Aria AI Operations Research Portfolio
Collection
Enterprise OR, optimization, and decomposition demos by Aria AI • 28 items • Updated
FieldOps Solver Configuration
Pre-configured solver parameters for the FieldOps Service Parts & Field Operations Optimizer.
This is a configuration artifact (not a trained neural network). It defines:
- ML prediction targets (failure probability, part type, repair duration, FTF, revisit)
- Available optimization algorithms (two-stage stochastic, multi-echelon, OR-Tools routing, ALNS, SAA)
- Two-stage decision model (pre-failure planning + post-failure response)
- KPI definitions for field service evaluation
Usage
Load config.json to inspect solver capabilities and integrate with the FieldOps engine.
Related
- Space: service-parts-field-operations-optimizer
- Dataset: fieldops-sample-scenarios
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