Process control and statistical inference

Stephen V. Crowder, Douglas M. Hawkins, Marion R. Reynolds, Emmanuel Yashchin

Research output: Contribution to journalArticle

22 Scopus citations

Abstract

In process monitoring for quality control, different models of the observed data requires different tools, that are appropriate for controlling well-defined stochastic systems which are sub-optimal for processes subject to unpredictable abrupt changes and vice versa. It is also important that if the model describing the system involves explicitly specified stochastic behavior as well as abrupt changes, the engineering process control (EPC) and statistical process control (SPC) tools can supplement each other.

Original languageEnglish (US)
Pages (from-to)134-139
Number of pages6
JournalJournal of Quality Technology
Volume29
Issue number2
StatePublished - Apr 1 1997

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