Abstract
Progress tracking is an essential management function for successful delivery of Liquefied Natural Gas (LNG) projects. It relies on accurate and prompt data collection from construction sites and project participants, which is then used to early detect actual or potential schedule delay. Currently, many Information Technology (IT)-supported methods have been implemented to improve progress tracking. However, none of them has been able to deliver satisfactory and reliable information. This paper aims to develop an integrated approach for construction progress tracking by integrating laser scanning, Building Information Modeling, mobile computing and Radio Frequency Identification. The approach consists of three modules: milestone progress tracking, onsite activity/Task progress tracking, and supply chain tracking. Finally, a pilot LNG project was selected to validate this approach.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Ellis, M., Heyning, C., Legrand, O.: Extending the LNG boom: improving Australian LNG productivity and competitiveness. McKinsey Global Institute, Report (2013)
Halpin, D.W.: Construction Management. Wiley, Hoboken (2010)
Dong, N., Fischer, M., Haddad, Z., Levitt, R.: A method to automate look-ahead schedule (LAS) generation for the finishing phase of construction projects. Autom. Constr. 35, 157–173 (2013)
Turkan, Y., Bosche, F., Haas, C.T., Haas, R.: Automated progress tracking using 4D schedule and 3D sensing technologies. Autom. Constr. 22, 414–421 (2012)
El-Omari, S., Moselhi, O.: Integrating automated data acquisition technologies for progress reporting of construction projects. Autom. Constr. 20(6), 699–705 (2011)
Chi, H.-L., Wang, J., Wang, X., Truijens, M., Yung, P.: A conceptual framework of quality-assured fabrication, delivery and installation processes for liquefied natural gas (LNG) plant construction. J. Intell. Rob. Syst. 1–16 (2014)
Wang, J., Sun, W., Shou, W., Wang, X., Wu, C., Chong, H.-Y., Liu, Y., Sun, C.: Integrating BIM and LiDAR for real-time construction quality control. J. Intell. Rob. Syst. 1–16 (2014)
Kiziltas, S., Akinci, B.: The need for prompt schedule update by utilizing reality capture technologies: a case study. In: Proceedings of Construction Research Congress, San Diego, CA (2005)
Azimi, R., Lee, S., AbouRizk, S.M., Alvanchi, A.: A framework for an automated and integrated project monitoring and control system for steel fabrication projects. Autom. Constr. 20(1), 88–97 (2011)
Song, L., Eldin, N.N.: Adaptive real-time tracking and simulation of heavy construction operations for look-ahead scheduling. Autom. Constr. 27, 32–39 (2012)
Cheng, J.C., Law, K.H., Bjornsson, H., Jones, A., Sriram, R.: A service oriented framework for construction supply chain integration. Autom. Constr. 19(2), 245–260 (2010)
Chou, J.-S., Chen, H.-M., Hou, C.-C., Lin, C.-W.: Visualized EVM system for assessing project performance. Autom. Constr. 19(5), 596–607 (2010)
Akhavian, R., Behzadan, A.H.: An integrated data collection and analysis framework for remote monitoring and planning of construction operations. Adv. Eng. Inform. 26(4), 749–761 (2012)
Yang, Y.-C., Park, C.-J., Kim, J.-H., Kim, J.-J.: Management of daily progress in a construction project of multiple apartment buildings. J. Constr. Eng. Manage. 133(3), 242–253 (2007)
Cheng, T., Teizer, J.: Real-time resource location data collection and visualization technology for construction safety and activity monitoring applications. Autom. Constr. 34, 3–15 (2013)
Koo, B., Fischer, M.: Feasibility study of 4D CAD in commercial construction. J. Constr. Eng. Manage. 126(4), 251–260 (2000)
Wang, J., Wang, X., Shou, W., Xu, B.: Integrating BIM and augmented reality for interactive architectural visualisation. Constr. Innov. 14(4), 453–476 (2014)
Shou, W., Wang, J., Wang, X., Chong, H.Y.: A comparative review of building information modelling implementation in building and infrastructure industries. Arch. Comput. Methods Eng. 22(2), 291–308 (2015)
Hou, L., Wang, X., Wang, J., Truijens, M.: An integration framework of advanced technologies for productivity improvement for LNG mega-projects. J. Inf. Technol. Constr. 19, 360–382 (2014)
Thorp, J.: The Information Paradox – Realizing the Business Benefits of Information Technology. McGraw-Hill, Toronto (2003)
Acknowledgement
This research was undertaken with the benefit of a grant from Australian Research Council Linkage Program (Grant No. LP130100451).
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2015 Springer International Publishing Switzerland
About this paper
Cite this paper
Wang, J., Shou, W., Wang, X., Chi, HL. (2015). An Integrated Approach for Progress Tracking in Liquefied Natural Gas Construction. In: Luo, Y. (eds) Cooperative Design, Visualization, and Engineering. CDVE 2015. Lecture Notes in Computer Science(), vol 9320. Springer, Cham. https://doi.org/10.1007/978-3-319-24132-6_33
Download citation
DOI: https://doi.org/10.1007/978-3-319-24132-6_33
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-24131-9
Online ISBN: 978-3-319-24132-6
eBook Packages: Computer ScienceComputer Science (R0)