TECHNICAL PAPERS
Jan 22, 2011

Short-Interval Dynamic Forecasting for Actual S-Curve in the Construction Phase

Publication: Journal of Construction Engineering and Management
Volume 137, Issue 11

Abstract

Traditional approaches for cost forecasting tend to utilize a single model for the entire construction period. However, a construction project, consisting of different stages, will incur different costs, which may not be accurately captured by a single model. Gates separated the S-curve into three periods. Utilizing the same approach, the accuracy of cost forecasting can be improved by dividing the entire duration of a construction project into three periods. Therefore, this research aims at improving the traditional Grey prediction model by defining the suitable α instead of using 0.5. This new technique applies the golden section and bisection method to optimize α and build the short-interval cost-forecasting model. In each period of the construction phase, a customized optimization-forecasting model is used to estimate each short-interval cost. The proposed models should more closely predict the short-interval cost, which can be utilized to more accurately forecast the expenditure of the subsequent month within each period.

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Go to Journal of Construction Engineering and Management
Journal of Construction Engineering and Management
Volume 137Issue 11November 2011
Pages: 933 - 941

History

Received: Aug 12, 2010
Accepted: Jan 20, 2011
Published online: Jan 22, 2011
Published in print: Nov 1, 2011

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Authors

Affiliations

Ying-Mei Cheng [email protected]
Assistant Professor, Dept. of Civil Engineering and Hazard Mitigation Design, China Univ. of Technology, 56 Hsing-Lung Rd., Section 3, Taipei, 116, Taiwan, ROC (corresponding author). E-mail: [email protected]
Chih-Han Yu [email protected]
Research Assistant, Dept. of Civil Engineering and Hazard Mitigation Design, China Univ. of Technology, 56 Hsing-Lung Rd., Section 3, Taipei, 116, Taiwan, ROC. E-mail: [email protected]
Huai-Tien Wang [email protected]
Associate Professor, Dept. of Marketing and Logistics, China Univ. of Technology, 56 Hsing-Lung Rd., Section 3, Taipei, 116, Taiwan, ROC. E-mail: [email protected]

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