Barker / Milivojevich Quality by Experimental Design, Fourth Edition

4. Auflage 2016
ISBN: 978-1-4822-4967-5
Verlag: Taylor & Francis
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 756 Seiten

Achieve Technological Advancements in Applied Science and Engineering Using Efficient Experiments That Consume the Least Amount of Resources

Written by longtime experimental design guru Thomas B. Barker and experimental development/Six Sigma expert Andrew Milivojevich, Quality by Experimental Design, Fourth Edition shows how to design and analyze statistical experiments, drive process and product innovation, and improve productivity. The book presents an approach to experimentation that assesses many factors, builds predictive models, and verifies the models.

New to the Fourth Edition

- Updated computer programs used to perform simulations, including the latest version of Minitab®

- Four new chapters on mixture experiments: Introduction to Mixture Experiments, The Simplex Lattice Design, The Simplex Centroid Design, and Constrained Mixtures

- Additional exercises and Minitab updates

A Proven, Practical Guide for Newcomers and Seasoned Practitioners in Engineering, Applied Science, Quality, and Six Sigma

This bestselling, applied text continues to cover a broad range of experimental designs for practical use in applied research, quality and process engineering, and product development. With its easy-to-read, conversational style, the book is suitable for any course in applied statistical experimental design or Six Sigma program.

Zielgruppe

Quality engineers, Six Sigma professionals, and industrial technologists and researchers.

Autoren/Hrsg.

Barker, Thomas B.

Milivojevich, Andrew

Fachgebiete

• Wirtschaftswissenschaften Betriebswirtschaft Management Qualitätsmanagement, Qualitätssicherung (QS), Total Quality Management (TQM)
• Technische Wissenschaften Maschinenbau | Werkstoffkunde Produktionstechnik Industrielle Qualitätskontrolle

Inhaltsverzeichnis

THE PHILOSOPHY OF EXPERIMENTATION
Why Design Experiments?
Organizing the Experiment
The Neglected Response Variable

STATISTICAL EXPERIMENTAL DESIGN
The Factorial Two-Level Design: General Factorial Designs
Fractional Factorials at Two Levels
Multilevel Designs
Three-Level Designs
Blocking in Factorial Designs
Randomized Block and Latin Square
Nested Designs
Evolutionary Operation

SORTING THE SIGNAL FROM THE NOISE
Simple Analysis
Analysis of Means by Using the Variance
Yates Analysis: Analysis of 2k and 2k-p Designs
Matrix Algebra
Least Squares Analysis
Putting ANOVA and Least Squares to Work
ANOVA for Blocked and Nested Designs

THE DERIVATION OF EMPIRICAL EQUATIONS FROM STATISTICALLY DESIGNED EXPERIMENTS
Case History of an Experimental Investigation

UTILIZATION OF EMPIRICAL EQUATIONS
Robust Design
Monte Carlo Simulation and Tolerance Design
Case History Completed: The Utilization of the Equation

SPECIAL TOPICS IN EXPERIMENTAL DESIGN MIXTURE EXPERIMENTS
Introduction to Mixture Experiments
Simplex Lattice Design
The Simplex Centroid Design
Constrained Mixtures
Statistical Tables and Graphs

Über Autor(innen)

Thomas B. Barker is a professor emeritus at Rochester Institute of Technology (RIT), where he taught for 35 years before retiring in 2005. Prior to RIT, he was an engineer at Xerox. Visit his website for more information.

Andrew Milivojevich, P.Eng., M.Sc., is the president of The Knowledge Management Group Inc. (TKMG), where he manages R&D, Six Sigma, lean workflow simplification, and other business process improvement initiatives for client organizations. He is a fellow of the American Society for Quality (ASQ) and was the first ASQ-certified Six Sigma Black Belt in Canada. Visit his website for more information.