A Critical Review of Measuring the Modeling Productivity of Building Information Modeling

Abstract

This study aims to identify indicators to measure the productivity of building information modeling (BIM) through a critical literature review of previous studies on BIM productivity and the factors used in the studies. Measuring BIM productivity, to which end quite a few efforts have been made, is important for efficient workforce management. The authors reviewed 14 papers collated from Scopus and Google Scholar. Examples of topics included productivity factors related to 2D/3D design modeling. Previous studies on BIM productivity have followed the definition of productivity as output/input. The input and output of BIM productivity indicators were classified according to the research purpose of the 14 previous studies. Among the BIM productivity indicators suggested in 14 previous studies, the most frequently used BIM productivity indicators were output as time and input as the number of elements in the 3D model. Among the factors affecting BIM productivity, modeling time was the most commonly considered. Other factors included model quality, modeling behavior, project size, model size and model review.