Methods for Reliability Improvement and Risk Reduction

Front Cover
John Wiley & Sons, Dec 10, 2018 - Technology & Engineering - 288 pages

Reliability is one of the most important attributes for the products and processes of any company or organization. This important work provides a powerful framework of domain-independent reliability improvement and risk reducing methods which can greatly lower risk in any area of human activity. It reviews existing methods for risk reduction that can be classified as domain-independent and introduces the following new domain-independent reliability improvement and risk reduction methods:

  • Separation
  • Stochastic separation
  • Introducing deliberate weaknesses
  • Segmentation
  • Self-reinforcement
  • Inversion
  • Reducing the rate of accumulation of damage
  • Permutation
  • Substitution
  • Limiting the space and time exposure
  • Comparative reliability models

The domain-independent methods for reliability improvement and risk reduction do not depend on the availability of past failure data, domain-specific expertise or knowledge of the failure mechanisms underlying the failure modes. Through numerous examples and case studies, this invaluable guide shows that many of the new domain-independent methods improve reliability at no extra cost or at a low cost.

Using the proven methods in this book, any company and organisation can greatly enhance the reliability of its products and operations.

 

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Contents

Basic Concepts
9
Overview of Methods and Principles for Improving Reliability
23
9 Reducing the Risk of Failure by Improving Maintainability
56
4
75
Reducing Risk by Deliberate Weaknesses
81
Improving Reliability and Reducing Risk by Stochastic
97
k Time Fractions of User Demands
112
Improving Reliability and Reducing Risk by Segmentation
125
Reliability Improvement and Risk Reduction Through
177
Negative Impact
190
Improving Reliability and Reducing Risk by Minimising the Rate
197
Improving Reliability by Comparative Models Permutations and
219
5
233
References
251
Index
261
Copyright

Improving Reliability and Reducing Risk by Inversion
149

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About the author (2018)

MICHAEL TODINOV has a background in mechanical engineering, applied mathematics and computer science. He received his PhD and his higher doctorate (DEng) from the University of Birmingham and is currently a professor in mechanical engineering in Oxford Brookes University, UK. Professor Todinov is an internationally acclaimed expert in reliability and risk. In 2017, he received the prestige IMechE award in the area of risk reduction in mechanical engineering. He has published four research monographs and a large number of research papers in the area of reliability and risk. His name is associated with developing theoretical and computational frameworks for analysis and optimisation of repairable flow networks and for reliability analysis based on the cost of failure.

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