Statistical Process Control
Statistical Process Control (SPC) is a data-driven quality method that uses statistical techniques — primarily control charts — to monitor a manufacturing or service process over time. By distinguishing natural process variation (common cause) from unusual, actionable variation (special cause), SPC enables practitioners to maintain processes in a stable, predictable state and to detect problems early, before defective output reaches customers.
Source record
Citations copied verbatim from the method’s source record. No claim-level verification is inferred from them.
- Shewhart, W. A. (1931). Economic Control of Quality of Manufactured Product. Van Nostrand. · ISBN 978-0873890762
- Montgomery, D. C. (2020). Introduction to Statistical Quality Control (8th ed.). Wiley. · ISBN 978-1119657118
Curated claims
Claims persisted in the evidence ledger, each with its own assessment.
This view does not invent a claim assessment when the ledger has none.
Related methods
Generated from the method graph and shown as machine-suggested relations — no evidence claim is inferred.