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Ahmadian Fard Fini, A, Akbarnezhad, A, Rashidi, T H and Waller, S T (2018) Dynamic Programming Approach toward Optimization of Workforce Planning Decisions. Journal of Construction Engineering and Management, 144(02).
Chao, L and Kuo, C (2018) Neural-Network-Centered Approach to Determining Lower Limit of Combined Rate of Overheads and Markup. Journal of Construction Engineering and Management, 144(02).
Choi, B and Lee, S (2018) An Empirically Based Agent-Based Model of the Sociocognitive Process of Construction Workers’ Safety Behavior. Journal of Construction Engineering and Management, 144(02).
Du, J, Shi, Y, Zou, Z and Zhao, D (2018) CoVR: Cloud-Based Multiuser Virtual Reality Headset System for Project Communication of Remote Users. Journal of Construction Engineering and Management, 144(02).
El Meouche, R, Abunemeh, M, Hijaze, I, Mebarki, A and Shahrour, I (2018) Developing Optimal Paths for Evacuating Risky Construction Sites. Journal of Construction Engineering and Management, 144(02).
Fuller, J, Brown, C J and Crowley, R (2018) Performance-Based Maintenance Contracting in Florida: Evaluation by Surveys, Statistics, and Content Analysis. Journal of Construction Engineering and Management, 144(02).
Ghodoosi, F, Abu-Samra, S, Zeynalian, M and Zayed, T (2018) Maintenance Cost Optimization for Bridge Structures Using System Reliability Analysis and Genetic Algorithms. Journal of Construction Engineering and Management, 144(02).
Han, K, Degol, J and Golparvar-Fard, M (2018) Geometry- and Appearance-Based Reasoning of Construction Progress Monitoring. Journal of Construction Engineering and Management, 144(02).
Kaminsky, J A (2018) National Culture Shapes Private Investment in Transportation Infrastructure Projects around the Globe. Journal of Construction Engineering and Management, 144(02).
Khanzadi, M, Nasirzadeh, F and Dashti, M S (2018) Fuzzy Cognitive Map Approach to Analyze Causes of Change Orders in Construction Projects. Journal of Construction Engineering and Management, 144(02).
Langdon, R R and Sawang, S (2018) Construction Workers’ Well-Being: What Leads to Depression, Anxiety, and Stress?. Journal of Construction Engineering and Management, 144(02).
Lessing, J and Brege, S (2018) Industrialized Building Companies’ Business Models: Multiple Case Study of Swedish and North American Companies. Journal of Construction Engineering and Management, 144(02).
Love, P E D, Teo, P and Morrison, J (2018) Revisiting Quality Failure Costs in Construction. Journal of Construction Engineering and Management, 144(02).
Moon, S, Xu, S, Hou, L, Wu, C, Wang, X and Tam, V W Y (2018) RFID-Aided Tracking System to Improve Work Efficiency of Scaffold Supplier: Stock Management in Australasian Supply Chain. Journal of Construction Engineering and Management, 144(02).
- Type: Journal Article
- Keywords: Radio-frequency identification (RFID); Productivity; Material tracking and locating; Supply chain; Scaffolding; Logistics; Project planning and design;
- ISBN/ISSN: 0733-9364
- URL: https://doi.org/10.1061/(ASCE)CO.1943-7862.0001432
- 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.
Praticò, F G and Giunta, M (2018) Proposal of a Key Performance Indicator for Railway Track Based on LCC and RAMS Analyses. Journal of Construction Engineering and Management, 144(02).
Rashid, K M and Behzadan, A H (2018) Risk Behavior-Based Trajectory Prediction for Construction Site Safety Monitoring. Journal of Construction Engineering and Management, 144(02).
Said, H M and Bartusiak, J (2018) Regional Competition Analysis of Industrialized Homebuilding Industry. Journal of Construction Engineering and Management, 144(02).
Said, H M and Kandimalla, P (2018) Performance Measurement of Building Sheet-Metal Ductwork Prefabrication under Batch Production Settings. Journal of Construction Engineering and Management, 144(02).
Sangiorgio, V, Uva, G and Fatiguso, F (2018) Optimized AHP to Overcome Limits in Weight Calculation: Building Performance Application. Journal of Construction Engineering and Management, 144(02).
Stanford, M S and Molenaar, K R (2018) Influence of Simplified Procurement Methods on Competition for Public Sector Construction. Journal of Construction Engineering and Management, 144(02).
Tran, D Q, Diraviam, G and Minchin, R E (2018) Performance of Highway Design-Bid-Build and Design-Build Projects by Work Types. Journal of Construction Engineering and Management, 144(02).
Xiao, J, Li, X, Zhang, Z and Zhang, J (2018) Ontology-Based Knowledge Model to Support Construction Noise Control in China. Journal of Construction Engineering and Management, 144(02).
Yiu, T W, Liu, T and Kwok, L C (2018) Explicating the Role of Relationship in Construction Claim Negotiations. Journal of Construction Engineering and Management, 144(02).