Run a Smart Factory Without Stitching Six Vendor Platforms Together.
Modern manufacturing is software-heavy — MES (Manufacturing Execution System) for shop-floor orders, MOM (Manufacturing Operations Management) for cross-line orchestration, IoT for sensor + machine telemetry, CMMS for maintenance, SCM for supply chain, ERP for finance. Most factories run 6-12 separate vendors with brittle integrations between them. Aeion's manufacturing stack — Smart Spaces + Sentinel + SCM + Fleet + Finance + Bridge — ships MES execution, real-time shop-floor visibility, predictive maintenance, supply-chain coordination, and ESG reporting on one tenant database. One audit log. One bill.
What Aeion Ships for Manufacturing
MES Execution
Work orders, production tracking, per-machine OEE, and quality-incident capture all run in real time on the shop floor, so a shift supervisor sees exactly what's happening on the line right now — not the previous shift's paper log. Replaces a standalone MES bolt-on outright.
IoT Shop-Floor Telemetry
Fifteen-plus industrial protocol adapters — OPC-UA, Modbus, BACnet, EtherNet/IP, PROFINET, MQTT — feed a single real-time NOC dashboard at 10K messages/second with no dropped telemetry, so per-line and per-machine data streams stay in sync instead of scattered across a dozen historian tools. Read Smart Spaces →
Predictive Maintenance via AI
The `aeion-smart-spaces` skill watches vibration, temperature, current draw, and cycle time per machine and matches the pattern against historical failure signatures, predicting component failure 7-30 days out. Maintenance gets scheduled before the breakdown instead of after it — cutting equipment downtime 60% versus a run-to-failure baseline.
Supply Chain Coordination
Aeion SCM follows a purchase order all the way from vendor through inbound logistics, receiving, BOM consumption, and finished goods, with per-vendor performance scorecards and crisis management built in — so a supply disruption gets caught before it stalls the line. Read SCM →
Quality Control + SPC
Statistical process control charts run per line with Cpk and Ppk calculated automatically, flagging out-of-control conditions the moment they happen instead of at end-of-shift review. Every batch carries full traceability for FDA, ISO, aerospace, and automotive audits.
Plant Security via Sentinel
Perimeter cameras, badge access, clean-room mantrap doors, and panic-button integration all feed the same real-time NOC — and a security incident can trigger a Smart Spaces lockdown and a Helpdesk ticket automatically, instead of a security guard making three phone calls. Read Sentinel →
ESG + Carbon Reporting
Scope 1, 2, and 3 emissions get tracked automatically from energy, water, waste, and supply-chain telemetry, with SASB, GRI, CDP, and TCFD reports generated on their own schedule — so the sustainability team stops rebuilding the same spreadsheet every quarter, and disclosure stays ready for SEC and EU CSRD requirements.
Multi-Plant Orchestration
Each plant gets its own isolated tenant, so per-plant CMMS data never leaks across sites, while corporate still sees a rolled-up portfolio view across every plant. Data residency follows the region automatically for global manufacturers running EU, APAC, and US operations side by side.
The Compliance + Regulatory Surface
Manufacturing is regulated. Aeion ships the audit + traceability + compliance native.
Industry 4.0 — AI Across the Shop Floor
Per-line + per-machine AI grounded in real telemetry, not generic models.
Manufacturing Operational Wins Beyond Compliance
Real-time NOC dashboard
Per-machine status updates sub-second across the entire plant, replacing the 5-minute polling lag of a legacy BAS.
Cross-plant portfolio view
Corporate sees per-plant OEE, scrap, downtime, energy, and ESG metrics rolled up in one view instead of twelve separate plant reports.
Single audit trail
ISO 9001, FDA, IATF, AS9100, and OSHA evidence all flow through one log, so an auditor gets one export instead of a scavenger hunt across systems.
AI predictive maintenance
Equipment downtime dropped 60% in test deployments by scheduling service before the failure, not after it.
AI quality anomaly detection
Defect-rate shifts surface within minutes of occurring, instead of turning up at end-of-shift review.
AI energy optimization
Ghost-heating and idle-power elimination typically cut energy spend 15-25%.
Supply-chain crisis early-warning
Disruptions surface 30-90 days before they'd otherwise hit production.
ESG reporting, auto-generated
SASB, GRI, and CDP reports compile monthly on their own, without a sustainability team rebuilding them by hand.
Per-plant tenancy
Corporate gets cross-plant orchestration without any plant's data leaking into another's.