Successful Industrial Experimentation

This book is an introductory guide to process and product improvement through the use of simple quality improvement techniques and experimental design methodology. The fundamentals of a sound experimental approach to problem-solving which incorporates valid statistical analysis is stressed. All techniques presented in this book have been applied in a variety of industrial situations by individuals with varying academic backgrounds. This book is particulary beneficial to those individuals who are interested in performing experiments but have no inclination toward becoming a statistician.

It is an ideal textbook for college courses on experimental techniques, correspondence courses or for self paced study programs.

Dieses Buch ist ein Leitfaden zur Prozeß- und Produktveredelung durch den Gebrauch einfacher technischer Qualitätsverbesserungen und experimenteller Gestaltungsmethodik. Der Akzent liegt auf den Grundprinzipien, von der folgerichtigen experimentellen Annäherung bis hin zur Problemlösung, die auch stichhaltige statistische Analyse einschließen. Alle Techniken, die in diesem Buch vorgestellt werden, wurden bereits in der Industrie in den verschiedensten Bereichen von Personen mit unterschiedlichsten Grundvoraussetzungen angewandt.

Gerade für Personen, die mehr an der praktischen Durchführung von Experimenten interessiert sind, jedoch nicht zur theoretischen Statistik neigen, ist dieses Werk sehr nützlich.

Es ist ein ideales Buch für Studiengänge zur experimentellen Technik und ist auch für das Fernstudium geeignet. Getting Started.

Data Collection.

Pareto Charts.

Cause and Effect Diagrams.

Basic Statistics.

Analysis of Variance.

Screening Experiments.

Anova For Screening Experiments.

Appendices.

References.

Index. Kurzfassung:

From the Contents:
Introduction/
Getting Started/
Data Collection/
Pareto Charts/
Cause & Effect Diagrams/
Basic
Statistics/
Analysis of Variance/
Screening Experiments/
Anova For Screening Experiments/
Appendix/
Index



Langfassung:

Contents:

CHAPTER ONE
Introduction

1.1 Why Conduct Experiments?
1.2 Stages of Experimentation


CHAPTER TWO
Getting Started

2.1 Flow Diagrams
2.2 Construction of a Flow Diagram


CHAPTER THREE
Data Collection

3.1 Check Sheets
3.2 Types of Check Sheets
3.3 Construction of a Check Sheet
3.4 Disappearing Income


CHAPTER FOUR
Pareto Charts

4.1 Pareto Principle
4.2 Construction of a Pareto Chart


CHAPTER FIVE
Cause & Effet Diagrams

5.1 Introduction
5.2 Types of Diagrams
5.2.1 Dispersion Analysis
5.2.2 Production Process Classification
5.2.3 Case Enumeration
5.3 Construction of Cause & Effect Diagrams


CHAPTER SIX
Basic Statistics

6.1 Introduction
6.2 Descriptive Statistics
6.3 Samples and Populations
6.4 Average
6.5 Mean
6.6 Median
6.7 Variation
6.8 Standard Deviation and Variances
6.8.1 Calculation of the Standard Deviation
6.8.2 Alternate Standard Deviation Euqation
6.9 Normal Distribution
6.10 Hypothesis Formulation
6.11 Error and Risk
6.12 Statistic


CHAPTER SEVEN
Analysis of Variance

7.1 One-Way Analysis of Variance
7.2 Changing Fuel Efficiency
7.3 Types of Variation
7.4 Variance
7.5 Sums of Squares
7.6 Degree of Freedom
7.7 Generation of a One-Way Analysis of Variance Table
7.8 Two-Way Analysis of Variance
7.9 Determination of F statistic


CHAPTER EIGHT
Screening Experiments

8.1 What are Screening Experiments?
8.2 Orthogonal Arrays
8.3 Confounding
8.3.1 Interactions
8.3.2 Confounding Patterns
8.4 Resolution
8.5 Selecting a Design
8.6 Selecting Response Variables
8.7 Assigning Factors to a Design
8.8 Choosing Factor Ranges
8.9 Determining the Reasonableness of the Ranges Selected
8.10 Sample Size
8.11 Determination of Sample Sizes


CHAPTER NINE
Anova For Screening Experiments

9.1 Case Study -
Batting Average
9.2 Calculation of the Level Sums
9.3 Level Sums Table
9.4 Sums of Squares
9.5 Significance Plot
9.6 Pooled Error ANOVA Table
9.7 Variance
9.8 Calculation of the F Statistic
9.9 Expected Sumes of Squares and Percent Contribution
9.10 Interpretation of ANOVA Table
9.11 Estimation of Best Run Conditions
9.12 Confidence Intervals
9.13 Confirmation Experiment


Appendix A
Appendix B
Appendix C
Appendix D
Appendix E

Index

B. Kyle is the author of Successful Industrial Experimentation, published by Wiley. Successful Industrial Experimentation Brett Kyle Successful Industrial Experimentation is an introductory guide to process and product improvement through the use of simple quality improvement techniques and experimental design methodology. The author stresses the fundamentals of a sound experimental approach to problem solving that incorporates valid statistical analysis. All techniques presented in this book have been applied in a variety of industrial situations by individuals with varying academic backgrounds. The book will be particularly beneficial to those interested in performing experiments but who have a limited understanding of statistics. It includes easy-to-follow, step-by-step instructions on how to conduct effective experiments from concept to interpretation and optimization, using flow charts and a "cookbook" approach. This book is intended for chemists, biologists, engineers, technicians, systems designers, and operations and quality control supervisors. Also available from VCH Automation in the Laboratory W. Jeffrey Hurst, ed. Hardcover, ISBN 1-56081-025-4 Inorganic Experiments J. D. Woollins, ed. Hardcover, ISBN 3-527-29235-7 Softcover, ISBN 3-527-29253-5