|Title||Review of BIM Quality Assessment Approaches for Facility Management|
|Publication Type||Conference Paper|
|Year of Publication||2015|
|Authors||Zadeh, PA, Staub-French, S, Pottinger, R|
|Conference Name||ICSC15: The Canadian Society for Civil Engineering 5th International/11th Construction Specialty Conference|
|Publisher||University of British Columbia|
|Conference Location||Vancouver, Canada|
Assessing the quality of information in building information models (BIM) at the time of project handover is critical for owners. Lack of quality information in delivered BIMs can cause significant issues in using BIM for facility management purposes, potentially limiting or preventing their use in building operations. Our studies of numerous BIM projects and deliverables have found that most BIMs created for design and construction today contain significant quality issues including inaccurate, incomplete, or unnecessary information. To make these models useful for building operations requires significant adjustment to the models, which can be very time-consuming and costly. This paper describes different types of quality issues identified through numerous case studies of BIM projects and categorizes them according to different model perspectives (entity, model, and user level) and relevant facility management perspectives (assets, MEP systems, and spaces). We identify the different characteristics of each type of quality issue and then systematically analyze relevant literature in the AEC and computer science domains to put these issues in context. This analysis highlights the ambiguity in characterizing information quality issues in a BIM and demonstrates the need for a comprehensive and consistent formalization of BIM quality.