Платформа оптимизации движения ледокольного флота
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R&D· LogTech

Платформа оптимизации движения ледокольного флота

For Rosatom, we developed an MVP platform for planning the movement of icebreaker and transport fleets. The core challenge: icebreakers are a scarce resource, so convoys cannot be planned in isolation — every decision affects fleet availability, routes, wait times, and the feasibility of the next convoy leg.

Client

Rosatom

Period

2 months

Format

Web platform, optimization algorithms

Next.jsReactMapboxTailwindCSSJavaSpringHibernateMySQLPythonRust
Platform overview
Platform overview
Route planning view
Route planning view
Fleet management
Fleet management

About the project

For Rosatom, we developed an MVP platform for planning the movement of icebreaker and transport fleets. The core challenge was that icebreakers are a limited resource — escort operations cannot be planned in isolation, as every decision affects fleet availability, routes, waiting times, and the feasibility of assembling the next convoy leg. The project sat at the intersection of web development, applied R&D, and algorithmic optimization. We designed the system interfaces, built the web application, and in parallel created an algorithmic layer that helped calculate more optimal icebreaker escort configurations under a complex set of operational constraints.

The Challenge

We needed to build an MVP system for planning icebreaker escorts, accounting for limited fleet resources, route parameters, transit requests, vessel characteristics, and convoy formation logic. The key emphasis was on providing a tool for scenario planning — not just data visualization: how to allocate icebreakers, how to sequence escorts, and which movement configurations prove most effective under a given set of constraints.

Our Solution

  • Designed UX and the full system interface
  • Developed the MVP web application
  • Implemented logic for routes, vessels, icebreakers, and transit requests
  • Developed and trained machine learning algorithms
  • Built an optimization loop for calculating icebreaker escort operations and movement scenarios
  • Unified a visual planning interface with an algorithmic engine for managing complex Arctic logistics

Results

  • MVP delivered in 2 months under tight constraints
  • Platform enables modeling and calculating icebreaker escort scenarios under limited fleet conditions
  • Task shifted from purely manual expert planning to a digital decision-support instrument
  • Routes can be visualized, movement options compared, and grounded planning scenarios assembled significantly faster

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