Smart Construction Management through Integration of BIM and IoT for Reducing Material Waste and Optimizing Costs in Construction Projects
Pages 7-22
https://doi.org/10.22034/ats.2025.2074645.1014
Amir Eskandari, Mahdi Sadeghzadeh Tabrizi, Behnam Heidari Param
Abstract Extended Abstract
Aims: In recent years, the construction industry has faced significant challenges such as rising costs, frequent project delays, and considerable resource waste issues that become even more critical in large and complex projects. To address these problems, researchers and project managers have increasingly turned to advanced technologies, particularly Building Information Modeling (BIM) and the Internet of Things (IoT). Numerous studies indicate that integrating these technologies can substantially enhance productivity, reduce costs, improve construction quality, and enable more accurate project management. Building Information Modeling (BIM), as a digital and data-driven approach, provides comprehensive tools for designing, analyzing, simulating, and managing the entire lifecycle of a project. By generating detailed data-rich 3D models, BIM enables better prediction and analysis of clashes, improved resource allocation, optimized scheduling, and minimized construction errors. On the other hand, the Internet of Things (IoT), through the use of sensors, smart devices, and communication networks, delivers real-time and precise data regarding the actual conditions of the project including environmental states, equipment performance, and workforce activity. When these two technologies are combined, a smart ecosystem is created, allowing automated, data-driven monitoring, control, and decision-making within construction projects. Despite their benefits, the integration of BIM and IoT comes with several challenges. One of the most significant barriers is data integration, due to diverse data sources, varying standards, and the complexity of large data volumes, all of which require sophisticated information management mechanisms. Additionally, concerns about cybersecurity, high initial implementation costs, and the need for specialized workforce training pose further obstacles to wide-scale adoption. Therefore, further research is essential to provide accurate and practical solutions. The primary aim of this study is to investigate how the integration of BIM and IoT can enhance productivity and optimize construction project performance. This research examines the benefits, challenges, and implementation strategies of these technologies and proposes a practical framework for improving construction management. The findings can serve as a valuable resource for project managers, engineers, consultants, and researchers, enabling more informed decision-making, more efficient project execution, and the development of innovative approaches in construction management.
Materials & Methods: This applied analytical research, designed with a descriptive–analytical approach, aims to examine the effects of integrating Building Information Modeling (BIM) and the Internet of Things (IoT) on cost optimization, reduction of material waste, and improvement of productivity in construction projects in Iran. The study employs a mixed-methods design, with data collected through documentary sources, field surveys, digital monitoring tools, and quantitative–qualitative analyses. The statistical population consisted of medium and large construction projects in Iran utilizing at least one of the technologies, BIM or IoT. Five real projects in Tabriz and Tehran were purposefully selected, from which data on scheduling, material consumption, execution errors, and IoT sensor information were gathered. Data collection followed four main procedures: field observations, extraction of BIM data, real-time IoT sensing, and conducting interviews and questionnaires with project managers and engineers. This combination enabled a precise assessment of the technologies’ impact on project quality, efficiency, and cost. Quantitative data were analyzed using Excel and SPSS, focusing on indicators such as material waste, schedule deviations, actual project costs, rework rates, and energy consumption. Qualitative data obtained from semi-structured interviews were analyzed through thematic analysis, leading to categories such as design sustainability, user–space interaction, architectural innovation, and managerial impacts of digital technologies. To ensure validity, triangulation was applied by comparing quantitative data with field observations, technical documents, and expert insights. Findings revealed that BIM–IoT integration can reduce material waste by 12%, energy consumption by 16.7%, and execution costs by 15%. Improved team coordination, reduced rework, and enhanced spatial quality also emerged as major benefits.
Finally, a conceptual framework for smart project management was developed, incorporating three core components:
(1) BIM as a tool for simulation and design accuracy;
(2) IoT as a system for real-time monitoring of energy and material usage;
(3) The integrated BIM–IoT ecosystem as a basis for intelligent decision-making to enhance quality, optimize resources, and reduce costs in Iranian construction projects.
Findings: The findings of this study examine the impact of modern technologies such as BIM and IoT on the performance of architectural and construction projects in Iran. Both quantitative and qualitative results demonstrate that these technologies significantly influence four major dimensions: energy optimization, spatial quality, economic efficiency, and sustainable design. In terms of energy optimization, quantitative analysis revealed that the use of BIM and IoT reduced average energy consumption from 210 to 175 kWh/m², representing a 16.7% savings. Qualitative data further indicated that project managers attribute this improvement to enhanced performance of energy systems and reduced energy waste. These results highlight the strong predictive effect of smart technologies on energy management. Regarding spatial quality and user satisfaction, BIM-based projects reported a remarkable improvement, with satisfaction levels rising from 2.8 in traditional projects to 4.1 in smart projects on a five-point Likert scale. Interview insights show that collaborative design, 3D visualization, and interactive modeling through BIM played a critical role in enhancing users’ spatial experiences and engagement. In the economic efficiency dimension, the adoption of digital technologies led to a reduction in rework costs from 120 million rials to 102 million rials, resulting in 15% savings. A significant positive correlation (r = 0.61) between BIM implementation and cost reduction suggests that resource management in smart projects is more precise and effective. These technologies therefore serve as predictive tools for budget planning and financial risk reduction. In terms of innovation and sustainability, the study found that modern technologies improved environmental sustainability indicators by 40%. These indicators include ventilation (12%), daylight performance (9%), water consumption reduction (7%), and construction waste reduction (12%). Qualitative findings further emphasize that BIM and IoT not only enhance sustainable design processes but also foster innovation in creating intelligent and environmentally adaptive spaces. Overall, the results indicate that integrating digital technologies into architectural projects in Iran can substantially reduce energy consumption, enhance spatial quality, lower operational costs, and improve sustainability performance. Statistical analyses such as t-tests, Pearson correlations, and confirmatory factor analysis validate these findings and confirm the predictive potential of these technologies in improving future project outcomes.
Conclusion: The main objective of this research is to examine the impact of modern technologies particularly Building Information Modeling (BIM) and the Internet of Things (IoT) on optimizing the design, execution, and management processes of architectural projects in Iran. The findings reveal that integrating these technologies significantly enhances project quality, reduces costs, improves managerial accuracy, and strengthens sustainability indicators. In the design phase, BIM enables the simulation of various scenarios, prediction of building performance, and precise resource planning. By providing detailed three-dimensional models and pre-construction analyses, BIM substantially reduces design errors. Meanwhile, IoT collects real-time data on building performance, energy consumption, ventilation, and heating/cooling systems, allowing intelligent automated management. The combination of both technologies leads to reduced energy consumption, controlled operation of mechanical systems, and minimized resource waste. Regarding spatial quality, the use of digital technologies improves user satisfaction with architectural spaces. Data gathered through IoT and analyzed within BIM enhances daylighting, natural ventilation, and spatial accessibility, reinforcing user-centered design. This results in improved spatial experience, fewer execution issues, and better alignment of design outcomes with real user needs. Economically, the integration of BIM and IoT reduces rework costs, design revisions, and on-site execution errors. Although initial implementation may be costly, long-term savings in energy, materials, and resource management ultimately compensate for the investment. More accurate estimation of materials and improved cost prediction also reduce financial risks during project delivery. From a sustainability perspective, the findings indicate that these technologies positively influence key environmental indicators such as natural ventilation, optimal daylighting, reduced construction waste, and lower water consumption. Field observations and expert reviews further validate the scientific and practical credibility of these results. In the limitations section, the study acknowledges methodological and practical challenges, including limited field samples, reliance on simulated data rather than real project data, insufficient advanced statistical analyses, lack of detailed modeling of costs and material usage, and the need for further refinement of the conceptual framework. Future studies are encouraged to utilize broader datasets, real project information, advanced analytical methods, and comprehensive cost modeling to develop an applicable framework for reducing material waste and improving construction management in real-world architectural projects in Iran.




