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Author

Yanglin Tan

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Oct 2026

A DfMA-Incorporating Parametric Design Approach for Enhancing Constructability in BIM-Enabled Architectural Design in Off-Site Construction

To enhance constructability in building information modeling (BIM)-enabled off-site construction (OSC) projects, integrating manufacturing, logistics, assembly, and installation demands into the architectural design stage early on is crucial. Design for manufacture and assembly (DfMA) offers a structured framework to achieve this, but often is constrained by its generality and lack of practical guidance for early design. This disconnect leads to design and manufacturing misalignments and missed optimization opportunities. To address this challenge, this study proposes a DfMA-incorporating parametric design approach that translates DfMA principles into explicit DfMA-specific design information and constraints, enabling their integration into BIM-enabled parametric modeling. Through a design science research (DSR) methodology, a DfMA-incorporating parametric design framework was developed. The framework employs a component-centric analysis perspective to organize ten categories of design information and constraints into three hierarchical levels—substance, intersection, and composition. A parametric workflow was implemented with Revit version 25.0.2.419, Dynamo version 3.0.3, and Python version 3.13.13 to automatically read, harmonize, and apply these parameters to optimize and update the building information models. This approach was validated in a small-scale OSC scenario, in which the optimization process optimized 24 BIM parameters related to DfMA-specific design information and constraints. The optimization results emphasize DfMA principles, including standardized and modular design and standardized connector configurations. The optimization primarily targets parameters related to typical component dimensions, component materials, and typical connector dimensions. This approach enhances constructability by embedding DfMA principles into BIM-enabled design and parametric modeling, and a BIM plug-in was developed to automate parameter optimization and support more-informed design decisions.

Chenghaoyu Wu, Jianing Luo, Ying Hong et al. · 0 citations
Open access Aug 2026

Discussion on Quality Model and Evaluation Methodology for WMS

Abstract. The integration of internet technologies and geographic information systems (GIS) has positioned Web Map Services(WMS) as indispensable tools for daily life, with their service quality attracting significant attention. This study proposes a quality evaluation model and method tailored for WMS, encompassing four critical dimensions: query and retrieval, map display, thematic services, and productization services. Empirical validation was conducted through functional, performance, and productization evaluations of three leading domestic platforms, utilizing technical benchmarks and user-centric metrics. Results demonstrate the model’s efficacy in quantifying service quality, aligning closely with real-world user experiences. The framework provides actionable guidelines for regulatory bodies to monitor service compliance and for providers to optimize architectural designs, thereby addressing gaps in personalization and cross-border functionalities observed in current systems. Furthermore, this work highlights the necessity of integrating emerging technologies—such as real-time traffic data and AI-driven personalization—to meet evolving demands for energy efficiency, global connectivity, and hyper-localized services. By bridging technical assessments with practical governance needs, the study offers a strategic roadmap for advancing service quality, supporting the development of China’s digital economy, and enhancing societal well-being through reliable geospatial solutions.

Wenli Han, J. Ge, Libo Zhang et al. · 0 citations