FabFlowAI Platform

Multi-agent reinforcement learning built for the unique demands of semiconductor packaging scheduling.

Core Capabilities

Multi-Week Schedule Generation

Generate 2–6 week production plans given demand signals, WIP state, and constraints. Plan ahead without sacrificing responsiveness.

Real-Time Adaptation

When tools go down, demand shifts, or priorities change, FabFlowAI re-optimizes automatically — no manual re-planning required. And in minutes.

Full Constraint Modeling

WIP limits, sequence-dependent changeovers, queue time windows, preventive and unscheduled maintenance, lot priorities — model every constraint that matters.

Multi-Objective Optimization

Simultaneously optimize tardiness, throughput, changeover costs, and idle time. Set priorities per objective to match your fab's goals.

MES / ERP Integration

REST API connectors for major MES platforms. Ingest WIP state, demand signals, and tool availability in real time.

BI Dashboards

Live KPI dashboards for every work center. Track utilization, tardiness, and throughput in real time without leaving the platform.

Explainability of Schedules

Get answers to natural language queries related to schedules. Why are certain lots scheduled so late? What if a station is taken off line? Powered by fine tuned LLM.

Create Your Own Dashboard

With natural language query data and schedules. No-code chart and dashboard creation.

Role-Based Access

Fine-grained permissions for planners, engineers, and executives - everyone sees the data relevant to their role, nothing more.

Constraint Coverage

FabFlowAI models constraints that legacy dispatch systems and generic APS tools simply cannot handle.

Constraint Type	FabFlowAI	Legacy Dispatch	Generic APS
WIP limits per work center	✅	❌	✅
Sequence-dependent changeover times	✅	⚠️	✅
Queue time window limits	✅	❌	⚠️
Preventive maintenance scheduling	✅	❌	✅
Multi-week planning horizon	✅	❌	⚠️
RL-based adaptive optimization	✅	❌	❌
Packaging-specific constraints	✅	❌	❌