RFID-Aided Tracking System to Improve Work Efficiency of Scaffold Supplier: Stock Management in Australasian Supply Chain
Publication: Journal of Construction Engineering and Management
Volume 144, Issue 2
Abstract
The potential benefits of applied radio-frequency identification (RFID)-aided systems have been studied by many construction research projects. After reviewing previous works, this paper presents a self-developed system with the focus of a specific case in Australia. The system enables efficient material tracking, aiming for productivity improvement in the case. Initial site observations confirmed the need for an object-oriented material tracking system based on the principles of lean thinking and logistics qualities. Subsequently, a system was designed to activate a proposed method for optimizing material management during the supplier phase of the mega construction project. The experiments in this paper finally present two main streams: (1) performance testing of the system; and (2) productivity measure. As a result of performance testing, the tracking system was successful in locating the distributed 23 tags within an average range of 3.40 m. Supported by this system, the field productivity measurements consisting of four trailer-loading works (two lead and two tail trailers) quantified the feasible benefit of its application. The RFID-aided system facilitated the improvement of work performance, resulting in 10.14 (lead) and 11.80% (tail) productivity improvement. This research project therefore validated the benefits of RFID application in a construction supply chain by measuring its true value via the productivity improvements.
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Data Availability Statement
Data generated or analyzed during the study are available from the corresponding author by request. Information about the Journal’s data sharing policy can be found here: http://ascelibrary.org/doi/10.1061/%28ASCE%29CO.1943-7862.0001263.
Acknowledgments
The research project described in this paper was substantially supported by Atlantic Pacific Equipment, Inc. AT-PAC (Mr. Jim Robinson, Mr. Alex O’Neil, Ms. Sandra Webber, and Ms. Megan Nicholl); and the Australian Research Council (ARC).
References
Akinci, B., Patton, M., and Ergen, E. (2002). “Utilizing radio frequency identification on precast concrete components—Supplier’s perspective.” Int. Symp. on Automation and Robotics in Construction (ISARC), NIST, Gaithersburg, MD.
Alsalih, W., Alma’aitah, A., and Alkhater, W. (2014). “RFID localization using angle of arrival cluster forming.” Int. J. Distrib. Sens. Netw., 2014(269596), 1–8.
Bellah, J., Zelbst, P. J., and Green, K. W. (2013). “Unique TQM practices and logistics performance.” Int. J. Productivity Q. Manage., 12(1), 61–76.
Bernold, L. E., and AbouRizk, S. M. (2010). Managing performance in construction, Wiley, Hoboken, NJ.
Bernold, L. E., and Lee, T. S. (2010). “Experimental research in construction.” J. Constr. Eng. Manage., 26–35.
Bernold, L. E., and Salim, M. (1993). “Placement-oriented design and delivery of concrete reinforcement.” J. Constr. Eng. Manage., 323–335.
Canel, C., Rosen, D., and Anderson, E. A. (2000). “Just-in-time is not just for manufacturing: A service perspective.” Ind. Manage. Data Syst., 100(2), 51–60.
D’Mello, S., Mathews, E., McCauley, L., and Markham, J. (2008). “Impact of position and orientation of RFID tags on real time asset tracking in a supply chain.” J. Theor. Appl. Electron. Commerce Res., 3(1), 1–12.
Dzeng, R.-J., Lin, C.-W., and Hsiao, F.-Y. (2014). “Application of RFID tracking to the optimization of function-space assignment in buildings.” Autom. Constr., 40, 68–83.
Fang, Y., Cho, Y. K., Zhang, S., and Perez, E. (2016). “Case study of BIM and cloud-enabled real-time RFID indoor localization for construction management applications.” J. Constr. Eng. Manage., 05016003.
Han, K., and Cho, S. H. (2010). “Advanced LANDMARC with adaptive k-nearest algorithm for RFID location system.” Proc., IEEE Int. Conf. on Network Infrastructure and Digital Content 2010, IEEE, Piscataway, NJ.
Hangos, K., and Cameron, I. T. (2001). Process modelling and model analysis, Elsevier Science, Burlington, NJ.
Jaselskis, E., Anderson, M., Jahren, C., Rodriguez, Y., and Njos, S. (1995). “Radio-frequency identification applications in construction industry.” J. Constr. Eng. Manage., 189–196.
Lee, H., Lee, K., Park, M., Baek, Y., and Lee, S. (2012). “RFID-based real-time locating system for construction safety management.” J. Comput. Civ. Eng., 366–377.
Li, H., et al. (2015). “Chirp-spread-spectrum-based real time location system for construction safety management: A case study.” Autom. Constr., 55, 58–65.
Montaser, A., and Moselhi, O. (2014). “RFID indoor location identification for construction projects.” Autom. Constr., 39, 167–179.
Moon, S. (2014). “Dynamic control of supply chain quality to improve process performance in construction.” Ph.D. thesis, Univ. of New South Wales, Sydney, Australia.
Moon, S., Forlani, J., Wang, X., and Tam, V. (2016a). “Productivity study of the scaffolding operations in liquefied natural gas plant construction: Ichthys project in Darwin, Northern Territory, Australia.” J. Prof. Issues Eng. Educ. Pract., 04016008.
Moon, S., Han, S., Zekavat, P. R., Bernold, L. E., and Wang, X. (2016b). “Process-waste reduction in the construction supply chain using proactive information network.” Concurrent Eng., 25(2), 123–135.
Moon, S., and Yang, B. (2010). “Effective monitoring of the concrete pouring operation in an RFID-based environment.” J. Comput. Civ. Eng., 108–116.
Moon, S., Zekavat, P. R., and Bernold, L. E. (2015). “Dynamic control of construction supply chain to improve labor performance.” J. Constr. Eng. Manage., 05015002.
Moon, S., Zekavat, P. R., and Bernold, L. E. (2016c). “Dynamic quality control of process resource to improve concrete supply chain.” J. Constr. Eng. Manage., 04016130.
Naresh, A., and Jahren, C. (1997). “Communications and tracking for construction vehicles.” J. Constr. Eng. Manage., 261–268.
Ni, L. M., Liu, Y., Lau, Y. C., and Patil, A. P. (2003). “LANDMARC: Indoor location sensing using active RFID.” Proc., 1st IEEE Int. Conf. on Pervasive Computing and Communications, IEEE, Piscataway, NJ.
Ōno, T. (1988). Toyota production system: Beyond large-scale production, Taylor & Francis, Cambridge, MA.
Park, J., Kim, K., and Cho, Y. K. (2017). “Framework of automated construction-safety monitoring using cloud-enabled BIM and BLE mobile tracking sensors.” J. Constr. Eng. Manage., 05016019.
Polat, G., Arditi, D., and Mungen, U. (2007). “Simulation-based decision support system for economical supply chain management of rebar.” J. Constr. Eng. Manage., 29–39.
Robinson, C. J., and Malhotra, M. K. (2005). “Defining the concept of supply chain quality management and its relevance to academic and industrial practice.” Int. J. Production Econ., 96(3), 315–337.
Senghore, O., Hastak, M., Abdelhamid, T. S., AbuHammad, A., and Syal, M. G. (2004). “Production process for manufactured housing.” J. Constr. Eng. Manage., 708–718.
Shao, S., and Burkholder, R. J. (2013). “Item-level RFID tag location sensing utilizing reader antenna spatial diversity.” IEEE Sens. J., 13(10), 3767–3774.
Soleimanifar, M., Shen, X., Lu, M., and Nikolaidisc, I. (2014). “Applying received signal strength based methods for indoor positioning and tracking in construction applications.” Can. J. Civ. Eng., 41(8), 703–716.
Tserng, H. P., Yin, S. Y. L., and Li, S. (2006). “Developing a resource supply chain planning system for construction projects.” J. Constr. Eng. Manage., 393–407.
Wang, L.-C., Lin, Y.-C., and Lin, P. H. (2007). “Dynamic mobile RFID-based supply chain control and management system in construction.” Adv. Eng. Inf., 21(4), 377–390.
Womack, J. P., and Jones, D. T. (2010). Lean thinking: Banish waste and create wealth in your corporation, Free Press, Riverside, CA.
Zekavat, P. R., Moon, S., and Bernold, L. E. (2015). “Holonic construction management: Unified framework for ICT-supported process control.” J. Manage. Eng., A4014008.
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Published In
Journal of Construction Engineering and Management
Volume 144 • Issue 2 • February 2018
Copyright
©2017 American Society of Civil Engineers.
History
Received: Nov 21, 2016
Accepted: Aug 3, 2017
Published online: Dec 14, 2017
Published in print: Feb 1, 2018
Discussion open until: May 14, 2018
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