Economic Statistics, General & Miscellaneous Engineering, Mapped General Business

Reliability Data Analysis with Excel and Minitab

Name: Reliability Data Analysis with Excel and Minitab
Author: Kenneth S. Stephens
ISBN: 9780873898317

by Kenneth S. Stephens

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Overview

Many reliability engineers are gainfully employed in considerations of the physical nature of components and systems—bringing to bear theories and methodologies of physics, electronics, mechanics, material science, chemistry, and so on. But when a product has been designed and manufactured, its performance in terms of durability, strength, and life become a matter of test, measurement, and analysis.

Statistical theories and methodologies provide a large number of analytical tools to assist the reliability engineer in studying the performance of products and the fruits of the physical considerations, even revealing further improvements that can be made in the physical properties. Hence, reliability is a multidisciplined field of endeavor. Statistical theories and methodologies allow estimation of important characteristics as well as levels of confidence or assurance (or lack thereof) with respect to the estimations. They also provide direction in actions necessary to improve estimates and confidence levels if results are too variable to render important decisions.

Some derivations are contained in this text, but the approach here is meant to be more practical, in following each topic introduced and expanded with examples. On each topic covered, reasonably practical examples are used to illustrate and demonstrate the procedures introduced and discussed. For all of these examples either Excel files or Minitab files or both have been prepared (available from Quality Press). They can be readily accessed and opened directly in their respective software packages to permit the preparation of new files specifically for use by the reader.

About the Author, Kenneth S. Stephens

Kenneth S. Stephens has been a member of ASQ for 56 years. He has been a Fellow since 1974, and a CQE since 1966. He is the 1986 E.L. Grant awardee, and the 1993 E. Jack Lancaster awardee. Stephens is an academician emeritus in the International Academy for Quality (IAQ) and a registered professional engineer in the State of Pennsylvania since 1967. His doctorate was completed at Rutgers University under Harold Dodge in 1966, and he received his BS at LeTourneau Technical Institute. His numerous publications include The Handbook of Applied Acceptance Sampling: Plans, Procedures and Principles (ASQ Quality Press, 2001) and Modern Methods for Quality Control and Improvement (John Wiley & Sons, 2002), co-authored with Harry Wadsworth and Blan Godfrey. He edited Volumes 13, 14, and 15 of the IAQ Book Series The Best on Quality, with the last being devoted to the life and work of Joseph M. Juran.

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Editorials

Gregory H. Watson

This book provides a much-needed theoretical text to aid advanced reliability engineering data analysis. Applications using Excel and Minitab support a broad span of probability applications for reliability data analysts. I most strongly recommend this book for seasoned Six Sigma Black Belts or statisticians who must support Design for Six Sigma applications for new product development projects.