成熟度(心理)
能力成熟度模型
建筑信息建模
过程(计算)
功能(生物学)
工程类
过程管理
系统工程
风险分析(工程)
计算机科学
运营管理
业务
软件
发展心理学
进化生物学
调度(生产过程)
生物
程序设计语言
操作系统
心理学
作者
Zhen‐Song Chen,Meng-Die Zhou,Kwai‐Sang Chin,Amos Darko,Xianjia Wang,Witold Pedrycz
标识
DOI:10.1016/j.autcon.2023.104808
摘要
Building information modeling (BIM) maturity models occupy a crucial role in guiding BIM-reliant stakeholders and enterprises to identify BIM capabilities and facilitate process improvements. Nevertheless, few quantitative BIM maturity models are available for the measurement and improvement of BIM utilization performance. This study designs a refined assessment system for the maturity measurement of BIM-based projects during the design and construction stages. The advocated BIM maturity model combines a probability distribution function aggregation paradigm and a large-scale group decision-making framework to provide an expert-based assessment system for evaluating project-based BIM performance. The case study of the Corning Gen 10.5 glass substrate production line workshop in Wuhan demonstrates the feasibility and effectiveness of the proposed model. This paper establishes a generalizable structural framework that can potentially facilitate BIM maturity analysis in a portfolio of projects or the industry as a whole and will generate fresh insight into designing quantitative BIM maturity models across various contexts.
科研通智能强力驱动
Strongly Powered by AbleSci AI