Quality Optimization

80% of your defects
come from 3 causes.

Find them. Eliminate them. First-pass yield improves 20-40%. Customer returns drop. Rework costs vanish.

40-60%

Defect Reduction

Typical improvement

98%+

First-Pass Yield

Target achievable

80/20

Pareto Rule

3 causes = 80% of problems

Real-time

SPC Alerts

Drift detection

Quality Systems

Six ways we optimize quality.

Quality doesn't mean zero defects. It means consistent performance within spec limits, with measurable improvement every quarter.

Pareto Root Cause Analysis

80% of defects come from 3 causes. Most plants know this statistic but don't actually practice it. They scatter improvement efforts.

The result:

Your quality teams identify which 3 causes create 80% of your defects automatically. They eliminate those. Defect rate drops 40-60% without touching anything else.

First-Pass Yield (FPY)

What percentage of units pass quality checks on the first run? Rework, scrap, and customer returns all trace back to low FPY.

The result:

Your quality teams track FPY by shift, by machine, by operator. When it drops below 98%, they see it immediately and know why (material, speed, setup).

Statistical Process Control (SPC)

Control charts, capability indices (Cp, Cpk), process drift detection. SPC is the language of quality — most facilities don't speak it.

The result:

Your quality engineers see Cpk calculated automatically. When a process drifts toward specification limits, they receive an alert before parts fail inspection.

Defect Correlation

Defects don't happen randomly. They correlate with specific conditions: Shift B + Material X + Speed Y = defects. Find the correlation, eliminate the cause.

The result:

Your quality teams correlate defects with 50+ process parameters simultaneously. Patterns emerge that manual analysis would take weeks to find.

Operator Consistency

Same machine, same product, same setup. Operator A produces 0.2% defects. Operator B produces 2.1%. What's the difference?

The result:

Your quality leads identify procedure differences between high-performing and typical operators. They standardize best practices. Consistency improves 80% median.

Rework & Scrap Trending

Track what gets reworked, what gets scrapped, why. Rework that costs 3% of revenue is happening — you just don't see it bundled.

The result:

Your supervisors catch spikes: when rework jumps 15%, they investigate. When scrap reaches a monthly target, corrective action starts before month-end.

SPC Engine

Statistical Process Control built in.

Control Limits

Upper and lower spec limits calculated from your baseline. Any measurement outside these triggers an alert.

Process Capability (Cpk)

Is your process capable of meeting spec limits consistently? Cpk <1.33 means you'll have defects no matter what.

Trend Analysis

Is the process drifting? 7-point trend rules detect drift before parts fail. Corrective action starts early.

Out-of-Control Detection

Western Electric rules, Nelson rules, AIAG guidelines — all built in. Multiple signals for process drift.

Defect analysis that actually finds causes.

The Pattern

  • • 45% of defects: Material supplier Lot #R4521
  • • 25% of defects: Shift B operations
  • • 10% of defects: Machine A speed settings
  • • 20% of defects: Other causes

Just 3 causes = 80% of the problem

The Action

  • Switch to backup supplier for Lot #R4521
  • Train Shift B on Material X handling procedure
  • Adjust Machine A speed setpoint down 2%

Implementation cost: $8k. Defect rate drops 42%. Annual savings: $340k.

First-pass yield tells the real story.

94%

Current FPY

6% of units reworked or scrapped

Improvement opportunity

Worth 4-6% more throughput

98%

Target FPY

Industry standard for efficient ops

Find the 3 causes of 80% of your defects.

Root cause analysis backed by data. Eliminate chronic issues. FPY improves 20-40%.

Optimize Quality →