
Design and Manufacturing Practices for Performability Engineering
- 449 pages
- English
- PDF
- Available on iOS & Android
Design and Manufacturing Practices for Performability Engineering
About this book
"As technology continues to reshape the world, this book stands as a testament to the importance of maintaining the highest standards of performability engineering in the pursuit of progress. I expect that this book will inspire the next generation of innovators and problem solvers to tackle the challenges and opportunities of today and tomorrow, ensuring a future where technology serves humanity with utmost dependability and safety". Professor Way Kuo in the Foreword to Design and Manufacturing Practices for Performability Engineering
There are several aspects involved when evaluating a system's performance, such as reliability, cost, quality, safety, maintainability, risks, and performance-related characteristics. Performability engineering provides a unified framework for integrating these aspects in a quantified manner, enabling informed decisions about a system. However, this field faces the daunting task of unifying diversified disciplines and theories that address issues such as quality, reliability, availability, maintainability, and safety (QRAMS), as well as engineering characteristics, statistical data analysis, multi-criteria decision-making, and applications of deep and machine learning. This book documents the latest ideas presented by world leaders in the QRAMS domain. Through diverse chapters, this volume represents the vitality of QRAMS in performability engineering. Design and Manufacturing Practices for Performability Engineering serves as a useful resource for practicing engineers and researchers pursuing this challenging and relevant area for sustainable development.
Readers will find the book:
- Describes network reliability measures and algorithms to evaluate them in an easily understandable manner;
- Introduces the notion of global cuts and their applications to evaluate reliability measures and flow network reliability, and provides a general framework for reliability evaluation;
- Serves as a valuable reference and primer in the area of network reliability;
- Offers up-to-date research in the field of network reliability.
Audience
Researchers and educators of reliability engineering, electrical, computer science, electronics, and communication engineering with their associated allied areas. Industry analysts and design engineers of engineering systems will also find this book valuable.
Frequently asked questions
- Essential is ideal for learners and professionals who enjoy exploring a wide range of subjects. Access the Essential Library with 800,000+ trusted titles and best-sellers across business, personal growth, and the humanities. Includes unlimited reading time and Standard Read Aloud voice.
- Complete: Perfect for advanced learners and researchers needing full, unrestricted access. Unlock 1.4M+ books across hundreds of subjects, including academic and specialized titles. The Complete Plan also includes advanced features like Premium Read Aloud and Research Assistant.
Please note we cannot support devices running on iOS 13 and Android 7 or earlier. Learn more about using the app.
Information
Table of contents
- Cover
- Series Page
- Title Page
- Copyright Page
- Contents
- Foreword
- Preface
- Acknowledgment
- Chapter 1 Mathematical and Physical Reality of Reliability
- Chapter 2 Models and Solutions for Practical Reliability and Availability Assessment
- Chapter 3 Reliability Prediction of Artificial Hip Joints
- Chapter 4 Principles and Philosophy for an Integrated and Distributed Approach for Reliability and Extensions to Other Qualities
- Chapter 5 An Analytic Toolbox for Optimizing Condition Based Maintenance (CBM) Decisions
- Chapter 6 Degradation Modeling with Imperfect Maintenance
- Chapter 7 Asset Maintenance in Railway: Powered by New Technology and Driven by Sustainability
- Chapter 8 ISO 14001 History and Applications
- Chapter 9 Process Failure Mode and Effects Analysis (PFMEA) with Fuzzy ANP-MARCOS-Based Approach for Manufacturing Process Quality Assessment
- Chapter 10 Advanced Neural Networks for Estimation of All-Terminal Network Reliability
- Chapter 11 Power Converter Fault Classification Using Multi-Sensor Fusion and 1D-CNN Approach
- Chapter 12 Assessment of System Reliability Using Quantum Computers: A Primer
- Chapter 13 Safety Integrity Allocation for Railway Systems
- Chapter 14 A New Approach to Economic Development: Implications for India’s Emergence as a Global Manufacturing Hub
- Chapter 15 Challenges in Applying Reliability Engineering in Product Development
- Chapter 16 Challenges and Research Opportunities for Reliability Engineering with Evolving Industry
- Index
- Also of Interest
- EULA