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• W2275761346 abstract "Abstract: 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." @default.
• W2275761346 created "2016-06-24" @default.
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• W2275761346 date "2015-06-01" @default.
• W2275761346 modified "2023-09-30" @default.
• W2275761346 title "REVIEW OF BIM QUALITY ASSESSMENT APPROACHES FOR FACILITY MANAGEMENT" @default.
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• W2275761346 doi "https://doi.org/10.14288/1.0076364" @default.
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