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Reliability Analysis with Minitab




ISBN 9781498737586
Published March 21, 2016 by CRC Press
160 Pages - 216 B/W Illustrations

 
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Book Description

Statistical Analysis for the Reliability Engineering Professional

Effectively conduct reliability analysis using the world’s leading statistical software. Reliability Analysis with Minitab® outlines statistical concepts and applications, explains the theory of probability, reliability analysis, and quality improvement, and provides step-by-step instruction on the use of Minitab. Minitab introduces reliability analysis tools that can be used to perform tasks that range from checking the distribution fit of lifetime data to estimating the warranty costs of a product.

Perform the Analyses Needed to Minimize Product Failures and Reduce Costs

Chock full of examples that include numerous case studies and over 200 screenshots, this book is a comprehensive guide to quality and reliability in the service and manufacturing industries. It illustrates the shapes of the most commonly used statistical distributions in reliability analysis, and in simple language demonstrates concepts that include parametric reliability analysis, nonparametric reliability analysis, warranty analysis, accelerated life testing, reliability test plans, and probit analysis.

Illustrating the application of Minitab for reliability analysis, this book explains how to:

  • Perform reliability analysis of a product with right-censored and exact failure time data
  • Complete reliability analysis of a product with arbitrarily censored failure time data
  • Achieve nonparametric reliability analysis of a product
  • Predict the amount of money that is needed to cover the warranty costs for products in a specific period of time in the future
  • Analyze the results from accelerated life testing on two different products
  • Determine the reliability test sample size when the test time and the number of failures are constrained
  • Regulate the testing time when test sample size and the number of failures are constrained
  • Compare the reliabilities of parts from different vendors
  • Test whether the reliability of a product depends on certain factors
  • Predict the stress level at which a product will fail after a certain test period

Table of Contents

INTRODUCTION

Fundamental Concepts in Reliability Analysis
Types of Failure Time
Probability Functions in Reliability
Book Outline

Commonly Used Statistical Distributions in Reliability Analysis

Smallest Extreme Value
Weibull
Three-Parameter Weibull
Exponential
Two-Parameter Exponential
Normal
Lognormal
Three-Parameter Lognormal
Logistic
Loglogistic
Three-Parameter Loglogistic
Conclusion

CASE STUDIES

Reliability Analysis with Right-Censored and Exact Failure Times

Determination of Statistical Distribution
Reliability Analysis
Conclusion

Reliability Analysis with Arbitrarily Censored Failure Times

Determination of Statistical Distribution
Reliability Analysis
Additional Example
Conclusion

Nonparametric Reliability Analysis

Nonparametric Analysis with Exact and Right-Censored Failure Times
Nonparametric Analysis with Arbitrarily Censored Failure Times
Conclusion

Warranty Analysis

Preprocessing of Raw Data
Warranty Analysis
Additional Example
Conclusion

Accelerated Life Testing

Accelerated Life Testing and Analysis
Additional Example
Conclusion

Reliability Test Plan with Constrained Test Time and Number of Failures

Determination of Test Sample Size
Additional Scenarios
Conclusion

Reliability Test Plan with Constrained Sample Size and Number of Failures

Determination of Testing Time
Additional Scenarios
Conclusion

Comparison of Reliability of Parts from Different Vendors

Failure Time Data
Regression Analysis
Additional Example
Conclusion

Determination of Factors That Affect Product Reliability

Failure Time Data
Determination of Factors Affecting Reliability
Additional Example
Conclusion

Prediction of Stress Levels That Cause Product Failure

Probit Analysis
Interpretation of Output
Conclusion

Bibliography

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Author(s)

Biography

Kishore K. Pochampally is a professor at Southern New Hampshire University. He teaches lean six sigma, business analytics, project management, and operations management. He holds a Ph.D. in industrial engineering from Northeastern University. He is a Six Sigma Black Belt (ASQ), Project Management Professional (PMP®), and Certified Analytics Professional (CAP®).

Surendra M. Gupta is a professor of mechanical and industrial engineering and the director of the laboratory for responsible manufacturing at Northeastern University. He received his BE from Birla Institute of Technology and Science, MBA from Bryant University, and MSIE and Ph.D. from Purdue University. Dr. Gupta’s research interests span the areas of production/manufacturing systems and operations research. He has authored/coauthored well over 500 technical papers published in books, journals and international conference proceedings which have been cited worldwide by thousands of researchers. He is the recipient of outstanding research, industrial engineering professor, and doctoral dissertation advisor awards.

Reviews

"… a very good resource for both academicians and industry professionals with easy to understand applications and up-to-date definitions of relevant topics. I highly recommend it to both undergraduate and graduate students in engineering and management disciplines. The topics are applicable to service products as well as to manufacturing processes."
—Elif Kongar, University of Bridgeport, Connecticut, USA

"This book will be remembered as a handbook of reliability analysis using Minitab. Haven’t come across such a simple and effective means of teaching one on how to carry out such analysis using an industry wide popular software … I would strongly encourage everyone working/studying reliability engineering to keep a copy on their shelves."
—Dr. Satish Nukala, Halliburton Energy Services

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