Scholarlink

<p>The global construction industry is experiencing a significant shift toward sustainability, driven by the need to reduce environmental impacts, improve cost efficiency, and optimize resource use. In this context, the integration of building information modeling (BIM) with life cycle costing (LCC) has emerged as a reliable method to evaluate long-term economic sustainability in construction. In India, growing urbanization and infrastructure demand have highlighted the need for cost-effective and environmentally responsible construction methods, with precast systems offering notable advantages over traditional cast-in-situ techniques. This study begins with a bibliometric analysis using scopus and web of science databases to explore global and national research trends in LCC, BIM, and sustainable construction. Based on the literature and expert input, the study aims to develop an integrated LCC-BIM framework to evaluate and compare the economic sustainability of precast and cast-in-situ construction methods. The analytic hierarchy process is applied to identify and prioritize five key economic attributes: cost management, energy efficiency, material optimization, environmental impact, and technological integration. This study presents a comprehensive evaluation framework integrating the analytic hierarchy process (AHP) and the entropy method to assess economic sustainability in precast and cast-in-situ construction. Five major attributes were identified: construction cost (weight: 43.2%), energy efficiency (23.9%), material optimization (15.7%), environmental impact (10.00%), and technological integration (7.2%). Sub-attribute rankings were derived using Entropy, with “Renewable Energy Usage” and “Lightweight Construction Materials” being the top contributors. The findings show that precast building construction (PC) is 8.5% more cost-effective over its life cycle than cast-in-situ (CIS) construction, primarily due to lower operation and demolition costs. This hybrid multi-criteria decision-making-based framework offers a data-driven and expert-informed model suitable for sustainable decision-making in India’s evolving construction sector. Furthermore, the entropy method is used to objectively weight 45 sub-attributes, enhancing the robustness of the analysis. A structured expert questionnaire was used for pairwise comparisons, and the resulting weights were integrated into a BIM-based LCC model tailored to developing country conditions. The comparative analysis indicates that precast buildings generally outperform CIS methods in terms of LCC, operational efficiency, and demolition economics. While data limitations and standardization challenges persist, the proposed framework offers a comprehensive and replicable approach to support economic decision-making in sustainable construction. The findings are valuable for developers, planners, policymakers, architects, and sustainability professionals, enabling more informed and resource-efficient construction strategies aligned with national and global sustainability goals.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Integration of BIM-LCC for evaluation of sustainable construction methods using AHP and entropy

  • 期刊论文

  • 发表日期：

    2025年10月27日

查看全文
  • Durgesh M. Solapure,
  • Gayatri S. Vyas,
  • Rupa S. Dalvi,
  • Chaitali K. Nikhar

摘要

The global construction industry is experiencing a significant shift toward sustainability, driven by the need to reduce environmental impacts, improve cost efficiency, and optimize resource use. In this context, the integration of building information modeling (BIM) with life cycle costing (LCC) has emerged as a reliable method to evaluate long-term economic sustainability in construction. In India, growing urbanization and infrastructure demand have highlighted the need for cost-effective and environmentally responsible construction methods, with precast systems offering notable advantages over traditional cast-in-situ techniques. This study begins with a bibliometric analysis using scopus and web of science databases to explore global and national research trends in LCC, BIM, and sustainable construction. Based on the literature and expert input, the study aims to develop an integrated LCC-BIM framework to evaluate and compare the economic sustainability of precast and cast-in-situ construction methods. The analytic hierarchy process is applied to identify and prioritize five key economic attributes: cost management, energy efficiency, material optimization, environmental impact, and technological integration. This study presents a comprehensive evaluation framework integrating the analytic hierarchy process (AHP) and the entropy method to assess economic sustainability in precast and cast-in-situ construction. Five major attributes were identified: construction cost (weight: 43.2%), energy efficiency (23.9%), material optimization (15.7%), environmental impact (10.00%), and technological integration (7.2%). Sub-attribute rankings were derived using Entropy, with “Renewable Energy Usage” and “Lightweight Construction Materials” being the top contributors. The findings show that precast building construction (PC) is 8.5% more cost-effective over its life cycle than cast-in-situ (CIS) construction, primarily due to lower operation and demolition costs. This hybrid multi-criteria decision-making-based framework offers a data-driven and expert-informed model suitable for sustainable decision-making in India’s evolving construction sector. Furthermore, the entropy method is used to objectively weight 45 sub-attributes, enhancing the robustness of the analysis. A structured expert questionnaire was used for pairwise comparisons, and the resulting weights were integrated into a BIM-based LCC model tailored to developing country conditions. The comparative analysis indicates that precast buildings generally outperform CIS methods in terms of LCC, operational efficiency, and demolition economics. While data limitations and standardization challenges persist, the proposed framework offers a comprehensive and replicable approach to support economic decision-making in sustainable construction. The findings are valuable for developers, planners, policymakers, architects, and sustainability professionals, enabling more informed and resource-efficient construction strategies aligned with national and global sustainability goals.