Overview

This textbook on Reliability Theory focusses on Applications in Preventive Maintenance (PM). All models are presented in connection with the relevant statistical material. Short and simply written the book is almost self-contained. The reader needs not more than basic knowledge of calculus, probability and statistics. Each chapter is concluded by a series of exercices with detailed solutions. Numerical solutions are elaborated with Mathematica software. Novel topics are discussed, like PM with learning, choice of the best time-scale for PM, handling multidimensional state description, dealing with uncertainty in data. The book is meant for graduate students, researchers and engineers specializing in Quality Control, Logistics, Reliability and Maintenance Engineering.

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9783540672753

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From the reviews: <p>TECHNOMETRICS <p> a ]a welcome addition to the resources our profession possesses to learn from, teach from, and refer toa ]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 outa ]As a resource for self-study and as a reference for the professional, this book is an example for others to follow. <p>MATHEMATICAL REVIEWS <p> 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 statisticsa ]The book is quite nicely writtena ]One special feature of this book is that it contains many interesting examples, which are used for illustrating the basic concepts and theory.

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