Cover image for Statistical quality control : strategies and tools for continual improvement
Statistical quality control : strategies and tools for continual improvement
Ledolter, Johannes.
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Publication Information:
New York : Wiley, [1999]

Physical Description:
x, 526 pages : illustrations ; 25 cm
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TS156 .L43 1999 Adult Non-Fiction Non-Fiction Area

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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.

Author Notes

Johannes Ledolter is a Professor at the University of Iowain the Department of Statistics and Actuarial Science and theDepartment of Management Sciences, and a Professor at theWirtschaftsuniversität Vienna, Austria. He received a Ph.D. inStatistics from the University of Wisconsin-Madison in 1975.Professor Ledolter held visiting positions at the University ofWisconsin, Princeton University, and Yale University. His area ofresearch centers around time series analysis and forecasting,statistical methods for quality improvement, and applications ofstatistics in business and engineering. He has coauthored the books Statistical Methods for Forecasting , published by Wiley in1983, and Applied Statistics for Engineers and PhysicalScientists , published by Macmillan (Prentice Hall) in 1992.Heand Dr. Burrill are coauthors of the book Achieving QualityThrough Continual Improvement , published by Wiley in 1999.Professor Ledolter is a Fellow of the American StatisticalAssociation, and an Elected Member of the International StatisticalInstitute.

Dr. Claude W. Burrill is a consultant on quality andproject management. He is an Adjunct Professor in the School ofBusiness at the University of Iowa. He received a Ph.D. inMathematics from the University of Iowa in 1952, and an honorarydoctorate from William Patterson College of New Jersey in 1979. Hisexperience includes a year as a Fulbright Scholar at the Universityof Manchester, UK, ten years as a member of the New York UniversityGraduate Center at Bell Labs, and ten years as a member of the IBMSystems Research Institute. He has held visiting facultyappointments at Columbia University, Dartmouth College, and theNational University of Singapore, and has lectured and consultedinternationally. He has authored or coauthored eight books on avariety of topics, including mathematics, probability, computermodeling, quality, and project management. He and ProfessorLedolter are coauthors of the book Achieving Quality ThroughContinual Improvement , published by Wiley in 1999.

Table of Contents

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