Framework for Work-Space Planning Using Four-Dimensional BIM in Construction Projects
Publication: Journal of Construction Engineering and Management
Volume 140, Issue 9
Abstract
Each participant in a building construction project requires a dedicated work space in which to execute their activities. In this environment, inappropriate work-space planning in a construction site causes work-space problems, which results in a loss of productivity, safety hazards, and issues of poor quality. Therefore, the work space should be considered one of the most important resources and constraints to manage at a construction site. However, current construction planning techniques have proven to be insufficient for work-space planning because they do not account for the spatial feature of each activity. To establish a formalized work-space planning process, therefore, this paper categorizes work space by its function and movability and suggests a framework for a work-space planning process that contains five phases, including 4D building information model (BIM) generation, work-space requirement identification, work-space occupation representation, work-space problem identification, and work-space problem resolution. The proposed framework in this paper can improve the accuracy of work-space status representation and work-space problem identification by introducing the work-space occupation concept and the integrated work-space planning process that considers characteristics of activity, work space, and construction plan. In addition, this paper aims to ameliorate the work-space planning process through path analysis and a formalized work-space problem resolution process. To validate the proposed approach, a case project was tested. The result shows the efficiency and effectiveness of the proposed framework on improving the work-space planning process. Based on the result of this study, a project manager will be able to prevent possible work-space problems and their negative effects on project performance by devising a pertinent work-space plan during the preconstruction phase.
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Acknowledgments
This research was supported by a grant from Super-Tall Building R&D Project (13CHUD-B059157-05) and BIM R&D Program (13AUDP-C067809-0) funded by the Ministry of Land, Infrastructure, and Transport of the Korean government.
References
Akinci, B., Fischer, M., and Kunz, J. (2002a). “Automated generation of work spaces required by construction activities.” Working Paper No. 58, Center for Integrated Facility Engineering, Stanford Univ., Stanford, CA.
Akinci, B., Fischer, M, Kunz, J., and Levitt, R. (2002b). “Representing work spaces generically in construction method models.” J. Constr. Eng. Manage., 296–305.
Akinci, B., Fischer, M., Levitt, R., and Carlson, R. (2002c). “Formalization and automation of time-space conflict analysis.” J. Comput. Civ. Eng., 124–134.
Bansal, V. (2011). “Use of GIS and topology in the identification and resolution of space conflicts.” J. Comput. Civ. Eng., 159–171.
Chau, K. W., Anson, M., and Zhang, J. P. (2004). “Four-dimensional visualization of construction scheduling and site utilization.” J. Constr. Eng. Manage., 598–606.
Chavada, R., Dawood, N., and Kassem, M. (2012). “Construction workspace management: The development and application of a novel nD planning approach and tool.” J. Inform. Technol. Constr., 17, 213–236.
Chua, D., Yeoh, K., and Song, Y. (2010). “Quantification of spatial temporal congestion in four-dimensional computer-aided design.” J. Constr. Eng. Manage., 641–649.
Dawood, N., and Mallasi, Z. (2006). “Construction workspace planning: Assignment and analysis utilizing 4D visualization technologies.” Comput. Aided Civ. Infrastruct. Eng., 21(7), 498–513.
DeLoura, M. A., et al. (2000). Game programming gems, Charles River Media, Hingham, MA, 502–516.
Eastman, C., Teicholz, P., Sacks, R., and Liston, K. (2008). BIM handbook: A guide to building information modeling for owners, managers, designers, engineers, and contractors, Wiley, New York, 25–64.
Guo, S. J. (2002). “Identification and resolution of work space conflicts in building construction.” J. Constr. Eng. Manage., 287–295.
Hammad, A., Zhang, C., Al-Hussein, M., and Cardinal, G. (2007). “Equipment workspace analysis in infrastructure projects.” Can. J. Civ. Eng., 34(10), 1247–1256.
Kaming, P. F., Holt, G. D., Kometa, S. T., and Olomolaiye, P. O. (1998). “Severity diagnosis of productivity problems—A reality analysis.” Int. J. Project Manage., 16(2), 107–113.
Kelsey, J., Winch, G., and Penn, A. (2001). Understanding the project planning process: Requirements capture for the virtual construction site, Bartlett Research, Univ. College London.
Madhavan, R., Tunstel, E. W., and Messina, E. R. (2009). Performance evaluation and benchmarking of intelligent systems, Springer, Boston, MA, 139–168.
Mallasi, Z. (2006). “Dynamic quantification and analysis of the construction workspace congestion utilising 4D visualisation.” Autom. Constr., 15(5), 640–655.
Moller, T., and Haines, E. (2002). Real time rendering, 2nd Ed., A. K. Peters, Natick, MA, 631–668.
National Institute of Building Sciences (NIBS). (2013). “National BIM Standard-United States Version 2.” National BIM Standard-United States Project Committee, Washington, DC. 〈http://www.nationalbimstandard.org/about.php〉 (Oct. 6, 2013).
Oglesby, C. H., Parker, H. W., and Howell, G. A. (1989). Productivity improvement in construction, McGraw-Hill, New York.
Riley, D. R., and Sanvido, V. E. (1995). “Patterns of construction-space use in multistory buildings.” J. Constr. Eng. Manage., 464–473.
Riley, D. R., and Sanvido, V. E. (1997). “Space planning method for multistory building construction.” J. Constr. Eng. Manage., 171–180.
Sadeghpour, F., Moselhi, O., and Alkass, S. T. (2006). “Computer-aided site layout planning.” J. Constr. Eng. Manage., 143–151.
Said, H., and El-Rayes, K. (2013). “Optimal utilization of interior building spaces for material procurement and storage in congested construction sites.” Autom. Constr., 31, 292–306.
Sedgewick, R. (2001). “Algorithms in C++ part 5: Graph algorithms.” Chapter 18, External searching, Pearson Education, London, 259–276.
Talmaki, S., and Kamat, V. (2014). “Real-time hybrid virtuality for prevention of excavation related utility strikes.” J. Comput. Civ. Eng., 04014001.
Thabet, W. Y., and Beliveau, Y. J. (1994). “Modeling work space to schedule repetitive floors in multistory buildings.” J. Constr. Eng. Manage., 96–116.
Tommelein, I. D., and Zouein, P. P. (1993). “Interactive dynamic layout planning.” J. Constr. Eng. Manage., 266–287.
Tu, C., and Yu, L. (2009). “Research on collision detection algorithm Based on AABB-OBB Bounding Volume.” Proc., First Int. Workshop on Education Technology and Computer Science, Institute of Electrical and Electronics Engineers (IEEE), New York, 331–333.
Wang, H. J., Zhang, J. P., Chau, K. W., and Anson, M. (2004). “4D dynamic management for construction planning and resource utilization.” Autom. Constr., 13(5), 575–589.
Winch, G. M., and North, S. (2006). “Critical space analysis.” J. Constr. Eng. Manage., 473–481.
Zhang, C., Hammad, A., Zayed, T. M., Wainer, G., and Pang, H. (2007). “Cell-based representation and analysis of spatial resources in construction simulation.” Autom. Constr., 16(4), 436–448.
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© 2014 American Society of Civil Engineers.
History
Received: Nov 22, 2013
Accepted: Apr 17, 2014
Published online: May 28, 2014
Published in print: Sep 1, 2014
Discussion open until: Oct 28, 2014
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