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BIM-based schedule generation and optimization using genetic algorithms
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AI
DOI：10.1016/j.autcon.2024.105476.png)
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Abstract
En 中文
This research presents a transformative framework to tackle challenges within the construction industry, where efficiency is hindered by limited digitalization and disjointed project phases. The framework seamlessly integrates state-of-the-art technologies, such as Building Information Modeling (BIM), Genetic Algorithms (GAs) for schedule optimization, 5D simulation, and a Business Intelligence (BI) Dashboard. By doing so, it effectively enhances productivity while bridging the gap between the realms of management and engineering. A comprehensive literature review underpins the framework's design, focusing mainly on BIM-based schedule generation and optimization. The approach's validity is demonstrated through a compelling case study, showcasing automated BIM model creation, BIM-Based schedule generation limited to structural elements of bottom-up Cast-insitu construction method, GAs-driven schedule optimization, 5D project simulation, and the integration of the BI dashboard. This research propels operational efficiency and promotes harmonious integration with pre-existing software systems, thus facilitating smoother adoption and adaptation.
Keywords:
Building information modeling (BIM)
Automation
Genetic algorithm
Automatic Scheduling
Construction
Optimization
Integrated project delivery (IPD)
5D simulation
Journal
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11.5
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6.2K
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