Process / pipelineEngineering methods

Multi-response Statistical Process Control — Multivariate SPC

Multi-response statistical process control (multivariate SPC) extends classical univariate control charting to processes where two or more correlated quality characteristics must be monitored simultaneously. By treating all responses as a joint distribution, it detects shifts that would be invisible when each response is charted independently, reducing false alarms and improving the sensitivity of process monitoring in manufacturing and service contexts.

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Sources

  1. Lowry, C. A., & Montgomery, D. C. (1995). A review of multivariate control charts. IIE Transactions, 27(6), 800–810. DOI: 10.1080/07408179508936797
  2. Mason, R. L., & Young, J. C. (2002). Multivariate Statistical Process Control with Industrial Applications. ASA-SIAM. ISBN: 978-0898715033

Related methods

ScholarGateMulti-response statistical process control (Multi-response Statistical Process Control). Retrieved 2026-06-04 from https://scholargate.app/en/experimental-design/multi-response-statistical-process-control