4 papers
Bayesian-Monte Carlo Schedule Updating for Construction Digital Twins: A Probabilistic Framework for Dynamic Project Forecasting
Atena Khoshkonesh, Mohsen Mohammadagha, Vinayak Kaushal +1
Construction projects frequently experience schedule delays and forecasting uncertainty due to variability in labor productivity, material availability, weather conditions, and pro…
Lean 5.0: A Predictive, Human-AI, and Ethically Grounded Paradigm for Construction Management
Atena Khoshkonesh, Mohsen Mohammadagha, Navid Ebrahimi +1
This paper introduces Lean 5.0, a human-centric evolution of Lean-Digital integration that connects predictive analytics, AI collaboration, and continuous learning within Industry…
Simulation-Based Validation of an Integrated 4D/5D Digital-Twin Framework for Predictive Construction Control
Atena Khoshkonesh, Mohsen Mohammadagha, Navid Ebrahimi
Persistent cost and schedule deviations remain a major challenge in the U.S. construction industry, revealing the limitations of deterministic CPM and static document-based estimat…
Integrated 4D/5D Digital-Twin Framework for Cost Estimation and Probabilistic Schedule Control: A Texas Mid-Rise Case Study
Atena Khoshkonesh, Mohsen Mohammadagha, Navid Ebrahimi
Persistent cost and schedule overruns in U.S. building projects expose limitations of conventional, document-based estimating and deterministic Critical Path Method (CPM) schedulin…