TY  - CONF
TI  - Predicting Performance Indicators Using BIM and Simulation for a Wall Assembly Line
C1  - Dublin, Ireland
C3  - Proc. 27th Annual Conference of the International Group for Lean Construction (IGLC)
SP  - 853
EP  - 862
PY  - 2019
DO  - 10.24928/2019/0250
AU  - Brown, Ryan
AU  - Barkokebas, Beda
AU  - Ritter, Chelsea
AU  - Al-Hussein, Mohamed
AD  - M.Sc. Student, Department of Civil and Environmental Engineering, University of Alberta, Edmonton, Alberta, Canada, rabrown@ualberta.ca
AD  - PhD Student, Department of Civil and Environmental Engineering, University of Alberta, Edmonton, Alberta, Canada, barkokebas@ualberta.ca
AD  - PhD Student, Department of Civil and Environmental Engineering, University of Alberta, Edmonton, Alberta, Canada, critter1@ualberta.ca
AD  - Professor, Department of Civil and Environmental Engineering, University of Alberta, Edmonton, Alberta, Canada, mohameda@ualberta.ca
AB  - Off-site home construction allows for the construction of building components to be completed in an off-site facility. The floors, walls, and roof are constructed on separate production lines, then shipped together to site for installation. This type of home construction presents a good opportunity to utilize lean manufacturing principles allied with simulation methods to better industrialize the home building process. This paper presents a case study of a well-known panelized residential home manufacturer, where the focus is the wall assembly line. Multiple key performance indicators (KPIs) are calculated in order to forecast production for each project and key result indicators (KRIs) are used to predict the outcomes of multiple projects. The predicted performance indicators are found through a simulation model of the production line using quantity take-offs extracted from BIM models. The analysis of these performance indicators will be used to evaluate project feasibility when the project is built in an off-site construction facility.
KW  - Lean construction
KW  - off-site construction
KW  - performance indicators
KW  - computer simulation
KW  - variability.
PB  - 
T2  - Proc. 27th Annual Conference of the International Group for Lean Construction (IGLC)
DA  - 2019/07/03
CY  - Dublin, Ireland
L1  - http://iglc.net/Papers/Details/1726/pdf
L2  - http://iglc.net/Papers/Details/1726
N1  - Export Date: 16 April 2024
DB  - IGLC.net
DP  - IGLC
LA  - English
ER  -