Analyze Phase: A Is for Analyze

Fatma Pakdil ()
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Fatma Pakdil: Eastern Connecticut State University

Chapter 7 in Six Sigma for Students, 2020, pp 157-289 from Springer

Abstract: Abstract The Analyze phase focuses on analyzing data collected in the previous phase, making data-driven decisions for the next phase of Six Sigma, discovering quality problems and issues, and identifying root causes of defects and the points where the wastes occur in the process. Discovering the causes of variability is pivotal to identify root causes and take preventive or corrective actions in the phases of Six Sigma projects. The Analyze phase uses a great variety of statistical tools and techniques in DMAIC process. These tools and techniques are detailed in this chapter.

Keywords: Analyze phase; DMAIC; Descriptive statistics; Measures of central tendency; Measures of variability; Types of variation; Shape of distribution; Types of distributions; Random variable; Discrete distributions; Continuous distributions; Inferential statistics; Sampling distribution; Central limit theorem; Estimation; Interval estimates; Confidence interval; Tolerance interval; Prediction interval; Hypothesis testing; Correlation analysis; Regression analysis; ANOVA; Process capability analysis; Taguchi’s loss function; Quality losses (search for similar items in EconPapers)
Date: 2020
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-030-40709-4_7

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DOI: 10.1007/978-3-030-40709-4_7

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