Optimized decision support for BIM maturity assessment

Zhen Song Chen, Meng Die Zhou, Kwai Sang Chin, Amos Darko, Xian Jia Wang, Witold Pedrycz

Research output: Journal article publicationJournal articleAcademic researchpeer-review

64 Citations (Scopus)

Abstract

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.

Original languageEnglish
Article number104808
JournalAutomation in Construction
Volume149
DOIs
Publication statusPublished - May 2023

Keywords

  • BIM maturity assessment system
  • Large-scale group decision-making
  • Optimized aggregation
  • Probability distribution function
  • Project-based assessment

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Civil and Structural Engineering
  • Building and Construction

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