Aria AI Operations Research Portfolio
Collection
Enterprise OR, optimization, and decomposition demos by Aria AI • 136 items • Updated
benchmarks list | summary dict |
|---|---|
[
{
"fab": "semiconductor_frontend",
"load": "baseline_mix",
"disruption": "nominal",
"strategy": "hybrid_rolling_horizon",
"mean_cycle_time_h": 214.83,
"p95_cycle_time_h": 260.67,
"on_time_delivery_pct": 0,
"avg_wip": 13.3,
"throughput_lots_per_week": 10.4,
"machine_utilizatio... | {
"project": "ReentFlow",
"version": "1.0.0",
"scenarios": 8,
"algorithms": 9,
"primary_metrics": [
"mean_cycle_time_h",
"p95_cycle_time_h",
"throughput_lots_per_week",
"avg_wip",
"on_time_delivery_pct",
"machine_utilization_pct",
"tardiness_h"
],
"fab_modes": [
"semiconduc... |
ReentFlow Fab Scenarios
Synthetic reentrant manufacturing fab scenarios for semiconductor, pharmaceutical, and precision optics production.
Schema Fields
| Field | Description |
|---|---|
lot_id |
Unique lot identifier |
product_family |
Product family (logic, memory, pharma, optics) |
route |
Ordered operation sequence |
operation |
Operation ID within route |
machine_group |
Lithography, etching, cleaning, inspection, deposition |
qualified_machines |
Tools qualified for the operation |
processing_time |
Base processing time (hours) |
setup_family |
Sequence-dependent setup family |
release_time |
Lot release time |
due_date |
Customer due date |
priority |
Priority level (1 = expedite) |
batch_compatibility |
Whether operation supports batching |
maintenance_windows |
Scheduled tool maintenance |
failure_probability |
Stochastic failure rate |
Contents
sample_*.json— Full scenario + optimization resultsmanifest.json— Dataset manifesteval_results.json— Benchmark metrics across scenariosspace-bundle/— Gradio console bundle
Usage
import json
from huggingface_hub import hf_hub_download
path = hf_hub_download("alirezaaminzadeh/reentopt-fab-scenarios", "sample_semiconductor_frontend_high_wip_surge_nominal.json", repo_type="dataset")
scenario = json.load(open(path))
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