Overview
- Introduction to reliability theory written from a mathematician for industrial engineering students
- Special emphasis is laid on preventive maintenance
- Includes supplementary material: sn.pub/extras
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Table of contents (7 chapters)
Keywords
About this book
Reviews
From the reviews:
TECHNOMETRICS
"…a welcome addition to the resources our profession possesses to learn from, teach from, and refer to…Overall, this is a wonderful book. The theory is sound, the examples are practical, real concerns are treated, and the exposition, although economical, is well organized and logically laid out…As a resource for self-study and as a reference for the professional, this book is an example for others to follow."
MATHEMATICAL REVIEWS
"This book gives a very concrete introduction to basic preventive maintenance policies in reliability theory. The material is presented in an elementary way which makes it accessible for readers with basic knowledge of calculus, probability and statistics. Each chapter is concluded by a series of problems with detailed solutions. Overall, the book can be used as an excellent master-level textbook in maintenance policy for graduate students in industrial engineering, operation research, applied probability and statistics…The book is quite nicely written…One special feature of this book is that it contains many interesting examples, which are used for illustrating the basic concepts and theory."
Authors and Affiliations
Bibliographic Information
Book Title: Reliability Theory
Book Subtitle: With Applications to Preventive Maintenance
Authors: Ilya Gertsbakh
DOI: https://doi.org/10.1007/978-3-662-04236-6
Publisher: Springer Berlin, Heidelberg
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eBook Packages: Springer Book Archive
Copyright Information: Springer-Verlag Berlin Heidelberg 2000
Hardcover ISBN: 978-3-540-67275-3Published: 25 September 2000
Softcover ISBN: 978-3-642-08665-6Published: 01 December 2010
eBook ISBN: 978-3-662-04236-6Published: 21 December 2013
Edition Number: 1
Number of Pages: XII, 219
Topics: Quality Control, Reliability, Safety and Risk, Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences, Probability Theory and Stochastic Processes