Statistical Process Control DeMYSTiFied
Book
Paperback/Softback
320 pages
978-0-07-160049-1 (ISBN)
Description
This title lets you monitor and improve quality quickly and easily. Here is an invaluable self-teaching guide for anyone struggling to understand Statistical Process Control (SPC) - the use of statistical techniques to measure and improve the quality of processes. "Statistical Process Control Demystified" explains QC 7 tools, estimation, hypothesis testing, control charts, simple linear regression, two-level factorial design, and the analysis of variance. Professionals in manufacturing, sales, marketing, finance, service, or public sectors who are looking to improve performance, products, and services by analyzing their machine and process capabilities will benefit from this book.
More details
Series
Language
English
Place of publication
United States
Publishing group
McGraw-Hill Education - Europe
Target group
Professional and scholarly
ISBN-13
978-0-07-160049-1 (9780071600491)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Persons
Chang W. Kang, Ph.D., is a professor in the Department of Industrial and Information Engineering at Hanyang University. Dr. Paul H. Kvam, Ph.D., is a professor in the School of Industrial & Systems Engineering at Georgia Institute of Technology.
Content
1: Introduction to Importance of Quality Improvement 2: Data Analysis --Descriptive Statistics --Graphical Analysis --Statistical Analysis Confidence Interval Hypothesis Testing 3: Control Chart --Variable Control Chart --Attribute Control Chart --Special Control Chart 4: Simple Linear Regression --Correlation Analysis --Simple Linear Regression Analysis 5: Design of Experiments --One-Way Analysis of Variance --Two-Way Analysis of Variance --Two-level Factorial Design Analysis