"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:
- Comprehensively covers a wide range of topics in the area of QRAMs;
- Provides in-depth explanations of best practices in various elements of Performability Engineering;
- Explores expert insights and real-world scenarios to demonstrate the many applications of QRAMs.
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.
Sanjay K. Chaturvedi, PhD is a professor and former head of the Subir Chowdhury School of Quality and Reliability, Indian Institute of Technology, Kharagpur (WB), India with 33 years of teaching and research experience. He’s executed several research and consultancy projects in the QRAMS domain sponsored by private and government organizations. He has published multiple journals articles and three books. His research interests include reliability modeling, analysis, and data, repairable systems, and maintenance.
Heeralal Gargama, PhD is an assistant professor at the Subir Chowdhury School of Quality and Reliability, Indian Institute of Technology, Kharagpur (WB), India since 2021. He has worked in the private industry performing Reliability Availability Maintainability and Safety (RAMS) studies and implementing various projects in the railway, defense, commercial aerospace equipment, and automotive industries. His research focuses on railway RAMS, functional safety, physics of failure, and system modeling and analysis.
Rajiv N. Rai, PhD is an associate professor at the Subir Chowdhury School of Quality and Reliability, Indian Institute of Technology, Kharagpur (WB), India with over 29 years of experience in the field of reliability, quality, and maintenance engineering. He has 23 years of industrial experience with the Indian Air Force, working at all levels of maintenance, repair, and overhaul of aircraft, aeroengines, and their components. His research interests include repairable systems reliability analysis, quality engineering and management, and reliability and maintenance engineering.
