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Insights › Solution stories

Solution stories

Auto Components: Honest OEE and Faster Root Cause on Rejections

Machine-measured OEE, tool-linked rejections and supplier scorecards for a machining supplier.

Trikaan Research & Engineering·10 Nov 2026·4 min read
Auto Components: Honest OEE and Faster Root Cause on Rejections

KEY TAKEAWAYS

  • Reported OEE was high; measured OEE was not.
  • Short stops were the hidden capacity loss.
  • Linking rejections to tools and machines revealed root causes.
  • Supplier quality data improved incoming material.
About this story: This is an illustrative solution story. It is a composite built from situations we commonly see in this industry, not an account of a single named customer. Figures shown as [X] are placeholders to be replaced with verified results.

A machining supplier to tier-1 automotive customers faced delivery pressure and rejections, despite reporting good OEE.

This story shows what changed when data came from the machines.

The situation

OEE was calculated from shift reports. Rejections were logged by part number but not by machine or tool. Customer schedules changed weekly.

What they had already tried

  • Overtime to recover delivery.
  • Additional inspection stages.
  • Weekly review meetings with paper reports.

How we diagnosed the real problem

We connected run signals on the bottleneck CNC cell for two weeks.

  • Measured OEE was noticeably lower than reported.
  • Short stops for chip clearing and gauging were the largest loss.
  • Rejections clustered on specific tools near end of life.

The solution, product by product

No single product solved this. The value came from the products working on the same data.

ProductRole in this solution
Machine Digital TwinRun status, counts and alarms from CNCs; OEE with operator reason codes
ASTR ProductionWork orders, control plan checks, rejection recording by machine, tool and shift
AnvayaCustomer schedules, stock, dispatch, incoming inspection and supplier scorecards
ASTR ReportingOEE losses, rejection Pareto and delivery risk

How it rolled out

  • Bottleneck cell first.
  • Reason codes agreed with operators.
  • Tool life tracking.
  • Supplier scorecards.

What changed

Capacity was recovered by attacking short stops and tool changes rather than adding shifts.

  • OEE on the bottleneck improved by [X] points from the measured baseline.
  • Rejections reduced by [X]%.
  • On-time delivery improved by [X]%.
In practice: The first week of honest OEE was uncomfortable. It was also the week improvement started.

What we would tell a similar company

  • Measure OEE from machines, not reports.
  • Attack short stops.
  • Record rejections with machine and tool.
  • Score suppliers on facts.

Frequently asked questions

Can older CNCs be connected?

Usually through controller data or simple sensors.

Does this support customer audits?

It provides records; compliance depends on your quality system.

Is this a real customer?

It is an illustrative composite.

  • #auto component manufacturer case study
  • #OEE improvement case
  • #machining rejection root cause
  • #tier 2 supplier digital
  • #CNC machine monitoring

Trikaan Research & Engineering

Trikaan

Written by the researchers and engineers who build Anvaya, ASTR and Seed Track, with input from Trikaan's delivery and engineering teams.

ON THIS PAGE

  • The situation
  • What they had already tried
  • How we diagnosed the real problem
  • The solution, product by product
  • How it rolled out
  • What changed
  • What we would tell a similar company
  • FAQ

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OEE and quality for component makers.

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