Truck dispatch optimization at Porto do Itaqui (30% waiting time reduction, 15% cost reduction, 20% CO₂ reduction), maritime terminal planning and ship queue scheduling, and energy meter reading route optimization.
The Logistics & Optimization group develops mathematical models and computational simulations to improve efficiency, reduce costs, and minimize environmental impact across industrial and public-sector operations.
Porto do Itaqui Truck Dispatch Optimization applied mathematical modeling and discrete-event simulation to bulk unloading operations at the Port of Itaqui (São Luís-MA), achieving measurable improvements across three dimensions:
PCTM (Maritime Terminal Planning and Control) for Alumar/Alcoa implements ship queue scheduling and port demurrage minimization using constraint-based optimization. The system was part of a 23-system portfolio developed for the Alumar consortium.
SAUL manages the logistics of residential electricity meter-reading teams using computational intelligence and Geographic Information Systems (GIS). Meter reader routes are optimized across dozens of sectors covering thousands of residential units, integrated with spatial clustering algorithms visible through a satellite-imagery interface.
Research methods include integer programming, metaheuristics (genetic algorithms, simulated annealing), discrete-event simulation, and GIS-based spatial optimization. Projects are developed in close collaboration with industrial partners to ensure operational feasibility.
CEMAR-CELPA / ANEEL P&D
Geospatial logistics management system for residential electricity meter-reading teams. Uses computational intelligence and GIS to cluster service units into optimized reading routes, minimizing travel time and operational cost.
Porto do Itaqui (EMAP)
Mathematical modeling and discrete-event simulation project to optimize truck dispatch and flow in bulk unloading operations at the Port of Itaqui, São Luís-MA. Delivered measurable operational, economic, and environmental benefits.
Alumar (Alcoa / Rio Tinto)
Comprehensive portfolio of 23 computational systems developed for Alumar, including PCTM (maritime terminal ship queue planning and demurrage minimization), LIMS (Laboratory Information Management System, winner of the Alcoa Innovation Award), augmented-reality heat exchanger management (HTM), power systems maneuver simulation, and nine 2D e-learning modules covering centrifugal pumps, calcination, chemical burns, fall prevention, sampling, and energy connection.