ERP and MRP
Orders, references, materials, batches, planning and customer context.
Connected manufacturing operations
Comprehensive production line monitoring
ii40_Connect connects business, quality and shop-floor information to provide one contextual view of every order, product, process and asset across the line.
A MES layer across your existing systems
It does not replace what already works. It connects and contextualizes fragmented information into a coherent operational record.
Quality
Metrology, inspections, tolerances, SPC/Cpk, non-conformities and evidence.
OT and assets
States, cycles, alarms, recipes, setpoints and variables from PLCs, sensors and equipment.
Events and production
Stops, shifts, output, scrap, rework and operator records.
From isolated data to complete context
The digital twin correlates every unit or batch with its order, materials, process parameters, assets, events and quality controls.
- End-to-end process and product traceability
- Fast reconstruction of incidents and claims
- OEE and losses with causal context
- Quality analysis linked to the real process
- Maintenance based on condition and behavior
One data foundation, multiple decisions
Production
See progress, rate, microstops, bottlenecks and deviations by order or shift.
Quality
Relate critical parameters, inspections and results to detect drift and explain defects.
Maintenance
Prioritize assets using alarms, condition, cycles and actual production impact.
Continuous improvement
Compare shifts, products and conditions to identify repeatable patterns and opportunities.
Experience proven in industrial environments
Hijos de Juan de Garay
SAP, MES, metrology and operator records were integrated into one record per unit, with SPC/Cpk monitoring. Quality-claim reconstruction fell from more than two days to minutes.
Oilgear Towler
A Digital Twin cockpit for production, maintenance and energy was deployed across three plants, including cycle analysis, energy anomaly detection and billet-level production traceability.
The data foundation AI models and agents need
Advanced models need context, not only time series. By relating orders, products, recipes, states, quality and events, ii40_Connect prepares governed data for anomaly detection, causal analysis and recommended actions.
- Cycle and process anomaly detection
- Quality and maintenance prediction
- Contextual search and operations copilots
- Agents that prioritize incidents and opportunities
Turn your line into a shared source of operational truth
Start with one line and one concrete value case, reusing your current systems and data.