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Control chart

A statistical chart used to monitor process stability over time and detect unusual variation.

Definition and context

Control charts help teams distinguish normal process variation from signals that require investigation.

They are a core tool for preventing drift before defects escalate into shipment issues.

How control charts work

Data points are plotted against a center line with upper and lower control limits.

Out-of-control patterns such as runs, trends, or limit breaches indicate special causes that require action.

Operational usage

Teams use control charts on critical process and product characteristics to catch instability early.

When signals appear, supervisors can contain risk quickly and investigate root causes before customer impact.

Where this term fits in the workflow

Control chart is usually shown in the inspection and sampling.

Terms used when teams decide what to inspect, how much to sample, and whether a lot can ship.

What is KaizenQ?

KaizenQ helps factory teams record inspection results, defect photos, and notes in one report shared with the office.

Learn more
KaizenQ inspection report preview

Key takeaways

  • Control charts monitor stability, not just conformance.
  • Special-cause signals should trigger investigation and containment.
  • Fast data flow improves reaction speed and reduces escapes.

Practical guides

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