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
- Foreword
- About This Book
- Acknowledgments
- Chapter 1: Using This Book
- Chapter 2: Overview of Statistical Quality Control Topics and JMP
- Chapter 3: Control Charts for Variables
- Chapter 4: Control Charts for Attributes
- Chapter 5: Process and Measurement System Capability Analysis
- Chapter 6: Process Health Assessment
- Chapter 7: Cumulative Sum and Exponentially Weighted Moving Average Control Charts
- Chapter 8: Other Univariate Statistical Process Monitoring and Control Techniques
- Chapter 9: Multivariate Process Monitoring and Control
- References
Product information
- Title: Douglas Montgomery's Introduction to Statistical Quality Control
- Author(s):
- Release date: October 2018
- Publisher(s): SAS Institute
- ISBN: 9781635268232
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