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Importance-Informed Reliability Engineering

Hongyan Dui
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      This book provides university students and practitioners with a collection of importance measures to design systems with high reliability, maintain them with high availability, and restore them in case of failures.Optimal reliability design, properly system maintenance and resilience management are vital for retaining a high level of system availability. Reliability importance measures, which are used to identify the weakest components from different perspectives, can be used to achieve this goal.The book has seven parts. Chapter 1 introduces the basic concepts. Chapter 2 focuses on importance measures for the system design phase and introduces how the system reliability can be improved with importance measures. Chapters 3 and 4 provide importance measures-related methods for scheduling maintenance policies under different scenarios. Chapter 5 provides importance measures for networks. Chapter 6 proposes importance measures for resilience management. The last chapter, or Chapter 7, illustrates the importance measures with case studies adopted from four types of systems: mechanical systems, energy systems, transport networks, and supply chain networks.
      Format: CONTRIBUTORS: Hongyan Dui EAN: 9783031524547 COUNTRY: Switzerland PAGES: WEIGHT: 0 g HEIGHT: 235 cm
      PUBLISHED BY: Springer International Publishing AG DATE PUBLISHED: 2024-04-09 CITY: GENRE: BUSINESS & ECONOMICS / Operations Research, MATHEMATICS / Applied, TECHNOLOGY & ENGINEERING / Industrial Engineering, TECHNOLOGY & ENGINEERING / Mechanical, TECHNOLOGY & ENGINEERING / Machinery WIDTH: 155 cm SPINE:

      Book Themes:

      Operational research, Probability and statistics, Optimization, Mechanical engineering, Production and industrial engineering, Energy, power generation, distribution and storage

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      Dr Dui has been working as a university teacher since 2014. He has 76 papers, including 45+ in component importance, which is the subject of this book.Dr Wu spent five years’ experience as a senior data analyst in a manufacturer in Shanghai, China. He has 21 years’ experience in the UK higher education sector. He has published 100+ journal papers, including seven journal papers on component importance.
      This book provides university students and practitioners with a collection of importance measures to design systems with high reliability, maintain them with high availability, and restore them in case of failures.Optimal reliability design, properly system maintenance and resilience management are vital for retaining a high level of system availability. Reliability importance measures, which are used to identify the weakest components from different perspectives, can be used to achieve this goal.The book has seven parts. Chapter 1 introduces the basic concepts. Chapter 2 focuses on importance measures for the system design phase and introduces how the system reliability can be improved with importance measures. Chapters 3 and 4 provide importance measures-related methods for scheduling maintenance policies under different scenarios. Chapter 5 provides importance measures for networks. Chapter 6 proposes importance measures for resilience management. The last chapter, or Chapter 7, illustrates the importance measures with case studies adopted from four types of systems: mechanical systems, energy systems, transport networks, and supply chain networks.
      Format: CONTRIBUTORS: Hongyan Dui EAN: 9783031524547 COUNTRY: Switzerland PAGES: WEIGHT: 0 g HEIGHT: 235 cm
      PUBLISHED BY: Springer International Publishing AG DATE PUBLISHED: 2024-04-09 CITY: GENRE: BUSINESS & ECONOMICS / Operations Research, MATHEMATICS / Applied, TECHNOLOGY & ENGINEERING / Industrial Engineering, TECHNOLOGY & ENGINEERING / Mechanical, TECHNOLOGY & ENGINEERING / Machinery WIDTH: 155 cm SPINE:

      Book Themes:

      Operational research, Probability and statistics, Optimization, Mechanical engineering, Production and industrial engineering, Energy, power generation, distribution and storage

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      Be the first to write a review
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      Dr Dui has been working as a university teacher since 2014. He has 76 papers, including 45+ in component importance, which is the subject of this book.Dr Wu spent five years’ experience as a senior data analyst in a manufacturer in Shanghai, China. He has 21 years’ experience in the UK higher education sector. He has published 100+ journal papers, including seven journal papers on component importance.

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