Journal of Information Technology in Construction
Journal of Information Technology in Construction
ITcon Vol. 31, pg. 651-673, http://www.itcon.org/2026/29
A novel framework for structuring and automating schedule-ready data from BIM for advanced construction scheduling
| DOI: | 10.36680/j.itcon.2026.029 | |
| submitted: | June 2025 | |
| published: | May 2026 | |
| editor(s): | Turk Z | |
| authors: | Qais Amarkhil, Assistant Professor,
Department of Civil Engineering and Construction Management (CECM), California State University, Northridge (CSUN), Northridge, California, USA https://orcid.org/0000-0002-4681-5868 qais.amarkhil@csun.edu Emad Elwakil, Professor, School of Construction Management, Purdue University, West Lafayette, Indiana, USA https://orcid.org/0000-0002-3810-7570 eelwakil@purdue.edu | |
| summary: | Construction scheduling still relies on fragmented manual preparation of activity, location, and labor data, even when BIM models are available. This paper addresses the challenge of systematically structuring and automatically extracting enriched BIM data to enable schedule‑ready inputs for advanced construction scheduling. The paper develops an Enhanced Planning and Scheduling (EPS) based framework and applies it through BIM enrichment, spatial decomposition, classification mapping, labor-hour calculation, and Dynamo-based data extraction in a building case. The framework generates a reusable dataset that links model elements to zones, floors, workspaces, activity categories, labor hours, and EPS priority IDs for downstream scheduling. The paper’s contribution lies in providing a structured EPS-based framework that transforms enriched BIM data into reusable schedule-ready inputs linking locations, activity categories, labor hours, and priority logic for downstream scheduling. Further research is needed to validate the framework across various project types and scheduling workflows, and to examine dynamic model–schedule updating and AI-assisted scheduling integration. | |
| keywords: | construction scheduling, building information modeling (BIM), automation, BIM data, schedule-ready data | |
| full text: | (PDF file, 1.817 MB) | |
| citation: | Amarkhil, Q., & Elwakil, E. (2026). A novel framework for structuring and automating schedule-ready data from BIM for advanced construction scheduling. Journal of Information Technology in Construction (ITcon), 31, 651-673. https://doi.org/10.36680/j.itcon.2026.029 | |
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