Hierarchical Plans for an Aerospace Maintenance Crew Scheduler
Overview
What this challenge is about.
Build an HTN planner for aerospace MRO schedules with certification and tooling constraints, then compare results to a baseline to earn your verifiable certificate.
The scenario
The MRO (around 350 staff at the Toulouse hangar) currently schedules with shared spreadsheets and loses an estimated 6-8 percent of available technician-hours to coordination drift.
The Brief
What you'll do, and what you'll demonstrate.
Prototype an HTN scheduler that beats the spreadsheet baseline on makespan and constraint violations across a realistic 5-day week.
Earning criteria — what you'll demonstrate
- Express a real domain as HTN methods + primitive tasks
- Handle resource and certification constraints during planning
- Compare against an entrenched baseline with realistic operational metrics
- Translate a research prototype into a runbook for non-engineers
Program Fit
Where this fits in your program.
Sharpens the same skills your degree expects you to demonstrate.
Automated Planning
Master · Ai Systems
Strong alignment
This challenge maps to Automated Planning at the Master level. It sharpens the same practical skills your coursework expects — but in a real industry context with actual constraints and deliverables.
Skills
Skills you'll demonstrate.
Each one shows up on your verified credential.
- Htn Planning
Apply htn planning to solve real industry problems and demonstrate production-level capability.
- Domain Modeling
Apply domain modeling to solve real industry problems and demonstrate production-level capability.
- Constraint Handling
Apply constraint handling to solve real industry problems and demonstrate production-level capability.
- Scheduling
Apply scheduling to solve real industry problems and demonstrate production-level capability.
- Python
Write clean, efficient Python for data processing, automation, and backend services.
- Benchmarking
Apply benchmarking to solve real industry problems and demonstrate production-level capability.
Careers
Career paths this challenge builds toward
Completing this challenge demonstrates skills that transfer directly to these roles:
AI Engineer
HTN modeling on a real industrial scheduling problem is the kind of work AI engineers do at MRO, aerospace, and complex-ops startups.
This challenge sharpens
- htn-planning
- domain-modeling
- constraint-handling
Applied AI Scientist
Benchmarking a planner against an entrenched baseline and translating it into a runbook is daily applied AI scientist work.
This challenge sharpens
- scheduling
- benchmarking
- htn-planning
AI Solutions Architect
Designing a constraint-aware scheduling solution and the runbook that supports operator adoption mirrors solutions-architect work in enterprise AI.
This challenge sharpens
- domain-modeling
- constraint-handling
- scheduling