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Chan, M (2011) Fatigue: the most critical accident risk in oil and gas construction. Construction Management and Economics, 29(04), 341–53.
Elazouni, A and Salem, O A (2011) Progress monitoring of construction projects using pattern recognition techniques. Construction Management and Economics, 29(04), 355–70.
- Type: Journal Article
- Keywords: progress monitoring; project control; pattern recognition; artificial neural network; statistical models
- ISBN/ISSN: 0144-6193
- URL: https://doi.org/10.1080/01446193.2011.554846
- Abstract:
Project monitoring involves collecting the actual?progress data, and comparing them against the relevant planned?progress data to evaluate the overall project progress at specified cut?off dates. Inevitable issues including variations in reporting skills as well as the willingness to record accurate data impact on the quality of the collected data. Comparison against multiple possible benchmarks (one?to?many) rather than a single benchmark (one?to?one) offers the potential to alleviate the negative impact of low?quality data on the progress evaluation. Special patterns, which can be readily manipulated within computer programs, are devised to encode the planned and actual progress at the cut?off dates. Basically, pattern recognition techniques are utilized to classify the multiple patterns representing the planned progress at a given cut?off date and the classification is used to evaluate the pattern representing the actual progress at the same date. The pattern recognition techniques generalize a virtual benchmark to represent the planned progress based on multiple patterns generated at a given cut?off date and representing possible benchmarks. In addition to the alleviation of the negative impact of low?quality data on the progress evaluation, the generalization feature potentially encourages a long?run attitude in site personnel to report high?quality data. Finally, the pattern recognition concept and technique proved their robustness to monitor and evaluate the overall progress of the projects based on the technique of critical path method.
Guan, K, Feng, K and Zeng, S X (2001) Urban housing development reform and in China. Building Research & Information, 29(04), 286–92.
Hallowell, M, Esmaeili, B and Chinowsky, P (2011) Safety risk interactions among highway construction work tasks. Construction Management and Economics, 29(04), 417–29.
Hiete, M, Kühlen, A and Schultmann, F (2011) Analysing the interdependencies between the criteria of sustainable building rating systems. Construction Management and Economics, 29(04), 323–8.
Hongliang, Z, Xiangzhen, H and Ying, W (2001) China's construction regulatory systems. Building Research & Information, 29(04), 265–9.
Hu, K, Rahmandad, H, Smith‐Jackson, T and Winchester, W (2011) Factors influencing the risk of falls in the construction industry: a review of the evidence. Construction Management and Economics, 29(04), 397–416.
Issa, M H, Attalla, M, Rankin, J H and Christian, A J (2011) Energy consumption in conventional, energy‐retrofitted and green LEED Toronto schools. Construction Management and Economics, 29(04), 383–95.
Ling, F Y-Y and Boo, J H S (2001) Improving the accuracy estimates of building of approximate projects. Building Research & Information, 29(04), 311–8.
Luo, J, Gale, A and He, X (2001) Investing in the Chinese industry via joint ventures construction. Building Research & Information, 29(04), 277–85.
Rousseau, D and Chen, Y (2001) Sustainability options for China's residential building sector. Building Research & Information, 29(04), 293–301.
Schade, J, Olofsson, T and Schreyer, M (2011) Decision‐making in a model‐based design process. Construction Management and Economics, 29(04), 371–82.
Sha, K and Lin, S (2001) Reforming China's state-owned enterprises construction. Building Research & Information, 29(04), 270–6.
Shirong, L (2001) China's construction education in higher transition. Building Research & Information, 29(04), 302–11.
Yeh, H-H H (2011) Adjustment behaviour of capital structure over the business cycles: evidence from the construction industry of Taiwan. Construction Management and Economics, 29(04), 329–40.