TY - GEN
T1 - Discovering the Impact of Late Change Orders and Rework on Labor Productivity
T2 - Construction Research Congress 2018: Infrastructure and Facility Management, CRC 2018
AU - Kermanshachi, Sharareh
AU - Thakur, Rishab
AU - Govan, Paul
N1 - Publisher Copyright:
© 2015 Institution of Mechanical Engineers. All rights reserved.
PY - 2018
Y1 - 2018
N2 - Most complex projects can expect some level of rework and minor changes that can be conceptually predicted and estimated during the bidding process. However, existing literature and practitioners' experience indicate that the true impact of late change orders and rework on labor productivity behavior is often greater than expected, and the unintended side effects are very difficult to measure. This lack of knowledge and understanding leads to inaccurate calculations of the true impact of project changes and creates an incorrect ground for future decisions. Therefore, this research aims to develop a system dynamics model to understand and analyze the fluctuations in the field labor productivity rate and behavior in response to changes in the scope of the project. The other objective of this study is to formulate and discuss management policies that limit these undesirable side effects and their implications. Based on a large-scale design-bid-build water treatment project, this research conducts a case study to monitor the behavior of changes in productivity rate due to different scale change orders. The simulation results show that if a project falls behind schedule due to a change and the project deadline remains fixed, schedule pressure leads to an initial increase in productivity up to a certain level, but eventually may lead to major employee frustration. This frustration has the potential of increasing the project duration further and makes a bad situation even worse. Schedule pressure further exacerbates the problem by typically increasing the rework fraction or the errors on the built work packages. The outcome of this study helps practitioners to utilize the developed model to monitor and track labor productivity rate changes in each individual construction project and manage institutional overtime policies accordingly.
AB - Most complex projects can expect some level of rework and minor changes that can be conceptually predicted and estimated during the bidding process. However, existing literature and practitioners' experience indicate that the true impact of late change orders and rework on labor productivity behavior is often greater than expected, and the unintended side effects are very difficult to measure. This lack of knowledge and understanding leads to inaccurate calculations of the true impact of project changes and creates an incorrect ground for future decisions. Therefore, this research aims to develop a system dynamics model to understand and analyze the fluctuations in the field labor productivity rate and behavior in response to changes in the scope of the project. The other objective of this study is to formulate and discuss management policies that limit these undesirable side effects and their implications. Based on a large-scale design-bid-build water treatment project, this research conducts a case study to monitor the behavior of changes in productivity rate due to different scale change orders. The simulation results show that if a project falls behind schedule due to a change and the project deadline remains fixed, schedule pressure leads to an initial increase in productivity up to a certain level, but eventually may lead to major employee frustration. This frustration has the potential of increasing the project duration further and makes a bad situation even worse. Schedule pressure further exacerbates the problem by typically increasing the rework fraction or the errors on the built work packages. The outcome of this study helps practitioners to utilize the developed model to monitor and track labor productivity rate changes in each individual construction project and manage institutional overtime policies accordingly.
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U2 - 10.1061/9780784481295.069
DO - 10.1061/9780784481295.069
M3 - Conference contribution
AN - SCOPUS:85048656080
T3 - Construction Research Congress 2018: Infrastructure and Facility Management - Selected Papers from the Construction Research Congress 2018
SP - 691
EP - 701
BT - Construction Research Congress 2018
A2 - Wang, Chao
A2 - Berryman, Charles
A2 - Harper, Christofer
A2 - Lee, Yongcheol
A2 - Harris, Rebecca
PB - American Society of Civil Engineers (ASCE)
Y2 - 2 April 2018 through 4 April 2018
ER -