Automated Work-Planning Methods for Self-Healing and Optimal Construction Schedules
Start Date: Not Started
Duration: 5 Years
This research aims to develop AI agents that operate on engineering and construction domains and partially or fully automate the planning process of industrial construction with the aim of achieving "self-healing" schedules that adapt to changing site conditions and constraints.
research team
funding sources
NSERC
industry partners
PCL
cic research focus areas
Artificial IntelligenceDecision Support SystemsDesign and PlanningOff-site Construction and ModularizationProductivity and PerformanceSimulation ModelingSystems and Data IntegrationVisualization/BIM
research keywords
Activity SequencingAutomated Planning and SchedulingBIMIndustrial ConstructionReinforcement Learning
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