Industry · Manufacturing
IoT 4.0, predictive maintenance, and factory-floor intelligence at scale, where OT meets IT and every percentage point of OEE is money.
OT/IT ConvergencePredictive MaintenanceVision QCGMP Traceability
81%
Defect Escape Reduction
67%
Less Unplanned Downtime
62→81%
OEE Improvement
Edge Inference
Use Case Scenarios
Real problems. Real deployments.
Each scenario follows the same arc: the challenge as the customer lived it, the solution as we built it, and the outcome as they measured it.
01
100% In-Line Quality Inspection
VP Manufacturing, Electronics OEM
⚠ The Challenge
Manual sampling inspection caught defects after entire batches were built. By the time a solder fault was found, 4,000 boards had shipped with the same flaw, and the recall cost more than a year of inspection salaries.
⚙ The Solution
Computer vision QC deployed at 12 AOI stations: every board inspected at line speed, defect classification in under 10ms at the edge, and instant line-stop triggers when fault patterns emerge.
✓ The Outcome
Defects caught at board one, not board four thousand. The recall budget became an R&D budget.
Defect escape rate down 81% · throughput up 12%
Built With
Smart Factory PlatformComputer VisionEdge AI
02
Predicting Machine Failure 72 Hours Out
Plant Director, Auto Parts Manufacturer
⚠ The Challenge
240 CNC machines ran on calendar-based maintenance: healthy machines got serviced unnecessarily while others failed mid-shift. Every unplanned stop cascaded through the JIT delivery schedule.
⚙ The Solution
A vibration and thermal sensor network fed ML models trained on each machine’s failure history, predicting bearing and spindle failures 72+ hours ahead, with work orders auto-generated into the CMMS.
✓ The Outcome
Maintenance became a scheduled event, not an emergency. The JIT schedule finally held.
Unplanned downtime down 67% · maintenance cost down 35%
Built With
Predictive MaintenanceIoT SensorsMES Integration
03
Real-Time OEE for Every Line Manager
COO, Food & Beverage Group
⚠ The Challenge
OEE was calculated monthly, in a spreadsheet, three weeks after the fact. By the time leadership saw a problem line, the losses were already booked, and nobody could say which shift, which SKU, or which machine.
⚙ The Solution
OT/IT convergence piped PLC data into the ERP in real time: live OEE per line on the floor displays, automated shift handover reports, and drill-down from plant level to individual station.
✓ The Outcome
Line managers started fixing problems during the shift they happened in.
OEE improved from 62% to 81% in 6 months
Built With
Smart Factory PlatformOPC-UA IntegrationLive Dashboards
04
GMP Serialisation & Track-Trace
Quality Director, Pharmaceutical Manufacturer
⚠ The Challenge
New serialisation regulations demanded unit-level traceability from raw material to pharmacy shelf. The existing paper-plus-Excel system would have needed 14 new hires just to keep up.
⚙ The Solution
An IoT-based serialisation platform assigned and tracked unique identifiers at every packaging stage, aggregation, warehousing, shipping, with GMP-compliant audit trails generated automatically.
✓ The Outcome
Full regulatory compliance without the hiring spree. Recalls went from days to minutes.
Serialisation cost down 40% · full GMP compliance
Built With
Track & TraceIoT 4.0Compliance Automation
Facing a similar challenge in Manufacturing?
Talk to a SYSTEX Asia industry specialist, we’ll map these patterns to your environment.
Talk to a Specialist
Request an Assessment
The Platforms Behind These Stories
Explore the products.
Product
Smart Factory Platform
Explore →
Product
Carbon & ESG Intelligence
Explore →
Product
Hybrid Multi-Cloud
Explore →