Padala, S P S (2025) A BIM-integrated multi objective optimization model for sustainable building construction management. Construction Innovation, 25(6), pp. 1727-1751. ISSN 1471-4175
Abstract
Purpose The construction industry is tasked with creating sustainable, efficient and cost-effective buildings. This study aims to develop a building information modeling (BIM)-based multiobjective optimization (MOO) model integrating the nondominated sorting genetic algorithm III (NSGA-III) to enhance sustainability. The goal is to reduce embodied energy and cost in the design process. Design/methodology/approach Through a case study research method, this study uses BIM, NSGA-III and real-world data in five phases: literature review, identification of factors, BIM model development, MOO model creation and validation in the architecture, engineering and construction sectors. Findings The innovative BIM-based MOO model optimizes embodied energy and cost to achieve sustainable construction. A commercial building case study validation showed a reduction of 30% in embodied energy and 21% in cost. This study validates the model's effectiveness in integrating sustainability goals, enhancing decision-making, collaboration, efficiency and providing superior assessment. Practical implications This model delivers a unified approach to sustainable design, cutting carbon footprint and strengthening the industry's ability to attain sustainable solutions. It holds potential for broader application and future integration of social and economic factors. Originality/value The research presents a novel BIM-based MOO model, uniquely focusing on sustainable construction with embodied energy and cost considerations. This holistic and innovative framework extends existing methodologies applicable to various buildings and paves the way for additional research in this area.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | architecture and planning; building; building information modeling; construction management; cost modeling; cost reduction; embodied energy; multiobjective optimization; nondominated sorting genetic algorithm III; sustainability and green buildings; sustainable construction |
| Index terms: | cost reduction, model development, construction sector, green building, validation, strengthening, commercial building, methodology, decision-making, integration, sustainable building, collaboration, literature review, genetic algorithm, design process, sustainable construction, sustainable design, embodied energy, construction industry, economic factor, modelling, effectiveness, multi-objective optimization, case study, efficiency, carbon footprint, building information modelling |
| Subjects: | sustainable construction, design process, economic concepts, research methods, algorithms, structural engineering, analytical methods, environmental impact, construction type, information systems, industry analysis, decision analysis, organizational analysis, professional development, economics, performance management, design practice, management, data analysis and analytics, energy systems, design methods, data collection methods |
| Topics: | Quality Management, Engineering Principles, Sustainability, Risk Management, Design Practice, Digital Applications, Organizational Design, Research Practice, Information Management, Cost Management, Construction Technology |
| Descriptive scope: | 5 PCTEA |
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