چکیده: (116 مشاهده)
Construction material delivery in multi-site projects is challenged by uncertain demand and site readiness, limited logistics capacity, restricted storage space, and transportation-related emissions. This study develops an uncertainty-aware BIM–IoT-driven digital-twin framework for fourth-party logistics orchestration of just-in-time and low-carbon material delivery. The framework integrates BIM-based material and activity information with operational observations of project progress, shipment status, inventory, site readiness, and logistics-resource availability. A scenario-based multi-objective mixed-integer linear programming model is formulated within a rolling-horizon structure to minimize expected logistics cost, risk-adjusted delivery deviation, site congestion, and carbon emissions. Implemented decisions, immediate non-anticipative decisions, and future scenario-dependent recourse decisions are distinguished, while transportation uncertainty is represented by separating dispatch and arrival and incorporating conditional value at risk. For large-scale instances, an Event-Aware Rolling-Horizon NSGA-II is developed using scenario-linked encoding, Pareto warm starts, event-affected gene masks, adaptive operators, and hierarchical feasibility repair. Results from an Iranian steel-construction application and multi-size benchmarks show improved delivery, congestion, emission, hypervolume, and IGD+ performance relative to tested baseline policies and algorithms. The framework also yields quantitative decision rules for logistics capacity, site storage, data quality, consolidation, and carbon restrictions.
| بازنشر اطلاعات | |
 | این مقاله تحت شرایط Creative Commons Attribution-NonCommercial 4.0 International License قابل بازنشر است. |
