抄録
Project process planning is implemented based mainly on the experience of engineers, which can lead to critical cost overruns and delays. This suggests a need for precise planning based on reliable data to prevent serious problems in project management. Accurately predicting productivity is one of the most important issues in process planning. In this regard, simulation methodology is considered to be an effective tool for predicting productivity. However, it is limited in terms of applications to actual sites due to modeling and coding difficulties. Although many researchers have developed various methodologies for addressing such difficulties, no study has focused on developing an optimized model for site personnel. We analyze unit cost and productivity by using a simulation technique. In addition, we standardize data by using statistical methods, and develop a database prototype. In this way, we highlight appropriate analytic and predictable methods for the construction field. In addition, the proposed statistical analysis provides objective insights into experimental construction data.
