Bøker i Advanced Research in Reliability and System Assurance Engineering-serien

This book is a collective work by many leading scientists, analysts, mathematicians, and engineers who have been working on the front end of reliability science and engineering. The book covers conventional and contemporary topics in reliability science, which have seen extended research activates in the recent years.

This new book will include the original, unpublished research studies and articles from the Modeling and Simulation Reliability 2018 conference organized by the editor. The chapters, along with case studies, will describe the latest research and developments and will be of interest to researchers, pratitioners, and academics.

This book will provide the latest research advances in the field of reliability assurance engineering sciences. The book aims to provide a reference for applications of reliability in engineering, offering a theoretical sound background with adequate case studies. Domestic and international perspectives will be included.

Predictive analytics refers to making predictions about the future based on different parameters which are historical data, machine learning, and artificial intelligences. This book provides the most recent advances in the field along with case studies and real-world examples.

This era of science and engineering has attracted researchers tasked with evaluating performance and optimization of problems in the field of operations research. The book covers mathematical analysis, methods and applications involving processes such as system performance, optimization, reliability theory, and queueing theory.

This book addresses the reliability, risk, and safety issues of real industrial systems with application of the latest reliability and riskbased modelling. Related topics such as maintenance decision-making, risk and safety modelling are also addressed with the implementation of decision-making techniques.

Reliability and maintenance modeling with optimization is the most fundamental and interdisciplinary research area that can be applied to every technical and management field. Reliability and Maintenance Modeling with Optimization: Advances and Applications aims at providing the most recent advances and achievements in reliability and maintenance.The book discusses replacement, repair, and inspection, offers estimation and statistical tests, covers accelerated life testing, explores warranty analysis manufacturing, and includes service reliability.The targeted readers are researchers interested in reliability and maintenance engineering. The book can serve as supplemental reading in professional seminars for engineers, designers, project managers, and graduate students.