This book describes a practical tool to help problem solvers and system designers in a wide variety of settings. The fact that tolerance analysis is known by various other names in various settings - propagation of error, moment propagation, and uncertainty analysis - attests to the wide applicability of this methodology for dealing with random input variables that determine the value of an output variable under consideration.
The author shows the derivation of the method's mathematical foundation, shows potential applications, and gives fully developed numerical results for the applications, which are as diverse as analysis of manufacturing tolerances, scheduling of facilities, inventory loss evaluation, product performance as affected by component performance, and profitability analysis.
If you are already familiar with tolerance analysis under any of its various names, read this book for a clearer understanding, a review of the derivation, and an idea of extended applications. If you are unfamiliar, by all means, read this book.
Foreword
Abstract
Chapter 1.0. : Introduction
Chapter 2.0. : Basic Principles
Chapter 3.0. : Density Function Approximation
Chapter 4.0. : Numerical Examples of Tolerance Analysis
Chapter 5.0. : Summary
Chapter 6.0. : Acknowledgements
References
Appendix A : Table of Percentage Points of Pearson Curves
Appendix B : Second Order Tolerance Analysis Formulas For Four Moments of Response
Appendix C : Source for Computer Programs
Appendix D : Derivatives and Coefficients for Profitability Analysis Example
