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UMD Theses and Dissertations
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|Title: ||ESTIMATING THE IMPACT OF BUILDING INFORMATION MODELING (BIM) UTILIZATION ON BUILDING PROJECT PERFORMANCE|
|Authors: ||Parvan, Kiavash|
|Advisors: ||Haghani, Ali|
|Department/Program: ||Civil Engineering|
|Sponsors: ||Digital Repository at the University of Maryland|
University of Maryland (College Park, Md.)
|Subjects: ||Civil engineering|
|Keywords: ||Building Information Model (BIM)|
Information Technology (IT)
|Issue Date: ||2012|
|Abstract: ||Many benefits of utilizing the Building Information Modeling (BIM) technology have been recognized and reported in the Architectural, Engineering and Construction (AEC) industry literature. However, it seems that the construction industry still hesitates to fully adopt BIM. As some researchers suggest, the root cause may be in the lack of understanding of whether and how BIM improves project outcomes. This research aims to shed some light on this matter by studying the impact of BIM utilization on building project performance.
This research follows a model-based approach as opposed to statistically analyzing the project outcomes with and without BIM utilization. The construction project supply chain is modeled at the design and construction activity level to represent the project behavior in terms of cost over time. As traditional project management tools as well as statistical methods are not able to consider the dynamic nature of the projects such as feedbacks, time delays and non-linear relationships, this research uses system
dynamics methodology to model the project supply chain. The project supply chain model is calibrated with two sets of the projects; with BIM and without BIM. The two calibrated models, Non-BIM and BIM-utilized, are used to estimate the outcomes of a
hypothetical set of the projects. The outcomes are compared in terms of the project performance indexes to analyze the BIM impact on the project performance.
Since relatively few projects that utilized BIM were found, this research employs expert elicitation (EE) technique to capture the required knowledge from the industry to estimate the parameters of the BIM-utilized model. The EE is used to build a causal model to capture the impact of BIM utilization on the Non-BIM project model
parameters in the absence of sufficient BIM-utilized project data.|
|Appears in Collections:||UMD Theses and Dissertations|
Civil & Environmental Engineering Theses and Dissertations
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