AVIATAR’s Heavy Maintenance Planning Optimization is designed to support long-term heavy maintenance planning by turning complex planning constraints into optimized, scenario-based maintenance schedules across the aircraft lifecycle. 

At its core, Heavy Maintenance Planning Optimization applies a mathematical optimization approach powered by a commercial solver. The solution evaluates planning alternatives against airline-specific targets and constraints to identify optimized layover placements, improve planning yield, and help maximize fleet availability while reducing manual planning effort.

As part of the Digital Tech Ops Ecosystem, Heavy Maintenance Planning Optimization is being designed to connect planning, maintenance data, and execution processes in one digital environment. The goal is to provide planners with greater transparency, faster scenario evaluation, and a more robust basis for strategic heavy maintenance decisions.

Discover how optimization-driven heavy maintenance planning can help maximize fleet availability and reduce manual planning effort: