Enhance Construction Visual As-Built Schedule Management Using BIM Technology

Authors: Shu-Hui Jan, Hui-Ping Tserng, Shih-Ping Ho

Abstract:

Construction project control attempts to obtain real-time as-built schedule information and to eliminate project delays by effectively enhancing dynamic schedule control and management. Suitable platforms for enhancing an as-built schedule visually during the construction phase are necessary and important for general contractors. As the application of building information modeling (BIM) becomes more common, schedule management integrated with the BIM approach becomes essential to enhance visual construction management implementation for the general contractor during the construction phase. To enhance visualization of the updated as-built schedule for the general contractor, this study presents a novel system called the Construction BIM-assisted Schedule Management (ConBIM-SM) system for general contractors in Taiwan. The primary purpose of this study is to develop a web ConBIM-SM system for the general contractor to enhance visual as-built schedule information sharing and efficiency in tracking construction as-built schedule. Finally, the ConBIM-SM system is applied to a case study of a commerce building project in Taiwan to verify its efficacy and demonstrate its effectiveness during the construction phase. The advantages of the ConBIM-SM system lie in improved project control and management efficiency for general contractors, and in providing BIM-assisted as-built schedule tracking and management, to access the most current as-built schedule information through a web browser. The case study results show that the ConBIM-SM system is an effective visual as-built schedule management platform integrated with the BIM approach for general contractors in a construction project.

Keywords: BIM, Building information modeling, construction schedule management, as-built schedule management, BIM schedule updating mechanism.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1088714

References:

[1] Taylor, J. E.; Bernstein, P. G. (2009). Paradigm Trajectories of Building Information Modeling Practice in Project Networks. Journal of Management in Engineering, 25(2): 69-76.
[2] Liston, K. M.; Fischer, M.; Kunz, J. 1998. 4D annotator: a visual decision support tool for construction planners, computing in civil engineering, Proceedings of International Computing Congress, Boston, October 18-21:330-341.
[3] Tse, T. K.; Wong, K. A.; Wong, K. F. 2005. The Utilisation of Building Information Models in nD Modelling: A Study of Data Interfacing and Adoption Barriers, Electronic Journal of Information Technology in Construction (ITcon) 10: 85-110.
[4] Manning, R.; Messner, J. 2008. Case studies in BIM implementation for programming of healthcare facilities, Electronic Journal of Information Technology in Construction (ITcon) 13: 446–457.
[5] Eastman, C.; Teicholz, P.; Sacks, R.; Liston, K. 2011. BIM handbook: a guide to building information modeling for owners, managers, designers, engineers and contractors. 2nd ed. NJ: John Wiley and Sons, Inc.
[6] Chau, K.; Anson, M.; Zhang, J. 2004. Four-dimensional visualization of construction scheduling and site utilization, Journal of Construction Engineering and Management 130(4): 598-606.
[7] Lin, Y. C. 2009. Interface problems and methods for general contractor in Taiwan construction projects, in Proc. of 2009 PM Conference, Taiwan, 192–197.
[8] Azimi, R.; Lee, S. H.; AbouRizk, S. M.; Alvanchi, A. 2011. A framework for an automated and integrated project monitoring and control system for steel fabrication projects, Automation in Construction 20(1): 88-97.
[9] Lu, W.; Huang, G. Q.; Li, H. 2011. Scenarios for applying RFID technology in construction project management, Automation in Construction 20(2): 136-143.
[10] Shahi, A.; West, J. S.; Haas, C. T. 2013. Onsite 3D marking for construction activity tracking, Automation in Construction 30: 136-143.
[11] El-Omari, S.; Moselhi, O. 2008. Integrating 3D laser scanning and photogrammetry for progress measurement of construction work, Automation in Construction 18(1): 1-9.
[12] El-Omari, S.; Moselhi, O. 2009. Data acquisition from construction sites for tracking purposes, Engineering, Construction and Architectural Management 16(5): 490-503.
[13] Bosche, F.; Teizer, J.; Haas, C. T.; Caldas, C. H. 2006. Integrating data from 3D CAD and 3D cameras for real-time modeling, Joint International Conference on Computing and Decision Making in Civil and Building Engineering, Montreal, QC, Canada.
[14] Bosche, F.; Haas, C. T.; Murray, P. 2008. Performance of automated project progress tracking with 3D data fusion, CSCE Annual Conference, Quebec, QC, Canada.
[15] Tang, P.; Huber, D.; Akinci, B.; Lipman, R.; Lytle, A. 2010. Automatic reconstruction of as-built building information models from laser-scanned point clouds: A review of related techniques. Automation in Construction 19(7); 829-843.
[16] Turkan, Y.; Bosche, F.; Haas, C. T.; Haas, R. 2012. Automated progress tracking using 4D schedule and 3D sensing technologies, Automation in Construction 22: 414-421.
[17] Kim, C.; Son, H.; Kim, C. 2013. Automated construction progress measurement using a 4D building information model and 3D data, Automation in Construction 31: 75-82.
[18] Xiong, X.; Adan, A.; Akinci, B.; Huber, D. 2013. Automatic creation of semantically rich 3D building models from laser scanner data, Automation in Construction 31: 325-337.
[19] Kim, C.; Kim, B.; Kim, H. 2013. 4D CAD model updating using image processing-based construction progress monitoring, Automation in Construction, http://dx.doi.org/10.1016/j.autcon.2013.03.005