Evaluation of Influencing Factors of Construction Cost Control Based on Intelligent Construction Site

Baolin Duan (), Yebing Wang (), Guangjie Liu (), Weixiao Wang and Xuelei Zhou
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Baolin Duan: School of Changchun Institute of Technology
Yebing Wang: School of Changchun Institute of Technology
Guangjie Liu: School of Changchun Institute of Technology
Weixiao Wang: School of Changchun Institute of Technology
Xuelei Zhou: School of Changchun Institute of Technology

Chapter Chapter 31 in Proceedings of the 28th International Symposium on Advancement of Construction Management and Real Estate, 2024, pp 441-453 from Springer

Abstract: Abstract With the rapid development of information technology in China’s construction industry, intelligent construction sites emerge. The State has issued a series of policies emphasizing on vigorously promoting research and development, manufacturing and application of advanced manufacturing equipment, intelligent equipment and related equipment on smart sites. On the basis of smart site, this paper takes influencing factors of project cost control as research object, carries out a lot of literature reading and field investigation, sorts out 20 representative influencing factors, invites experts to score each factor by Delphi method, and calculates weights of influencing factors by ISM-AHP method. The analysis shows that project management experience and system, the proportion of training fee for smart site personnel to total cost are the deepest factors affecting the cost control of smart site. Material utilization ratio, real-name passage fee to total cost ratio and enterprise management fee to total cost ratio are the most direct and most important factors affecting the cost control of smart site. An example is given to verify the feasibility and reliability of the model. Finally, based on the results of the study, reasonable and effective cost control measures and suggestions are put forward to provide reference for the development of smart sites, so as to improve the progress and quality of the project.

Keywords: Smart site; Cost control; Analytic hierarchy process; Interpretative structural modeling method (search for similar items in EconPapers)
Date: 2024
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DOI: 10.1007/978-981-97-1949-5_31

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