Table of Contents

INTRODUCTION. Fundamental Concepts in Reliability Analysis. Commonly Used Statistical Distributions in Reliability Analysis. CASE STUDIES. Reliability Analysis with Right-Censored and Exact Failure Times. Reliability Analysis with Arbitrarily Censored Failure Times. Nonparametric Reliability Analysis. Warranty Analysis. Accelerated Life Testing. Reliability Test Plan with Constrained Test Time and Number of Failures. Reliability Test Plan with Constrained Sample Size and Number of Failures. Comparison of Reliability of Parts from Different Vendors. Determination of Factors That Affect Product Reliability. Prediction of Stress Levels That Cause Product Failure. Bibliography.

About the Author

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