SMT Analytics for Higher Yield and Fewer Defects | QualityLine
SMT Analytics

You detect every defect. You can't explain any.

This is not another SMT tool. It's a system-level view of your entire line.

Your SMT line is generating data at every step — but none of your systems were built to connect it. SMT analytics gives you a full-line view of how your process behaves — not just where defects appear.

67% Reduction in defect detection delay
31% Decrease in escaped defects
<1hr Average time to confirmed root cause
Every system on your line · Status
No Correlation
Pick & Place — placement data
Isolated
SPI — paste inspection
Isolated
Reflow — temperature logs
Isolated
AOI — defect detection
Isolated
ICT / Flying Probe — test results
Isolated
MES / ERP / Sensors
Isolated
⚠ No cross-system correlation → Root cause stays hidden
QualityLine — all systems correlated
Connected
Trusted by global electronics manufacturers
Jabil
Siemens
Emerson
Schneider Electric
GE
Molex
Stanley Black & Decker
+22% FPY improvement after connecting every data source · Emerson
-18% Scrap and rework reduction · Molex
67% Of engineer time spent collecting data, not analysing it
3–6× More expensive to find a defect at the customer than at the source
The SMT Problem

Your tools detect the defect.
None of them explain it.

Every system on your SMT line does its job — but only within its own scope.
Defects are detected. Tests are run. Reports are generated.
But the reason behind failures lives between systems — not inside any one of them.

1
Step 1 — Detection (AOI / SPI)

Inspection catches it. Nobody knows why.

Issues are identified — but without context

AOI flags the solder defect. SPI flags the paste variation. But whether the cause is stencil wear, reflow drift, placement offset, or something upstream — no single system on your line can tell you. Each tool answers its own question. None of them answer yours.

2
Step 2 — Testing (ICT / Flying Probe)

ICT reports failures. The investigation starts from zero.

Failures are confirmed — but not explained

Without process data from every source correlated to that specific board — paste history, placement logs, reflow profile — your engineer pulls reports manually from systems that were never designed to talk to each other.

3
Step 3 — Reaction (CAPA / Repair)

The CAPA closed. The defect came back.

Actions are taken — but often based on incomplete information

Because the corrective action addressed the symptom nearest to the failure — not the actual upstream cause. Without cross-system correlation, the real source was never confirmed. So it returned, on schedule, under slightly different conditions.

Why It Stays Unresolved

You already have the data you need. Your systems just weren't built to use it together.

Every inspection system, test station, and process step is generating valuable data. But each one operates independently. That means:

  • Variation is detected — but not explained
  • Failures are flagged — but not connected
  • Root cause remains hidden across systems
"This isn't a data problem.
It's an analytics problem."

That's the gap QualityLine closes.
Pick & Place — placement data
Isolated
SPI — solder paste inspection
Isolated
Reflow — zone temperature logs
Isolated
AOI — solder & component defects
Isolated
X-Ray — hidden joint inspection
Isolated
ICT / Flying Probe — test results
Isolated
FCT — functional test outcomes
Isolated
Repair — rework & failure codes
Isolated
MES / ERP / Sensors — process context
Isolated
⚠ No cross-system correlation → Root cause stays hidden
QualityLine — all systems connected & correlated
Connected

SMT tools show you where variation exists.
They cannot show you why — because the answer lives across systems
they were never designed to connect.

What Changes When You Connect

What changes when your SMT data is connected

How It Works

When your SMT data connects, everything changes

QualityLine connects SPI, AOI, ICT, MES, and all process data into a single system. Instead of isolated signals, you see the full chain of cause and effect — across your entire line. No more assumption-based CAPAs. No more recurring defects that were "already fixed."

High-volume SMT line · Emerson
+22 %
First-pass yield improvement

Achieved by identifying process variation across multiple systems — not by improving inspection, but by connecting data that was never analyzed together.

After QualityLine identified a correlation between paste volume deviation and reflow zone 2 temperature variance — data that existed in both systems but had never been cross-referenced — one process adjustment improved FPY 22% within three production weeks.

Global EMS manufacturer reduced first-pass failures by 22% after correlating SPI, AOI, and ICT data across the production line.
Emerson · High-volume SMT · Electronics manufacturing
Common Questions

Questions SMT engineers ask us most

Direct answers — no fluff.

Because most corrective actions are based on isolated data. Without connecting inspection, test, and process data, the real cause remains hidden — leading to repeated failures. The fix addresses what was visible. The source stays hidden. QualityLine identifies the statistically confirmed root cause before corrective action is taken — so the fix actually holds.
Detection tells you where the defect appears. Root cause analysis explains why it happens — by connecting data across systems and identifying relationships between process steps. AOI is reactive. Root cause analysis, powered by cross-system correlation, is predictive and permanent. One closes the defect report. The other stops the defect from returning.
QualityLine connects via SECS/GEM, OPC-UA, REST APIs, and flat file exports — covering Pick & Place, AOI, ICT, SPI, Flying Probe, X-Ray, Reflow, FCT, Repair, MES, ERP, and Sensors. No replacement of existing equipment. No disruption to your line. Most integrations are live within days.
No. These systems remain essential. QualityLine connects their data to provide a unified view and deeper analysis across your entire production line. Your existing infrastructure stays in place — QualityLine works on top of it to surface the correlations those systems were never designed to reveal on their own.
Most teams start identifying hidden patterns within days of data integration going live. Initial insights — correlations between upstream process parameters and downstream failures — typically appear within the first weeks. Measurable yield improvement follows shortly after the first process adjustments based on confirmed root cause.
Take the Next Step

See how your SMT data connects —
and what it reveals

A QualityLine engineer will review your SMT setup and show you the hidden relationships in your process that impact yield and quality.

No disruption to your line
Works with your existing SMT systems
No hardware changes required

No sales pressure. No commitment required.