Data-Driven Machine Learning Approach to Integrate Field Submittals in Project Scheduling
Construction projects are data-rich environments. However, those data are usually captured for site-specific reasons, e.g., the filing and approval of inspection requests, with little regard to how they can be leveraged for improved project management. Typically, scheduling techniques rely on genera...
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| Main Author: | Awada, Mohamad (author) |
|---|---|
| Other Authors: | Srour, F. Jordan (author), Srour, Issam M. (author) |
| Format: | article |
| Published: |
2020
|
| Online Access: | http://hdl.handle.net/10725/17289 https://doi.org/10.1061/(ASCE)ME.1943-5479.0000873 http://libraries.lau.edu.lb/research/laur/terms-of-use/articles.php https://ascelibrary.org/doi/abs/10.1061/(ASCE)ME.1943-5479.0000873 |
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