Title: Douglas Montgomery's Introduction to Statistical Quality Control: A JMP® Companion
Publisher: SAS Institute (edition )
Publication Date: 2018
Language: English
ISBN 10: 1635260221
ISBN 13: 9781635260229
Binding: Paperback
Condition: Very Good

About this title

Synopsis

Master Statistical Quality Control using JMP^�!

Using examples from the popular textbook by Douglas Montgomery, Douglas Montgomery’s 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!

About the Author

Brenda S. Ram�rez, MS, is an industrial statistician with more than fifteen years of experience working in the chemical and semiconductor industries. In this role, Brenda partners with engineers and scientists to help bring new products to market, sustain manufacturing operations, and guide process improvements through the union of science and statistics. She also has years of experience driving continuous improvement initiatives, like Six Sigma and Quality Function Deployment (QFD). Brenda received an MS in applied statistics from Worcester Polytechnic Institute and an MS in industrial and management Engineering from Rensselaer Polytechnic Institute. She has been an avid user of statistical software from SAS Institute since 1992. Jos� G. Ram�rez, PhD, is an industrial statistician working closely with engineers and scientists to help them "make sense of data," through collaborative education, promoting statistical thinking, and JMP usage. He has been using JMP and SAS for more than fifteen years as a catalyst to turn data into knowledge. He received a degree in mathematics from Universidad Sim�n Bol�var in Caracas, Venezuela, and an MS in applied statistics and a PhD in statistics, both from the University of Wisconsin at Madison, where he was one of the founding members of the Center for Quality and Productivity Improvement. In 1998, at SUGI 23, he won the best contributed statistics paper, and in 2002 he was awarded the SAS User Feedback Award.

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