Control Charts

Fatma Pakdil ()
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Fatma Pakdil: Eastern Connecticut State University

Chapter 9 in Six Sigma for Students, 2020, pp 333-373 from Springer

Abstract: Abstract Control charts are used in the “Analyze” and “Control” phases of DMAIC process. The plotted values demonstrate successive performance over time of the relevant CTQ characteristics. The control charts differentiate common causes of variation from assignable causes of variation through control limits. When the representative data points fall within the control limits, it is accepted that the variability of the data stems from common causes. After constructing control charts, Six Sigma teams assess the patterns and trends on the charts. Non-random trends and behaviors or any kind of abnormalities are expected to be detected on control charts. A control chart-based analysis is also required to eliminate assignable causes of variation for process capability analysis in the “Analyze” phase of DMAIC. This chapter analyzes control charts for variables and control charts for attributes.

Keywords: DMAIC; Analyze phase; Control phase; Control limits; Warning limits; Abnormality; Out-of-control process; In-control process; Control charts for variables; Control charts for attributes X ¯ − R $$ \overline{X}-R $$ charts; X ¯ − S $$ \overline{X}-S $$ charts; I − MR charts; P charts; np charts; u charts; c charts; Normal distribution; Poisson distribution; Binomial distribution (search for similar items in EconPapers)
Date: 2020
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DOI: 10.1007/978-3-030-40709-4_9

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