{"id":106620,"date":"2026-06-12T05:52:36","date_gmt":"2026-06-12T05:52:36","guid":{"rendered":"https:\/\/teeptrak.com\/us-electronics-semiconductor-oee-case-study-2026-2\/"},"modified":"2026-06-12T05:52:38","modified_gmt":"2026-06-12T05:52:38","slug":"us-electronics-semiconductor-oee-case-study-2026-2","status":"publish","type":"post","link":"https:\/\/teeptrak.com\/en\/us-electronics-semiconductor-oee-case-study-2026-2\/","title":{"rendered":"Electronics Manufacturing OEE Case Study: SMT Line From 67% to 80% With Minor-Stop Elimination"},"content":{"rendered":"

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Electronics Manufacturing OEE Case Study: SMT Line From 67% to 80% With Minor-Stop Elimination<\/h1>\n

A US electronics manufacturer (EMS\/PCBA, ~$60M revenue, high-mix SMT + assembly) raised SMT-line OEE from 67% to 80% (+13 points), cut minor stops 25%, and lifted throughput about 12%<\/strong> within roughly four months of deploying TeepTrak \u2014 by making the invisible enemy of SMT visible: the short, frequent stops that never trip an alarm but quietly devour capacity.<\/p>\n

Representative case study \u2014 customer anonymized; figures reflect typical TeepTrak outcomes and industry benchmarks.<\/em><\/p>\n

The challenge: minor stops you can’t see<\/h2>\n

High-mix electronics means constant changeovers and placement machines that pause for seconds at a time \u2014 feeder reloads, vision rejects, micro-jams. Individually trivial, collectively enormous. This manufacturer’s SMT line ran at 67% OEE<\/strong>, and because these minor stops are too short for operators to log, manual tracking missed most of them. Add variable manual-assembly pace and first-pass-yield issues, and a lot of capacity was leaking through cracks nobody could see.<\/p>\n

The TeepTrak solution: catch every stop, pace every station<\/h2>\n

PerfTrak<\/strong> captured real-time SMT OEE<\/a> from the line, surfacing the minor stops manual tracking missed. PaceTrak<\/strong> brought visibility to the manual-assembly stations’ pace, and QualTrak<\/strong> captured defects and first-pass yield so quality losses were tied to their source. TeepTrak’s machine-learning<\/strong> layer flagged abnormal minor-stop patterns on placement machines before they cascaded. The shop floor finally had a true, second-by-second picture.<\/p>\n

The results: +13 OEE points in ~4 months<\/h2>\n

Within about four months: SMT OEE climbed from 67% to 80% (+13 points)<\/strong>, minor stops dropped 25%<\/strong> once they were visible and owned, throughput rose roughly 12%<\/strong>, and first-pass yield improved as defect patterns were caught earlier. Payback came in around five months \u2014 fast, because in high-volume electronics, recovered uptime converts directly to shipped boards.<\/p>\n

“The minor stops were the killer — invisible one by one, huge in aggregate. Once PerfTrak put them on the wall, the team couldn’t ignore them anymore.”
— Plant Manager, electronics manufacturer<\/strong><\/p><\/blockquote>\n

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Download the Full Electronics OEE Case Study<\/h3>\n

Instant download. No email confirmation needed.<\/p>\n \n

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