Brazilian Oil Tanker Routing and Scheduling Data for Optimization

Brazilian coastal maritime transportation data from an oil company's operations, used to analyze a pickup and delivery vessel routing problem with time windows and a heterogeneous fleet. The dataset was used in a study by Vinícius Picanço Rodrigues that applied a mixed integer linear programming model and a relax-and-fix heuristic. Numerical experiments with this real company data confirmed the optimization method could find good solutions for moderate-size problem instances.

Use Cases

• Developing optimization models for maritime pickup and delivery problems based on the described routing constraints.
• Benchmarking heuristic algorithms for vehicle routing with time windows using real operational data from the oil industry.
• Analyzing fuel consumption and freight contract cost trade-offs in heterogeneous fleet management based on the described problem formulation.
• Building decision support systems for cabotage shipping operations along coastal regions based on the specific restrictions of oil maritime transportation mentioned.

Strengths

• Based on a set of real data from an oil company's operations, as stated in the description.
• Describes a specific, constrained optimization problem (pickup and delivery with time windows and heterogeneous fleet) providing clear context.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Last update date is unknown; freshness unverified.

Provenance

Source

An oil company operating along the Brazilian coast, as referenced in the study.

Collection Method

Collected from the actual operations of the company, likely for internal analysis and optimization research.

Geography

Brazilian coast