Design and Manufacturing Practices for Performability Engineering serves as a guide, generating innovative ideas and fostering a deeper understanding of the multifaceted nature of performability engineering. The present text is aimed at providing modeling and analysis techniques for the evaluation of reliability measures for systems whose structures can be described in the form of a probabilistic graph. The chapters in this book are diverse and represent the vitality of the majority of QRAMS aspects of performability engineering. It describes techniques, illustrated through several examples, for enumerative minimal paths and methods to obtain the aforementioned reliability measures. 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.
Section one begins with an exploration of the mathematical and physical realities of reliability, delving into the importance of understanding the duality between mathematical predications and physical observations. In addition, the section also provides valuable insights into the principles and practices of quality improvement, as well as the integration of time-predicting concepts. Section two examines the advancements in transformative technologies such as predictive analytics, AI, IoT, and automation that have revolutionized how railway assets are managed. It also contains discussions on convolution neural networks, the integration of quantum computing, and data-driven methods. Section three provides overviews and strategies to overcome key challenges in evolving engineering practices. Furthermore, it emphasizes the need for engineers to practice safety with new product launches.
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.
