EagleSight
Fleet logistics & diagnostics engine
A scheduling engine for the Tractor-on-the-Go ecosystem. It solves vehicle routing problems with time windows using linear and mixed-integer programming to minimise fuel cost, then runs a second, physical model on top: a fluid-mechanics diagnostic that correlates live location against telemetry to predict engine breakdown before it strands a machine mid-operation.
- Formulation
- VRPTW as MIP, solved with Google OR-Tools
- Constraints
- Road distances, time windows and shift capacity
- Diagnostic
- Fluid-mechanics model over real-time telemetry
- Reports
- Fuel estimate, schedule efficiency, active conflicts
- Python
- OR-Tools
- MIP
- Telemetry
- FastAPI