Abstract
ABSTRACT Application of BIM plays a key role in the practices of architecture, engineering and construction. Evaluating and improving BIM application capability have important effects on increasing BIM performance and enhancing the benefits of BIM usages. To evaluate the BIM application capability of construction enterprises, this study proposed an evaluation model based on interval grey cluster analysis (IGCA). Firstly, the study constructed an assessment index system of BIM application capability from three dimensions, including technical, organization and management, and human aspect. Secondly, BIM application capability and its evaluation index were divided into four levels. Thirdly, in order to determine the index weights, the interval-entropy weight method was applied. Then IGCA was applied to identify the BIM application capability. Finally, a case study was conducted to explain the application of the proposed model and to verify the validity of the model. The results indicated that the evaluation model could provide a new way to evaluate and improve BIM application capabilities.
Highlights
In recent years, Building Information Modeling (BIM) has experienced a rapid development in China (Wu et al 2017) and become more common application in con struction projects (Lin and Yang 2018)
According to Equation (15) and the ordering method introduced in Section 3.1.2, the BIM application cap ability of the enterprise was found at level 2- Integrate BIM, which is consistent with the Chinese construction industry’s qualitative assessment on BIM application capability of company A
We fed the results back to the BIM managers and BIM engineers of the enterprise to discuss with them, all of the interviewees stated that the evaluation results were the same as their expected BIM application capability level
Summary
In recent years, Building Information Modeling (BIM) has experienced a rapid development in China (Wu et al 2017) and become more common application in con struction projects (Lin and Yang 2018). As the second revolution in the Architecture, Engineering and Construction (AEC) industry, Building Information Modeling (BIM) has been considered to be the most promising recent developments (Lin, Lee, and Yang 2016) as well as the leading technology for use in AEC practices (GhaffarianHoseini et al 2017). It has a critical role in enhancing the effectiveness of project delivery from the initial concept to completion and postconstruction maintenance (Ding, Zhou, and Akinci 2014; Volk, Stengel, and Schultmann 2014), and has a significant impact on the efficiency of generation of building information and sharing of this information among various stakeholders throughout the building lifecycle (Yilmaz, Akcamete-Gungo, and Demirors 2017).
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