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#Eliminating assignable (special) sources of variation, so that the process is stable.
#Monitoring the ongoing production process, assisted by the use of control charts, to detect significant changes of mean or variation.
The proper implementation of SPC has been limited, in part due to a lack of statistical expertise at many organizations.<ref>{{cite journal |last1=Zwetsloot |first1=Inez M. |last2=Jones-Farmer |first2=L. Allison |last3=Woodall |first3=William H. |title=Monitoring univariate processes using control charts: Some practical issues and advice |journal=Quality Engineering |date=2 July 2024 |volume=36 |issue=3 |pages=487–499 |doi=10.1080/08982112.2023.2238049|quote=There are few areas of statistical application with a wider gap between methodological development and application than is seen in SPC (statistical process control). Many organizations in dire need of SPC are not using it at all, while most of the remainder are using methods essentially exactly as Shewhart proposed them early this century. The reasons for this are varied. One that cannot be overlooked is Deming’s observation that any procedure which requires regular intervention by an expert statistician to work properly will not be implemented.}}</ref>
===Control charts===
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