Statistical Quality Control Strategies and Tools for Continual Improvement [Paperback]

This text provides the reader with a general and widely-applicable problem solving strategy for use in quality improvement. It covers a variety of statistical and non-statistical problem-solving tools, and discusses techniques that are useful when problems are solved by groups or teams of people. It also shows how the success of problem solving is influenced by the style of management and the type of management-employee interaction.

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

Johannes Ledolter is a Professor at the University of Iowa in the Department of Statistics and Actuarial Science and the Department of Management Sciences, and a Professor at the Wirtschaftsuniversität Vienna, Austria. He received a Ph.D. in Statistics from the University of Wisconsin-Madison in 1975. Professor Ledolter held visiting positions at the University of Wisconsin, Princeton University, and Yale University. His area of resel'