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Reliability and maintenance modeling with optimization is the most fundamental and interdisciplinary research area and it can be applied to every technical and management field. This monograph provides the most recent advances and achievements in reliability and maintenance.
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.
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 covers both a descriptive and inferential approach of reliability design in the development process of mechanical products, along with a focus on parametric accelerated life testing and case studies. This new reliability methodology enables the engineer to uncover the faulty design of the product and avoid recalls in the marketplace.
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 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.
Any activity is aimed at solving certain problems, which means transferring a system from an existing unsatisfactory problematic state, to a desired state. This book covers the theory and experience of successfully solving problems in a practical and general way.
This new book will include the original, unpublished research studies and articles from the Modeling and Simulation Reliability 2018 conference organized by the editor.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.
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