AN - SCOPUS:85074826638
T3 - Computing in Civil Engineering 2019: Data, Sensing, and Analytics - Selected Papers from the ASCE International Conference on Computing in Civil Engineering 2019
SP - 505
EP - 512
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 -