DocumentCode :
239584
Title :
BIM-based data mining approach to estimating job man-hour requirements in structural steel fabrication
Author :
Xiaolin Hu ; Ming Lu ; AbouRizk, Simaan
Author_Institution :
Dept. of Civil & Environ. Eng., Univ. of Alberta, Edmonton, AB, Canada
fYear :
2014
fDate :
7-10 Dec. 2014
Firstpage :
3399
Lastpage :
3410
Abstract :
In a steel fabrication shop, jobs from different clients and projects are generally processed simultaneously in order to streamline processes, improve resource utilization, and achieve cost-effectiveness in serving multiple concurrent steel-erection sites. Reliable quantity takeoff on each job and accurate estimate of shop fabrication man-hour requirements are crucial to plan and control fabrication operations and resource allocation on the shop floor. Building information modeling (BIM), is intended to integrate multifaceted characteristics of a building facility, but finds its application in structural steel fabrication largely limited to design and drafting. This research focuses on extending BIM´s usage further to the planning and control phases in steel fabrication. Using data extracted from BIM-based models, a linear regression model is developed to provide the man-hour requirement estimate for a particular job. Actual data collected from a steel fabrication company was used to train and validate the model.
Keywords :
buildings (structures); construction; data mining; regression analysis; resource allocation; steel industry; steel manufacture; BIM-based data mining approach; BIM-based model; building facility; building information modeling; concurrent steel-erection site; iman-hour requirement estimate; job man-hour requirement; linear regression model; plan and control fabrication operation; resource allocation; resource utilization; shop fabrication man-hour requirement; shop floor; steel fabrication company; steel fabrication shop; streamline process; structural steel fabrication; Data models; Fabrication; Materials; Planning; Productivity; Solid modeling; Steel;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Simulation Conference (WSC), 2014 Winter
Conference_Location :
Savanah, GA
Print_ISBN :
978-1-4799-7484-9
Type :
conf
DOI :
10.1109/WSC.2014.7020173
Filename :
7020173
Link To Document :
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