Palaneeswaran, E; Love, P E D; Kumaraswamy, M M and Ng, T S T (2008) Mapping rework causes and effects using artificial neural networks. Building Research & Information, 36(5), pp. 450-465. ISSN 0961-3218
Abstract
Rework can have adverse effects on the performance and productivity of construction projects. Techniques such as artificial neural networks (ANN) are widely used for prediction and classification problems and thus can be used to map the causes and effects of rework. The traditional back propagation neural network and general regression neural network data from 112 Hong Kong construction projects are used to examine the influence of rework causes on the various project performance indicators such as cost overrun, time overrun, and contractual claims. The results from this research could be used to develop forecasting systems and appropriate intelligent decision support frameworks for enhancing performance in construction projects. Furthermore, analysis of the neural network results indicates that the general regression neural network architecture is better suited for modelling rework causes and their impacts on project performance.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | construction projects; cost overrun; productivity; project performance; rework; time overrun |
| Index terms: | modelling, project performance, construction project, mapping, artificial neural network, neural network, back propagation, cost overrun, rework, productivity, decision support, time overrun, forecasting, Hong Kong |
| Subjects: | artificial intelligence, prediction and forecasting, analytical methods, financial and cost management, modelling and simulation, operations management, project controls, decision analysis, Geography, production management, project management theory and practice, management, spatial and geospatial analysis, algorithms |
| Topics: | Risk Management, Engineering Principles, Project Management, Geographical Context, Research Practice, Business Strategy, Cost Management, Time Control, Digital Applications |
| Descriptive scope: | 3 PCA |
N.B. Descriptive scope is a count of how many of the five facets of empirical research are indicated by the words used in title, abstract and keywords. It is not intended as a judgement on the research; merely a count of the kind of word we would expect to indicate Phenomenon, Concepts, Theoretical framing, Empirical techniques, Analytical techniques. If all five are present, then a code of “5 PCTEA” will indicate this. If you feel the coding for this record is questionable, we welcome discussion around the terms we matched or the way we categorized them. The facet you would expect may not be coded, or a facet may be coded inappropriately. This can also bear on a larger question, of which facets should be treated as defining in construction management research. Please get in touch, and we will look at it. More details here