Simulation-Driven Design of Wood Framing Support Systems for Off-Site Construction Machinery
Publication: Journal of Construction Engineering and Management
Volume 146, Issue 7
Abstract
Off-site construction aims to shift construction work to a factory environment, thereby enabling automation of the wood framing process. Current automated or semiautomated solutions for wood framing are assisted by a series of support and buffer tables that occupy a large footprint within industrialized construction plants. As the wood panels become longer to minimize transportation costs, so do their necessary support systems. To provide a more cost-effective solution for wood framing support systems, this paper proposes a simulation-driven redesign. The simulation model was built on existing data from current machinery, enabling users to modify design parameters and machine logic without incurring costs associated with prototyping. The simulation results were then analyzed from performance and cost perspectives to decide on the final design parameters. The redesign of the wood framing support systems was found to be almost 40% less costly and more than 10% more productive than currently available systems, showcasing the importance of simulation within the field of construction automation.
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Data Availability Statement
All data generated or analyzed during the study are included in the published paper. Information about the Journal’s data-sharing policy can be found here: http://ascelibrary.org/doi/10.1061/(ASCE)CO.1943-7862.0001263.
Acknowledgments
The authors gratefully acknowledge the support of all personnel involved in the development of the wood framing machine prototype, as well as the financial support from the Natural Sciences and Engineering Research Council of Canada (File No. IRCPJ 419145-15).
References
Al-Bazi, A., and N. Dawood. 2012. “Simulation-based genetic algorithms for construction supply chain management: Off-site precast concrete production as a case study.” OR Insight 25 (3): 165–184. https://doi.org/10.1057/ori.2012.7.
Altaf, M. S., M. Al-Hussein, and H. Yu. 2014. “Wood-frame wall panel sequencing based on discrete-event simulation and particle swarm optimization.” In Proc., 31st Int. Symp. on Automation and Robotics in Construction and Mining. Kitakyushu, Japan: International Association for Automation and Robotics in Construction. https://doi.org/10.22260/ISARC2014/0034.
Altaf, M. S., A. Bouferguene, H. Liu, M. Al-Hussein, and H. Yu. 2018. “Integrated production planning and control system for a panelized home prefabrication facility using simulation and RFID.” Autom. Constr. 85 (Jan): 369–383. https://doi.org/10.1016/j.autcon.2017.09.009.
Andersson, C., and M. Bellgran. 2015. “On the complexity of using performance measures: Enhancing sustained production improvement capability by combining OEE and productivity.” J. Manuf. Syst. 35 (Apr): 144–154. https://doi.org/10.1016/j.jmsy.2014.12.003.
Arashpour, M., R. Wakefield, N. Blismas, and J. Minas. 2015. “Optimization of process integration and multi-skilled resource utilization in off-site construction.” Autom. Constr. 50 (Feb): 72–80. https://doi.org/10.1016/j.autcon.2014.12.002.
Beniz, D., and A. Espindola. 2017. “Using Tkinter of python to create graphical user interface (GUI) for scripts in LNLS.” In Proc., 11st Int. Workshop on Personal Computers and Particle Accelerator Controls, PCaPAC2016. Geneva: JACoW. https://doi.org/10.18429/JACoW-PCaPAC2016-WEPOPRPO25.
Deasy, M., N. Baudin, S. O’Shaughnessy, and A. Robinson. 2017. “Simulation-driven design of a passive liquid cooling system for a thermoelectric generator.” Appl. Energy 205 (Nov): 499–510. https://doi.org/10.1016/j.apenergy.2017.07.127.
Hamdan, S. B., A. Alwisy, M. Al-Hussein, S. AbouRizk, and Z. Ajweh. 2015a. “Simulation based multi-objective cost-time trade-off for multi-family residential off-site construction.” In Proc., 2015 Winter Simulation Conf. (WSC), 3391–3401. New York: IEEE.
Hamdan, S. B., B. Barkokebas, J. D. Manrique, and M. Al-Hussein. 2015b. “A BIM-based simulation model for inventory management in panelized construction.” In Proc., 32nd Int. Symp. on Automation and Robotics in Construction and Mining. Kitakyushu, Japan: International Association for Automation and Robotics in Construction. https://doi.org/10.22260/ISARC2015/0092.
Han, S. H., M. Al-Hussein, S. Al-Jibouri, and H. Yu. 2012. “Automated post-simulation visualization of modular building production assembly line.” Autom. Constr. 21 (Jan): 229–236. https://doi.org/10.1016/j.autcon.2011.06.007.
Karlberg, M., M. Löfstrand, S. Sandberg, and M. Lundin. 2013. “State of the art in simulation-driven design.” Int. J. Prod. Dev. 18 (1): 68. https://doi.org/10.1504/IJPD.2013.052166.
Koziel, S., and A. Bekasiewicz. 2016. “A structure and simulation-driven design of compact CPW-fed UWB antenna.” IEEE Antennas Wirel. Propag. Lett. 15 (Aug): 750–753. https://doi.org/10.1109/LAWP.2015.2471848.
Koziel, S., and L. Leifsson. 2013. Surrogate-based modeling and optimization. New York: Springer. https://doi.org/10.1007/978-1-4614-7551-4.
Lu, W., T. Olofsson, and L. Stehn. 2011. “A lean-agile model of homebuilders’ production systems.” Constr. Manage. Econ. 29 (1): 25–35. https://doi.org/10.1080/01446193.2010.531027.
Malik, N., R. Ahmad, and M. Al-Hussein. 2018. “Investigating the effects of reduced technological constraints on cycle time through simulation modelling for automated steel wall framing.” In Proc., Modular and Offsite Construction (MOC) Summit. Edmonton, AB, Canada: Univ. of Alberta. https://doi.org/10.29173/mocs36.
Malik, N., R. Ahmad, and M. Al-Hussein. 2019. “Generation of safe tool-paths for automatic manufacturing of light gauge steel panels in residential construction.” Autom. Constr. 98 (Feb): 46–60. https://doi.org/10.1016/j.autcon.2018.11.023.
Martinez, J. C. 2010. “Methodology for conducting discrete-event simulation studies in construction engineering and management.” J. Constr. Eng. Manage. 136 (1): 3–16. https://doi.org/10.1061/(ASCE)CO.1943-7862.0000087.
Martinez, P., R. Ahmad, and M. Al-Hussein. 2019. “A vision-based system for pre-inspection of steel frame manufacturing.” Autom. Constr. 97 (Jan): 151–163. https://doi.org/10.1016/j.autcon.2018.10.021.
Mohamed, Y., D. Borrego, L. Francisco, M. Al-Hussein, S. AbouRizk, and U. Hermann. 2007. “Simulation-based scheduling of module assembly yards: Case study.” Eng. Constr. Archit. Manage. 14 (3): 293–311. https://doi.org/10.1108/09699980710744926.
Mostafa, S., N. Chileshe, and T. Abdelhamid. 2016. “Lean and agile integration within offsite construction using discrete event simulation.” Constr. Innov. 16 (4): 483–525. https://doi.org/10.1108/CI-09-2014-0043.
National Association of Home Builders. 2009. “Panelized building systems.” Accessed September 14, 2019. https://www.nahb.org/en/consumers/home-buying/types-of-home-construction/types-of-home-construction-panelized-building-systems.aspx.
Rohani, M., M. Fan, and C. Yu. 2014. “Advanced visualization and simulation techniques for modern construction management.” Indoor Built Environ. 23 (5): 665–674. https://doi.org/10.1177/1420326X13498400.
Shao, Y., Y. Liu, X. Ye, and S. Zhang. 2018. “A machine learning based global simulation data mining approach for efficient design changes.” Adv. Eng. Software 124 (Oct): 22–41. https://doi.org/10.1016/j.advengsoft.2018.07.002.
Sravan, T., N. R. Suddapalli, P. Johan, S. Mats, and J. Christian. 2017. “Simulation-driven design approach for design and optimization of blankholder.” J. Phys.: Conf. Ser. 896 (1): 012045. https://doi.org/10.1088/1742-6596/896/1/012045.
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©2020 American Society of Civil Engineers.
History
Received: Oct 7, 2019
Accepted: Dec 31, 2019
Published online: Apr 30, 2020
Published in print: Jul 1, 2020
Discussion open until: Sep 30, 2020
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