A self-optimizing factory — driven by real-time OEE, with AI Agent.
Measure Actual OEE from SCADA/PLC & IoT (not estimates), APS scheduling, quality control, and predictive maintenance — together with AI OEE Engine turning reports into action. LeePak saves 28% time & cost.
OEE = Availability × Performance × Quality
DBIZ MES measures real OEE from machine signals, not estimates — so every improvement traces back to a root cause.
7 international-standard OEE screen groups: Overview · Availability · Performance · Quality · Data sources · Production↔Maintenance · AI Recommendation.
Enough functionality for the factory to run itself
From machine monitoring to warehousing and product lifecycle — on one data platform.
Real-time monitoring
Track every machine and stage from SCADA/PLC & IoT — status, speed, and instant alerts.
OEE Analytics
4 KPIs (OEE/A/P/Q), trends, radar, equipment ranking, insights & recommendations.
Production scheduling (APS)
Capacity-based planning and scheduling with order prioritization — less waiting, optimized changeover.
Quality control (QC)
QC templates (numeric/select/bool), NCR, auto-reject, lot tracing — Quality feeds straight into OEE.
Predictive maintenance (eAM)
Equipment, spare-part, and maintenance-schedule management; IoT failure prediction to reduce downtime.
Warehouse (WMS) & product lifecycle (PLM)
Stock in/out by transaction type, batch/QR inventory; and formula & product lifecycle management.
OEE is the front end — the power lies in the 3 layers beneath
More than just “a pretty dashboard”: DBIZ invests properly in the real data layer so OEE is measured, not estimated.
Real data from layer 3 → layer 2 operations → display & recommendations at layer 1. Measure right and improvements follow.
From “reporting” to “an assistant that takes action”
AI doesn’t just draw charts — it finds causes, forecasts, and recommends actions tied directly to Work Orders; people approve.
Root Cause
Trace the root cause of OEE drops (machine, shift, materials, changeover).
Predictive OEE
Forecast OEE and cyclical failure risk for early prevention.
Impact Simulator
Simulate “what-if” impacts of changes on OEE before doing it for real.
Action Rank
Rank actions by impact/effort, tied directly to the Work Order.
Predictive maintenance
Alert on imminent equipment failure from IoT signals to schedule maintenance in time.
QC Vision
Detect visual defects with AI vision, pushing data into Quality/OEE.
Real numbers from a factory using DBIZ MES
Real results from DBIZ customers; varies by scope & the current state of each plant.
The most candid questions
Can the MES connect to my existing machines/PLCs? +
My OEE is currently “estimated” — how is DBIZ different? +
Will deployment disrupt production? +
Does AI control machines on its own? +
Does it integrate with ERP/inventory? +
Ready for a factory that self-optimizes for OEE?
Book a 30-minute session — we’ll assess your current OEE, estimate improvements, and sketch a roadmap starting from one production line. No commitment needed.