Off-Site Construction Planning Using Discrete Event Simulation
Publication: Journal of Architectural Engineering
Volume 18, Issue 2
Abstract
Off-site construction has become an inseparable part of many construction projects and can increase the productivity and quality of construction projects. Off-site construction involves the application of a significant portion of the required operations to construction elements by off-site fabrication shops in a more controlled and equipped work environment before delivery of the elements to the construction site for erection or assembly. Unfortunately, capturing the constraints imposed by the erection (i.e., assembly) sites in addition to the internal constraints applied to the fabrication shops can make the planning process of fabrication shops challenging for construction managers. To address this issue, the use of discrete event simulation (DES) is proposed as an effective tool for modeling the operational details involved in construction, including constraints arising from both the erection process and from off-site fabrication shops. The applicability and usefulness of this method has been investigated in an experimental case of steel construction; DES models of an off-site structural steel fabrication of a girder bridge project were developed to assess different fabrication plans and to reduce the final project’s duration, and an approximate 10% potential reduction of the final project duration through adjusting the fabrication plan alone was demonstrated.
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Acknowledgments
The authors would like to express our appreciation to the managers and staff at Waiward Steel Fabricators, for their support and participation in the project. The authors would like also to acknowledge the financial support for this research received from the Natural Sciences and Engineering Research Council of Canada’s Discovery Grant (RGPIN 355481-08), and Collaborative Research and Development Grant (CRDPJ 335345-05). Any opinions, findings, conclusions, or recommendations expressed in this publication are those of the authors and do not necessarily reflect the views of the Natural Sciences and Engineering Research Council of Canada.
References
Abudayyeh, O., Young, A. D., and Jaselskis, E. (2004). “Analysis of trends in construction research: 1985–2002.” J. Constr. Eng. Manage.JCCEE5, 130(3), 433–439.
Alvanchi, A., Lee, S., and AbouRizk, S. (2010). “Exploring the effects of context level factors on the structural steel fabrication shop operation.” Proc., 2010 Construction Research Congress, ASCE, Reston, VA, 298–307.
Azimi, R., Lee, S., AbouRizk, S., and Alvanchi, A. (2011). “A framework for an automated and integrated project monitoring and control system for steel fabrication projects.” Autom. Constr.AUCOES, 20(1), 88–97.
Banks, J., Carson, J. S., Nelson, B. L., and Nicol, D. M. (2005). Discrete-event system simulation, 5th Ed., Prentice Hall, Upper Saddle River, NJ.
Eastman, C. M., and Sacks, R. (2008). “Relative productivity in the AEC industries in the united states for on-site and offsite activities.” J. Constr. Eng. Manage.JCEMD4, 134(7), 517–526.
Hajjar, D., and AbouRizk, S. M. (2002). “Unified modeling for construction simulation.” J. Constr. Eng. Manage.JCEMD4, 128(2), 174–185.
Hammad, A. A., Salem, O., Hastak, M.,and Syal, M. (2008). “Decision support system for manufactured housing facility layout.” J. Archit. Eng.JAEIED, 14(2), 36–46.
Jeong, J. G., Hastak, M., and Syal, M. (2006). “Supply chain simulation modeling for the manufactured housing industry.” J. Urban Plann. Dev.JUPDDM, 132(4), 217–225.
Karumanasseri, G., and AbouRizk, S. (2002). “A decision support system (DSS) for scheduling steel fabrication projects.” J. Constr. Eng. Manage.JCEMD4, 128(5), 392–399.
Lu, N. (2009). “The current use of offsite construction techniques in the united states construction industry.” Proc., 2009 Construction Research Congress, ASCE, Reston, VA, 946–955.
Martinez, J. C. (2010). “Methodology for conducting discrete-event simulation studies in construction engineering and management.” J. Constr. Eng. Manage.JCEMD4, 136(1), 3–16.
Mohsen, O. M., Knytl, P. J., Abdulaal, B., Olearczyk, J., and Mohamed, A.-H. (2008). “Simulation of modular building construction.” Proc., Winter Simulation Conf., IEEE, Piscataway, NJ, 2471–2478.
Nasereddin, M., Mullens, M. A., and Cope, D. (2007). “Automated simulator development: A strategy for modeling modular housing production.” Autom. Constr.AUCOES, 16(2), 212–223.
Song, L., and AbouRizk, S. M. (2006). “Virtual shop model for experimental planning of steel fabrication projects.” J. Comput. Civ. Eng.JCCEE5, 20(5), 308–316.
Thomas, H. R., and Sanvido, V. E. (2000). “Role of the fabricator in labor productivity.” J. Constr. Eng. Manage.JCEMD4, 126(5), 358–365.
Yu, H., Al-Hussein, M., and Nasseri, R. (2007). “Process flowcharting and simulation of house structure components production process.” Proc., 2007 Winter Simulation Conf., IEEE, Piscataway, NJ, 2066–2072.
Yusuf, K. O., and Smith, N. J. (1996). “Modelling business processes in steel fabrication.” Int. J. Proj. Manage.IPMAEL, 14(6), 367–371.
Information & Authors
Information
Published In
Journal of Architectural Engineering
Volume 18 • Issue 2 • June 2012
Pages: 114 - 122
Copyright
© 2012. American Society of Civil Engineers.
History
Received: Nov 30, 2010
Accepted: Jul 19, 2011
Published online: Jul 21, 2011
Published in print: Jun 1, 2012
Published ahead of production: Jun 15, 2012
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