2019 CSCE Annual Conference - Laval (Greater Montreal) Conference
Dr. SangHyeok Han
Dr. Osama Moselhi, Concordia University, BCEE
Dr. Zhen Lei
Mr. Claudio Raimondi
The approach of penalized construction has been widely adopted in the construction industry for better productivity and project cost reduction. To maximize the advantages of the penalized construction, a production line needs to be improved continuously and the part of the improvement is planning. However, planning for the production line can be challenged for new panelized construction projects when a production rate of the production line is not accurate or available. In practice, companies still rely on the experience of practitioners to forecast the productivity of the production line for planning. This practice may lead to result in low productivity and cost increase due to unbalanced production line and inefficient resource utilization. To overcome these challenges, this paper proposes a simulation-based method which predicts the productivity of the production line using a simulation support based on results of historical time study. Time study was conducted to investigate the current production line process and to identify wall design specifications such as number of studs and door / window area, which affects the cycle time of workstations. As a result, the task time formula is developed using multiple linear regression techniques in order to improve the prediction of the cycle time of work stations. The proposed methodology uses the task time formula and design specifications as inputs in the simulation model to forecast the production rate. The proposed methodology has been validated in a light gauge steel (LGS) panelized construction project located in Edmonton. The proposed simulation-based method predicts the productivity of the production line as 1.8 panels/hour or 16 panels/day.