Engineering Book from C.H.I.P.S.

Six Sigma Quality Improvement with MINITAB
by G. Robin Henderson

Six Sigma Quality Improvement with MINITAB explains the most important statistical methods employed in Six Sigma and demonstrates their implementation via the very popular, and user-friendly, statistical software package MINITAB.

Features:

• Introduction to key statistical methods for Quality Improvement using MINITAB.
• Minimal prior knowledge of statistical methods and no prior knowledge of MINITAB assumed.
• Easy-to-follow guidance for Six Sigma Green and Black Belts and others involved in Quality Improvement.
• Provides informative follow-up exercises, from a wide variety of scenarios, on each topic.
• Employs random data generation in MINITAB to aid understanding of key statistical concepts.
• Supported by a Website featuring data sets for download and notes and answers for the follow-up exercises.
• Developed from the author’s wealth of experience gained from many years working both in education and consultancy

Contents

Introduction

• Quality and quality improvement.
• Six Sigma quality improvement.
• The Six Sigma roadmap and DMAIC.
• The role of statistical methods in Six Sigma.
• MINITAB and its role in the implementation of statistical methods

Introduction to MINITAB, data display, summary and manipulation

• The run chart – a first MINITAB session.
• Display and summary of univariate data.
• Data input, output, manipulation and management

Exploratory data analysis, display and summary of multivariate data

• Exploratory data analysis.
• Display and summary of bivariate and multivariate data

Statistical models

• Fundamentals of probability.
• Probability distributions for counts and measurements.
• Distribution of means and proportions

Control charts

• Shewhart charts for measurement data.
• Shewhart charts for attribute data.

Process capability analysis

• Process capability

Process experimentation with a single factor

• Fundamental concepts in hypothesis testing.
• Tests and confidence intervals for the comparison of means and of proportions with a standard.
• Tests and confidence intervals for the comparison of two means or two proportions.
• The analysis of paired data – t-tests and sign tests.
• Experiments with a single factor having more than two levels.
• Blocking in single–factor experiments.
• Experiments with a single factor, with more than two levels, where the response is a proportion.
• Tests for equality of variance

Process experimentation with two or more factors

• General factorial experiments.
• Full factorial experiments in the 2k series.
• Fractional factorial experiments in the 2k–p series

Evaluation of measurement processes

• Measurement process concepts.
• Gauge repeatability and reproducibility (R&R) studies.
• Attribute scenarios

Regression and model building

• Regression with a single predictor variable.
• Multiple regression.
• Response surface methods

• Learning more about MINITAB and obtaining help.
• Macros.
• Further MINITAB.
• Postscript.

Index

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Six Sigma Quality Improvement with MINITAB
by G. Robin Henderson
2006 • 452 pages • \$129.00 + shipping