You're fixing defects.
But not the cause.
Your SMT line detects failures across multiple systems. But the real cause lives between them β where no one is looking.
Root cause isn't missing. It's disconnected.
Why root cause is still hard to identify
Most manufacturing teams are not lacking data. They're lacking visibility across systems.
Each system shows part of the picture:
- AOI detects defects
- ICT confirms failures
- MES tracks production
But none of them connect cause to effect.
Your quality team is working hard.
On the wrong problem.
When defects appear, teams investigate β system by system. But without cross-system correlation, the real cause stays hidden. The same failures return, again and again.
Reactive. Fragmented. Recurring.
Investigating systems in isolation creates a cycle that never ends.
- βInvestigating defects system by system
- βRunning manual comparisons across disconnected data
- βFixing symptoms, not causes
- βSeeing the same failures return week after week
- βCAPAs built on assumption, not confirmed root cause
- βYield stays unpredictable. Engineering time gets wasted.
Proactive. Connected. Permanent.
When data connects across systems, root cause becomes clear β not a guess.
- βIdentify root cause across systems instantly
- βUnderstand cause β effect relationships automatically
- βPrioritise the real issue, not the nearest symptom
- βEliminate recurring defects β permanently
- βCAPAs backed by statistical evidence, not assumption
- βYield improves. Engineering time shifts to action.
Every day without root cause visibility is measurable loss
Most losses are not caused by lack of data β but by lack of connection between systems.
- 01Teams react to symptomsWithout confirmed root cause, engineers address the closest visible symptom β not the source. The same failure re-emerges within weeks.
- 02Root cause takes days to findManual investigation across disconnected systems means pulling reports, comparing datasets, and building hypotheses β all before any corrective action begins.
- 03Problems repeat across shiftsWithout cross-system visibility, the same failure mode reappears under slightly different conditions β on different shifts, different lines, different boards.
- 04Decisions rely on guessworkWhen data isn't connected, corrective actions are based on experience and assumption β not evidence. That's why CAPAs don't hold.
See what's actually causing your yield loss
We analyse your SMT data across systems and show you where variation truly starts β based on your actual production data, not a generic demo.
What happens when your data is finally connected
Instead of analysing systems separately, you see:
- βCause β effect across the full production line
- βHow variation propagates between processes
- βWhere defects truly originate β not where they appear
Built for the complexity of your production environment
QualityLine connects Pick & Place Β· AOI Β· ICT Β· SPI Β· Flying Probe Β· X-Ray Β· Reflow Β· FCT Β· Repair Β· MES Β· ERP Β· Sensors into one continuous system of analysis.
SMT & PCB Assembly Lines
In high-mix, high-volume PCB assembly, defects rarely trace to a single variable. QualityLine connects every station β SPI to final test β into a single correlated view.
- Identify hidden correlation between SPI data and downstream AOI failures
- Detect stencil wear and paste printer degradation before yield drops
- Correlate component lot variation to board-level defect patterns
- Reduce engineering investigation time from days to under an hour
EMS Contract Manufacturing
Contract manufacturers run multiple programs on shared lines. QualityLine gives per-program visibility across shared equipment with automated customer-facing quality reports.
- Track quality KPIs per program, line, and shift β automatically
- Generate customer-ready quality reports without manual data pulls
- Detect cross-program contamination from shared equipment drift
- Support IPC-A-610, ISO 9001, IATF 16949, and AS9100 evidence
Automotive Electronics & PCBA
IATF 16949 requires documented root cause and verified corrective action. QualityLine automates the identification your APQP and PPAP processes depend on.
- Statistical root cause evidence for IATF 16949 CAPA documentation
- Full traceability from raw material lot to finished board test result
- Automated anomaly detection aligned to control plan parameters
- Reduce PPM escapes with real-time process drift alerting
EV & Power Electronics
Battery modules and power management systems operate at tolerances where microscopic variation has catastrophic downstream consequences. QualityLine monitors every manufacturing data source in real time.
- Real-time monitoring of thermal and electrical process parameters
- Correlate assembly variation to functional test failure patterns
- Track component batch quality across multi-site supply chains
- Flag process drift before it reaches end-of-line test
Medical Device Electronics & PCBA
Medical device manufacturing requires documented root cause evidence for FDA and ISO 13485. QualityLine provides real-time visibility and automated traceability across every manufacturing data source.
- Automated root cause aligned to Design History File (DHF) requirements
- Full traceability from component lot to finished device test record
- Statistical evidence for CAPA under 21 CFR Part 820 and ISO 13485
- Real-time anomaly detection against validated process parameters
Implantables, Diagnostics & Class II/III
Higher classification devices demand tighter process control. QualityLine monitors every manufacturing data source in real time β flagging drift before it reaches product release or triggers a non-conformance.
- Correlate AOI, X-Ray, and functional test data across full assembly
- Detect process drift before it impacts validated parameters
- Support NCR investigations with statistically confirmed root cause
- Reduce time-to-closure on NCRs and CAPAs by up to 70%
What happens if this gap goes unsolved
The difference between teams that find root cause β and teams that keep chasing it.
Reacting. Guessing. Repeating.
- βTeams react to symptoms
- βRoot cause takes days to find
- βProblems repeat across shifts and lines
- βDecisions rely on guesswork
- βCAPAs built on assumption β not evidence
Connected. Confirmed. Permanent.
- βRoot cause identified in hours
- βIssues solved permanently β not patched
- βDecisions backed by full cross-system data
- βContinuous improvement β not firefighting
- βCAPAs that actually hold
Questions engineers and quality managers ask us most
Direct answers β no marketing language.
Understand where your process is losing yield β and why
We analyse your SMT data and reveal the hidden relationships driving defects and inefficiencies β based on your actual production data, not assumptions.
- No disruption to your line
- Works with your existing systems
- No hardware changes required
In 15β20 minutes, we'll show you how root cause is identified across your production data.
No sales pressure. No commitment required.
See QualityLine working
on real production data
A live session using real manufacturing data. We'll show you how root cause is identified across your specific production systems β not a generic demo.
Request your free technical review
No spam. No commitment. We'll follow up within 1 business day.
