Optimal Sea Route Optimization
Defining optimal sea routes for CMA-CGM to minimize costs and carbon footprint using an optimization algorithm.
Business Context
CMA-CGM, the world's 3rd largest shipping company, operates 600+ vessels across global routes. Fuel costs and environmental regulations create pressure to optimize routing decisions.
Strategic Problem
How to define the optimal sea routes for CMA-CGM to minimize both operational costs and carbon footprint using an optimization algorithm?
Data Sources
Route distance matrices, fuel consumption models, carbon emission factors, port throughput data, and weather/sea condition datasets.
Methodology
Built an optimization algorithm balancing cost minimization with carbon footprint reduction. Modeled multiple routing scenarios with varying constraint weights. Benchmarked against existing routes.
Key Results
Delivered an optimization model identifying routes with significant cost and emission reduction potential versus current operations.
Business Impact
Directly applicable to maritime logistics decarbonization strategies. Combines operational efficiency with ESG compliance objectives.