AI for Manufacturing That Moves OEE.

AI in manufacturing is used to predict equipment failures, track OEE live across plants, inspect quality with computer vision, and help technicians find answers in manuals and work orders. SMI TechSolutions starts with the use case that moves your most important KPI first.

OEE software measures overall equipment effectiveness by combining availability, performance, and quality data from your machines and MES. SMI TechSolutions builds multi-plant OEE cockpits with drilldown to line, shift, and asset, so every plant measures OEE the same way.

Predictive maintenance AI learns the normal behavior of equipment from sensor and historian data, then flags patterns that come before failures. SMI TechSolutions turns those alerts into prioritized work orders, so maintenance teams fix the right asset before it stops the line.

Manufacturing analytics turns production, quality, maintenance, and supply data into insights that improve plant decisions. SMI TechSolutions builds it on one governed data platform that connects MES, ERP, and historians, with live cockpits for plant managers and executives.

SMI TechSolutions connects historians such as PI, Wonderware, Ignition, or GE Proficy to MES and ERP through an ISA-95-aligned data model, so sensor readings line up with orders, assets, and shifts in one place for analytics and AI.

SMI TechSolutions keeps OT and IT networks segmented, moves data through controlled, one-way paths where needed, and follows IEC 62443 practices, so AI and analytics never put plant control systems at risk.

Yes. SMI TechSolutions combines sensor data with operator notes, using generative AI to turn free-text notes into consistent downtime reason codes, then uses machine learning to rank the biggest causes by lost hours.

SMI TechSolutions typically delivers multi-plant OEE visibility within 90 days, starting from a 60-minute plant briefing and a fixed proposal. Predictive maintenance and copilots then build on the same data platform.