TY - JOUR
T1 - Developing and evaluating a framework of total constraint management for improving workflow in liquefied natural gas construction
AU - Wang, Jun
AU - Shou, Wenchi
AU - Wang, Xiangyu
AU - Wu, Peng
PY - 2016
Y1 - 2016
N2 - Liquefied natural gas projects are complex and full of variability. Their plan reliability is affected by constraints arising from engineering, supply chains and construction site. Effective management of these constraints is critical to reducing project uncertainties and improve workflow. However, current approaches for constraint removal are fragmented and heavily rely on human's commitments because the underlying data for decision-making are static and outdated. In order to tackle this problem, this paper proposes a framework of total constraint management (TCM), which consists of three main parts: constraint modelling, constraint monitoring and constraint removal. Information technologies (i.e. building information modelling, radio frequency identification, barcoding, laser scanning and photogrammetry) are also discussed and incorporated into the TCM framework so as to make it more practical and effective. A laboratory-based experiment was developed to demonstrate and evaluate the framework. The results showed that successful implementation of TCM could significantly improve construction workflow and productivity.
AB - Liquefied natural gas projects are complex and full of variability. Their plan reliability is affected by constraints arising from engineering, supply chains and construction site. Effective management of these constraints is critical to reducing project uncertainties and improve workflow. However, current approaches for constraint removal are fragmented and heavily rely on human's commitments because the underlying data for decision-making are static and outdated. In order to tackle this problem, this paper proposes a framework of total constraint management (TCM), which consists of three main parts: constraint modelling, constraint monitoring and constraint removal. Information technologies (i.e. building information modelling, radio frequency identification, barcoding, laser scanning and photogrammetry) are also discussed and incorporated into the TCM framework so as to make it more practical and effective. A laboratory-based experiment was developed to demonstrate and evaluate the framework. The results showed that successful implementation of TCM could significantly improve construction workflow and productivity.
KW - architecture
KW - construction equipment
KW - construction industry
KW - liquefied natural gas
UR - http://hdl.handle.net/1959.7/uws:52202
U2 - 10.1080/01446193.2016.1227460
DO - 10.1080/01446193.2016.1227460
M3 - Article
SN - 0144-6193
VL - 34
SP - 859
EP - 874
JO - Construction Management and Economics
JF - Construction Management and Economics
IS - 12
ER -