Big Data Analytics for Construction Progress Management
學年 114
學期 1
出版（發表）日期 2025-09-03
作品名稱 Big Data Analytics for Construction Progress Management
作品名稱（其他語言）
著者 Hsu-Hua Lee; C.F. Chen
單位
出版者
著錄名稱、卷期、頁數 Engineering Proceedings 108(1), 28
摘要 Construction projects face growing public environmental awareness, a shortage of skilled workers, and increasingly stringent legal regulations. Although construction technologies are advancing, construction progress management remains context-dependent, involving a complex construction process with numerous variables and uncertainties. Therefore, an effective management model is necessary to control construction progress. By applying statistical methods, we enhanced the efficiency and accuracy of construction progress management. By utilizing artificial intelligence and big data analytics, we established a management program that empowers construction management teams to predict construction progress conveniently, manage human resources effectively, identify risk management issues, and control costs. The program improves the success rate of on-time project completion and the efficient use of resources.
關鍵字 big data analytics; construction progress management; risk management; efficient resource utilization
語言 en
ISSN 2673-4591
期刊性質 國內
收錄於
產學合作
通訊作者
審稿制度 是
國別 USA
公開徵稿
出版型式 ,電子版,紙本
相關連結

機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/128033 )