EconPapers    
Economics at your fingertips  
 

Cost control method of assembled building construction under digital technology

Yu Zhang

International Journal of Sustainable Development, 2024, vol. 27, issue 3, 325-338

Abstract: In order to solve the shortcomings of the existing cost control methods for assembled building, such as the project cost is higher than expected and the cost control deviation is large, this paper proposes a cost control method for assembled buildings under digital technology. First, the construction cost data of assembled building are collected and preprocessed. Secondly, the data characteristics of the construction cost of assembled building are extracted, and the construction cost estimation model of assembled building is built using support vector mechanism. Finally, the kernel function is introduced to control the construction cost of assembled building. After verification, it was demonstrated that the application of this method for cost control resulted in an EV greater than AC, a cost performance index (CPI) value greater than 1, and a final cost control deviation of 260,000 yuan. Small deviation, effective cost control methods.

Keywords: digital technology; assembled building; SVM; support vector machine; RBF; radial basis function; cost control deviation. (search for similar items in EconPapers)
Date: 2024
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.inderscience.com/link.php?id=140012 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ids:ijsusd:v:27:y:2024:i:3:p:325-338

Access Statistics for this article

More articles in International Journal of Sustainable Development from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().

 
Page updated 2025-03-19
Handle: RePEc:ids:ijsusd:v:27:y:2024:i:3:p:325-338