The construction industry has been encountering critical issues in project delays. Fortunately, technological advances, such as the building information modeling (BIM), offer potential solutions.
This report aims to establish a BIM-integrated framework that can be used to provide data-driven scheduling decisions for construction management. The study explores the intersection of the construction and data analytics domains. The framework captures operational data from a BIM model and put them into a machine learning algorithm to facilitate prediction.
(This article is an excerpt from my Master's research at Michigan State University and is a piece of intellectual property, Please provide appropriate references while citing the work. Use the link https://goo.gl/827Zs8 to access the full report.)