Predictive Simulation for How Extreme Weather affects Fuel Consumption

Established a predictive modeling simulation for how extreme temperature affects fuel consumption/maintenance schedules for trucks used by a shipping company. Linked typical weather trends to a company’s past shipping schedules to make predictions about future costs and utilized Uncertainty Analysis to make recommendations about vehicle rotation, preemptive maintenance, and other cost reducing measures.