ABSTRACT Currently, various guidelines regarding building information modelling (BIM) technology policy are being developed in different countries. However, for many companies, the cost-effectiveness of BIM investment remains unclear. Some studies suggest a return on investment (ROI) as the result of cost-effective analysis calculations, which can be obtained by the introduction of BIM. However, a lack of research has led to inconsistent metrics being applied to the calculation of BIM-ROI for various types of projects. The purpose of this study is to develop a system to evaluate the performance of BIM using a K-means clustering algorithm and ROI analysis to reflect the cost-effectiveness of BIM investment. The proposed system also includes methods for determining best-case projects with high similarities from existing case projects and benchmarking their evaluation know-how, and its usability was verified through experienced BIM users.

中文翻译：

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使用K-means聚类算法的BIM性能评估系统

摘要 目前，不同国家正在制定有关建筑信息模型 (BIM) 技术政策的各种指南。然而，对于许多公司而言，BIM投资的成本效益仍不明朗。一些研究表明，投资回报 (ROI) 作为成本效益分析计算的结果，可以通过引入 BIM 获得。然而，由于缺乏研究，导致用于计算各种类型项目的 BIM-ROI 的指标不一致。本研究的目的是开发一个系统，使用 K-means 聚类算法和 ROI 分析来评估 BIM 的性能，以反映 BIM 投资的成本效益。