Flight & Maintenance Planning Optimization Engine (FMP)

Problem Statement

Aircraft (and other asset fleets) must simultaneously maximize operational availability while executing preventive maintenance across constrained stations, intervals, and mission demands. Traditional scheduling treats flight planning and maintenance as loosely coupled; in reality they are a single tightly-coupled system with capacity, inspection, crew, and demand constraints that must be optimized together—especially as prognostic health signals start driving maintenance timing.

Economic Impact

Sub-7-minute solve cycles demonstrated on realistic fleet planning instances; improved availability through coordinated flight/maintenance decisions; reduces downtime exposure by optimizing maintenance flow and station capacity utilization.

Core Capabilities

Multi-activity preventive maintenance with distinct intervals and rules
Multi-station maintenance capacity constraints and routing logic
Multi-mission / multi-purpose aircraft assignment
Usage-based residual flight time modeling and feasibility screening
Exact optimization with scalable solution method beyond naive solver-only approaches
Re-optimization loop under updated demand/capacity/health conditions
Optional prognostic integration: health-driven RUL and fatigue damage feedback into scheduling

Architecture Overview

API-first decision engine with (1) a data interface layer for fleet state, demand, maintenance rules, and station capacities, (2) an optimization core (MILP / decomposition + feasibility screening + strong bounds) that maximizes cumulative availability by controlling maintenance flow, and (3) an orchestration layer for scenario runs, re-optimization, and explainable outputs. Prognostics can be integrated as a module that updates residual life / damage state and feeds maintenance timing decisions back into the optimizer.

Deployment

Hybrid

Licensing

Enterprise license (core engine) + integration & customization SOW

Integration Points

MRO / CMMS Maintenance planning systems Flight operations / scheduling systems Crew planning constraints (as inputs) Data warehouse / lake (fleet history + utilization) Prognostics / health monitoring data streams (optional)

Ideal Client Profile

Asset-intensive operators with tightly constrained scheduling and maintenance decisions: airlines, aviation MROs, defense fleets, large transportation fleets, and any organization where availability, station capacity, and maintenance timing drive material revenue/cost outcomes.

Pilot Structure

4–8 week pilot: (1) scope one fleet segment and one planning horizon, (2) ingest minimal viable data (assets, intervals, demand, station capacity), (3) deliver an optimization prototype with scenario runner + KPIs (availability, downtime exposure, capacity utilization), (4) validate with planners, then define Phase 2 for full integration, automation, and enterprise rollout.