Statistical Quality Control

The text is written for technique oriented courses on quality like Introduction to Statistical Quality Control/Process Improvement that stress the use of statistical tools.In addition to the statistical tools, the text contains a section (Chapters 2-5) on non-statistical problem solving tools for quality improvement. The main audience for this book are students in both undergraduate and graduate-level courses on Quality or Quality Control taught in Industrial Engineering programs, Statistics Departments and Schools of Business and Management.Other courses include: Applied Statistical Methods, Engineering Statistics, and Statistics for MBA or Executive MBA programs.This book is also appropriate for use in in-house company training courses on quality.

Introduction Detecting and Prioritizing Problems Problem-Solving Strategies Group-Based Problem Solving The Reward Structure: The Human Side of Problem Solving Measurements and Their Importance for Quality Analysis of Information: Graphical Displays and Numerical Summaries Modeling Variability: An Introduction to Probability Distributions Sample Surveys Statistical Inference Under Simple Random Sampling Acceptance Sampling Plans Statistical Process Control: Control Charts Process Capability and PRE-Control Principles of Effective Experimental Design Analysis of Data from Effective Experimental Designs and an Introduction to Factorial Experiments Taguchi Design Methods for Product and Process Improvement Regression Analysis: A Useful Tool for Modeling Relationships