Back to publications

Automating look-ahead schedule generation for construction using linked-data and reinforcement learning

Soman, Ranjith K. and Molina-Solana, Miguel
Automation in Construction under review, (SUBMITTED)

Abstract:

Look-ahead planning is the stage in construction planning where information from diverse sources is integrated and plans are being developed for the next six-eight weeks. Poor planning of construction site activities at this stage often result in cost overruns and schedule delays. This work presents a novel Look-Ahead Schedule (LAS) generation method, which uses reinforcement learning and linked-data based constraint checking, to address the aforementioned issue and help construction professionals efficiently plan construction activities at this stage. Our proposal can generate conflict-free LAS significantly faster than conventional methods, demonstrating its capability as a decision support tool during look-ahead planning meetings. Thus, this paper extends existing knowledge in the construction informatics domain by demonstrating the application of reinforcement learning to aid data-driven look-ahead planning.

Links:

DOI:
PDF:

Bibtex:

@article{Soman2021,
  author = {Soman, Ranjith~K. and Molina-Solana, Miguel},
  title = {Automating look-ahead schedule generation for construction using linked-data and reinforcement learning},
  journal = {Automation in Construction},
  year = {SUBMITTED},
  volume = {under review},
  doi = {},
  comment = {},
  timestamp = {33}
}