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|Title:||Construction productivity of precast concrete installation on site||Authors:||Ting, Darren Weiwen.||Keywords:||DRNTU::Engineering::Civil engineering::Construction management||Issue Date:||2012||Abstract:||Construction productivity has always been a topic of keen interest among contractors in the industry, largely attributing to the fact that productivity influences costs, eventually translating to profits/losses made on a project. The use of precast concrete components in construction projects has been known to improve construction productivity, by means of reducing the overall number of workers required for specific tasks while improving construction time. However, little has been done to ascertain and evaluate productivity figures for precast installation on site for residential projects. Thus, this report and the research surrounding it aims to examine the factors affecting the installation cycle and present findings on typical cycle times based on conventional deterministic models. Based on the cycle times, the productivity of installation will also be measured. Cycle time is predicted by formulating equations comprising of the durations required for the installation processes that constitute to the entire cycle. In order to do so, the installation processes have to be meticulously defined for relevant data to be collected, before being factored into the formulas. With the cycle time data available, a productivity model can be developed to predict the efficiency level of the precast installations. The variables affecting both cycle times and productivity will be narrowed down in scope from a broad spectrum, and key relationships between them and the cycle time/productivity figures will be explored. The more impactful quantifiable factors are examined so that correlations can be derived for a better understanding of how they relate to one another. Through this research, it is intended that contractors can use the information as a benchmark for evaluating the efficiency of their precast installation work and even to help in the planning of work schedules.||URI:||http://hdl.handle.net/10356/49081||Rights:||Nanyang Technological University||Fulltext Permission:||restricted||Fulltext Availability:||With Fulltext|
|Appears in Collections:||CEE Student Reports (FYP/IA/PA/PI)|
Updated on Jan 18, 2021
Updated on Jan 18, 2021
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