Optimizing the Time Performance of Subcontractors in Building Projects

Andy K.W Ng, Andrew D.F Price


Abstract

 

The main contractors of Hong Kong building projects tend to subcontract most of their work. However, many of the subcontractors complain that they are not being fully utilized due main contractors’ poor site coordination of temporary works and interfacing works and plant supports etc. A list of critical site coordination problems caused by main contractors that had adversely influence to the time performance of subcontractors was prepared. A questionnaire survey was conducted to collect data to generate multiple regression equations that explain how the critical site coordination problems affected the time performance of different types of subcontractor. The survey results were validated by neural network analysis. Backward elimination method was adopted to identify the ‘most critical’ site coordination problems that enable main contractors to formulate measures to enhance their site management system.

Keywords

Subcontractor; Site coordination problem; Time performance

Full Text

PDF

References

Bhokha S. and Ogunlana SO. (1999) 'Application of artificial neural network to forecast construction duration of buildings at the predesign stage', Engineering, Construction and Architectural Management, 1996 6/2, 133-144

Census and Statistics Department (2009) Census and Statistics, Hong Kong SAR Government

Chan, DWM. and Kumaraswamy, MM. (1999) 'Modelling and predicting construction durations in Hong Kong public housing', Construction Management and Economics, 17, 351-362

Chew M. Y. L., Silva N D. and Tan S. S. (2004) 'A neural network approach to assessing building fa–ade maintainability in the tropics', Construction Management and Economics, 22, 581-594 http://dx.doi.org/10.1080/01446190310001631019

Frisby, T. N. (1990) Survival in the Construction Business: Checklists for Success, R.S. Means, Kingston, Mass

Kadir, MR, Abdul, Lee, WP, Jaafar, MS, Sapuan, SM, and Ali, AAA, (2005), 'Factors affecting construction labour productivity for Malaysian residential projects', Structural Survey, 23 (1), 2005, 42-54 http://dx.doi.org/10.1108/02630800510586907

Khosrowshahi F. (1999) 'Neural network model for contractors' prequalification for local authority projects, Engineering, Construction and Architectural Management, 6 (3), 315-328

Kinnear, PR. and Gray, DC, (2008) SPSS15 Made Simple, Taylor & Francis, London

Leung AWT. and Tam CM. (1999) 'Prediction of hoisting time for tower cranes for public housing construction in Hong Kong', Construction Management and Economics 17, 305-314 http://dx.doi.org/10.1080/014461999371510

Ng, K. W. A. and Price, A. D. F. (2005) 'Assessing the impact of main contractor's site co-ordination on sub-contractors' performance in Hong Kong' Proceedings of the Annual Conference 2005, Association of Researchers in Construction Management, U.K

Skitmore, RM and Ng, ST, (2003) ' Forecast models for actual construction time and cost ', Building and Environment, 38 (8) 1075-83 http://dx.doi.org/10.1016/S0360-1323(03)00067-2

Ok, SC and Sinha, SK, (2006) 'Construction equipment productivity estimation using artificial neural network model', Construction Management and Economics, 24, 1029-1044 http://dx.doi.org/10.1080/01446190600851033

Sozen, Z. and Kucuk, MA, (1999) 'Secondary subcontracting in the Turkish construction industry, Construction Management and Economics, 17, 215-220

Tam, CM, Tong, TKL, Lau TCT and Chan KK, (2005) 'Selection of vertical formwork system by probabilistic neural networks models', Construction Management Economics, 23, 245-254 http://dx.doi.org/10.1080/0144619042000205912

Walker, D. (1995) 'An investigation into construction time performance, Construction Management and Economics, 13, 263-274

Wang CH. and Mei, YH, (1998) 'Model for forecasting construction cost indices in Taiwan', Construction Management and Economics, 16, 147-157 http://dx.doi.org/10.1080/014461998372457