Aug 2026· Applied Sciences· Vol 16, pp. 7937· 0 citations· 34 references
Abstract
Modular construction requires a comprehensive assessment of the quality of design solutions, taking into account interconnected architectural, production, logistical, and digital factors at all stages of the lifecycle. Existing approaches, including Design Quality Indicator (DQI), Life Cycle Assessment (LCA), and Design for Manufacturing and Assembly (DFMA), focus on individual aspects and do not provide an integrated assessment, necessitating the development of a comprehensive methodology. The aim of this study is to develop a BIM-oriented design quality assessment system for modular facilities (DQIMC), providing a quantitative and partially automated assessment based on information model data. The methodology is based on the formation of a hierarchical system of criteria and indicators, their classification by automation level (machine-readable, partially automated, expert), and integration with BIM model parameters in industry foundation classes (IFC). Criteria weighting factors are determined using the analytic hierarchy process (AHP). The integrated quality indicator is calculated based on a weighted sum of standardized values. The test was conducted on a sample of five BIM models. The results showed that DQIMC values ranged from 0.73 to 0.91, with the greatest impact coming from the information quality of the BIM model and manufacturing and design characteristics, as confirmed by correlation analysis. The proposed system provides a reproducible quality assessment and creates a foundation for digitalizing the design of modular facilities, improving the validity of decisions and the effectiveness of lifecycle management.
With the advancement of modular integrated construction (MiC), transportation has emerged as a critical link in the construction supply chain, directly impacting project cost, schedule, and safety. While design for manufacture and assembly (DfMA) prioritizes factory production and on-site assembly efficiency, it ofte...
Yukun Zhai, Yu-Nan Li, Xiao-Xue Su et al.· Journal of construction engi...· 0 citations
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A BIM-integrated Digital Inspection and Testing System to improve construction quality management through the integration of Building Information Modelling, Novade, and business intelligence platforms, which has the potential to reduce documentation redundancy, improve quality traceability, minimize rework, and strengt...
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The reviewed studies indicate that BIM-AI workflows may improve planning efficiency, estimation accuracy, and resource allocation, but still faces challenges related to software interoperability, data quality, interdisciplinary coordination, and the limited integration of explicit sustainability indicators within optim...
Serena Vitaliano, Stefano Cascone, C. Arcidiacono· Sustainability· 0 citations
The use of Building Information Modeling (BIM) in quantification has improved the efficiency and accuracy of estimation within construction projects. BIM quantity methods have remained limited to differences and accuracy measurements, without providing adequate support for project control decisions. In project manageme...
Sultan N. Alkarawi· Bilad Alrafidain Journal for...· 0 citations
Decisions made at the early stage of the design process have a substantial influence on the environmental, socio-economic, and technical performance of a building throughout its life cycle. Although an early-stage sustainability assessment is essential to achieving climate-neutral and nearly zero-energy buildings, its...
T. Vilutienė, D. Kalibatienė, V. Šarka et al.· Buildings· 0 citations
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