Container Truck VRP

Unlock trucking capacity through smarter drayage operations.

Container Truck VRP: screenshot of the demonstration

The Challenge

In traditional container trucking, tractors often remain attached to trailers while containers are loaded or unloaded. This ties up valuable tractor capacity and limits the number of jobs a fleet can handle.

Drop-and-pull operations allow tractors to leave trailers behind and move on to their next assignment, but coordinating tractors, trailers, yards, and customer time windows creates a complex optimization challenge.

Why Our Solution Is Different

Unlock Capacity with Drop-and-Pull

  • Compares traditional tractor-trailer operations with drop-and-pull dispatch, where tractors keep working while trailers stay at customer sites
  • Shows how operational flexibility changes fleet requirements, utilization, and costs

Keep tractors moving, not waiting.

Two-Speed Optimization

  • Plan Now (seconds): local-search optimization for fast planning decisions
  • Plan for Tomorrow (minutes): Adaptive Large Neighborhood Search (ALNS) explores more alternatives to seek higher-quality plans
  • Different planning horizons call for different optimization strategies

Fast when time matters. Deeper when savings matter.

Economics-First Decision Intelligence

  • Compares strategies on one consistent cost model: tractor and trailer costs, driver time, fuel, outsourcing, and service penalties
  • Explores fixed-fleet scenarios and the fleet capacity required to complete the same workload

Optimize the economics, not just the distance.

Independently Verified Optimization

  • All optimization methods are evaluated by a shared, independent verifier that checks feasibility and calculates operational metrics
  • Plans can be replayed on Singapore's real road network, while small-scale exact optimization provides a benchmark for solution quality

Every plan checked. Every cost explained.

Explore the Live Demo

Compare operating modes, adjust assumptions, visualize truck movements, and explore the trade-off between planning speed and solution quality.

Decision-support demonstration using fictional company data and assumed operating costs. Results are illustrative and are not production dispatch recommendations.

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