Publications / CSCE/CRC 2025 - Montreal, Canada

Automating Construction Scheduling with AI: A Comparative Study of BIM and Non-BIM Approaches

Cole Burden, Emmanouil Katsimpalis, Bryan Adey and Carl Haas
Abstract:

Construction scheduling is a complex and critical component of project planning with substantial financial implications. Effective scheduling enhances project efficiency by controlling costs, allocating resources, and reducing durations. Manual scheduling is common but time-consuming and prone to errors. Automation in construction scheduling has evolved since the early 1980s, with recent advances focusing on Artificial Intelligence (AI). This paper reviews AI methods for automated construction scheduling, comparing BIM-based and non-BIM-based approaches across schedule preparation, analysis and optimization, updates, and control, highlighting benefits, challenges, and directions for future research.

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