Quantitative impact analysis of priority policy applied to BIM-based design validation

Abstract

Building information modeling (BIM) design validation is primarily aimed at responding quickly to serious design errors. A prompt response to BIM request for information (RFI) can significantly enhance the BIM return on investment (ROI). Although prior research has identified additional factors to consider while assessing the benefits of BIM coordination, it was not possible to conduct an economic assessment. Therefore, this study fills this gap by conducting an economic assessment of the introduction of priority policies in BIM coordination using priority queue model. The findings demonstrate that the introduction of priority policies can impact the optimal BIM staffing and the engineers' waiting cost for high-priority RFIs. We quantify the BIM ROI that can be improved by introducing the priority policy in BIM coordination, using time and cost metrics derived from the queue model.