"... 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
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:
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Descripción Gebunden. Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. 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 Univer. Nº de ref. del artículo: 596130580
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