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Home » Glossary » Statistical Process Control (SPC)

Statistical Process Control: What It Is, and How It Differs from Inspection

Statistical process control, or SPC, uses data and control charts to watch a process while it runs, so you catch it drifting before it makes bad parts. It differs from end-of-line inspection, which sorts good from bad after the fact. SPC controls the process; inspection judges the product.

Why is statistical process control important?

Statistical process control (SPC) matters because it catches a process drifting before it makes bad parts, rather than sorting good from bad after the fact. Watching the process live with control charts reduces scrap, rework and inspection cost and keeps quality stable while production runs. It is a foundation of preventive quality control and a common expectation in automotive and other regulated supply chains.

How does SPC work?

SPC turns measurement into early warning:

  • You sample the process at intervals and plot the results on a control chart.
  • The chart separates normal variation from a signal that something changed.
  • A signal means you act on the process before it makes scrap.
  • Capability studies then show whether the process can consistently meet spec at all.

How does SPC differ from inspection?

Control versus sort. Inspection, part of quality control, checks finished parts and separates good from bad. SPC watches the process itself and corrects it before bad parts are made. Inspection reacts to defects; SPC prevents them. One judges the output; the other steers the process producing it.

SPC vs inspection at a glance

Steering the process versus sorting the output.

AspectSPCInspection
WatchesThe process, liveThe finished parts
TimingWhile runningAfter the fact
ResultCorrect before scrapSort good from bad
NaturePreventiveDetective

Related Terms

Further Reading

Finding process drift only after the scrap piles up?
Capture measurements digitally to catch drift as it happens.

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