Cycle Time Analysis of Precast Concrete Installation by Artificial Neural Networks

Precast concrete elements are generally used to provide faster project duration and higher quality construction projects. These elements are widely used in residential and commercial buildings across Singapore. However, there are many factors affecting productivity of precast construction which should be considered to provide more accurate estimates of activities such as production and erection of precast elements. The main objective of this study is to assess the productivity and analyze the cycle time for precast erection process using Artificial Neural Networks (ANN). Primary data for the study were collected through site visits. High prediction capability of the develop ANN showed the potential use of such a technique by construction managers and general estimators for their scheduling purposes

کلیدواژه ها:

Productivity Analysis ، Precast Concrete ، Construction Management ، Artificial Neural Networks