O'Reilly logo

Stay ahead with the world's most comprehensive technology and business learning platform.

With Safari, you learn the way you learn best. Get unlimited access to videos, live online training, learning paths, books, tutorials, and more.

Start Free Trial

No credit card required

Douglas Montgomery's Introduction to Statistical Quality Control

Book Description

Master Statistical Quality Control using JMP !

Using examples from the popular textbook by Douglas Montgomery, Introduction to Statistical Quality Control: A JMP Companion demonstrates the powerful Statistical Quality Control (SQC) tools found in JMP. Geared toward students and practitioners of SQC who are using these techniques to monitor and improve products and processes, this companion provides step-by-step instructions on how to use JMP to generate the output and solutions found in Montgomery’s book.

The authors combine their many years of experience as passionate practitioners of SQC and their expertise using JMP to highlight the recent advances in JMP’s Analyze menu, and in particular, Quality and Process.

Key JMP platforms include:

  • Control Chart Builder
  • CUSUM Control Chart
  • Control Chart (XBar, IR, P, NP, C, U, UWMA, EWMA, CUSUM)
  • Process Screening
  • Process Capability
  • Measurement System Analysis
  • Time Series
  • Multivariate Control Chart
  • Multivariate and Principal Components
  • Distribution

For anyone who wants to learn how to use JMP to more easily explore data using tools associated with Statistical Process Control, Process Capability Analysis, Measurement System Analysis, Advanced Statistical Process Control, and Process Health Assessment, this book is a must!

Table of Contents

  1. Foreword
  2. About This Book
  3. Acknowledgments
  4. Chapter 1: Using This Book
    1. Overview
    2. Chapter Contents
    3. Chapter Layout
    4. JMP Software and JMP Tables
    5. Typographical Conventions
  5. Chapter 2: Overview of Statistical Quality Control Topics and JMP
    1. Overview
    2. Statistical Process Control
    3. Measurement System Analysis
    4. Process Health Assessment
  6. Chapter 3: Control Charts for Variables
    1. Overview
    2. Variables Control Chart Review
    3. JMP Variables Control Chart Platforms
    4. Examples from ISQC Chapter 6
    5. Statistical Insights
  7. Chapter 4: Control Charts for Attributes
    1. Overview
    2. Attributes Control Chart Review
    3. JMP Attributes Control Chart Platforms
    4. Examples from ISQC Chapter 7
    5. Statistical Insights
  8. Chapter 5: Process and Measurement System Capability Analysis
    1. Overview
    2. Process and Measurement System Capability Analysis Review
    3. JMP Process Capability and MSA Platforms
    4. Examples from ISQC Chapter 8
    5. Statistical Insights
  9. Chapter 6: Process Health Assessment
    1. Overview
    2. Process Health Assessment Review
    3. JMP Platforms for Process Health Assessments
    4. Examples for Chapter 6
    5. Statistical Insights
  10. Chapter 7: Cumulative Sum and Exponentially Weighted Moving Average Control Charts
    1. Overview
    2. CUSUM and EWMA Control Chart Review
    3. JMP Small Shift Detection Control Chart Platforms
    4. Examples from ISQC Chapter 9
    5. Statistical Insights
  11. Chapter 8: Other Univariate Statistical Process Monitoring and Control Techniques
    1. Overview
    2. Special Topics Review
    3. JMP Platforms for Monitoring Autocorrelated Processes
    4. Examples from ISQC Chapter 10
    5. Statistical Insights
  12. Chapter 9: Multivariate Process Monitoring and Control
    1. Overview
    2. Multivariate Process Monitoring Review
    3. JMP Multivariate Monitoring Platforms
    4. Examples from ISQC Chapter 11
    5. Statistical Insights
  13. References