الصفحة 1
الصفحة 1
Warranty chain management : Digitalization and sustainability
Aims to provide a systemic viewpoint for enterprise to establish the warranty chain management system. This book includes warranty management practice, reverse logistics, product reliability engineering, data statistics and analysis, industry 4.0 and artificial intelligence, circular supply chain and sustainable design, and other basic theories and case descriptions.
The Universal Generating Function in Reliability Analysis and Optimization
The Universal Generating Function in Reliability Analysis and Optimization is the first book that gives a comprehensive description of the universal generating function technique and its applications in both binary and multi-state system reliability analysis.an introduction to the basic tools used in multi-state system reliability and optimization; applications of the universal generating function in the most widely used multi-state systems , several examples of how the universal generating function can be adapted to different systems in mechanical, industrial and software engineering.
System Software Reliability
Computer software reliability has never been more important. Today, computers are employed in areas as diverse as air traffic control, nuclear reactors, aircraft, real-time military, industrial process control, security system control, biometric scan-systems, automotive, mechanical and safety control, and hospital patient monitoring systems. Many of these applications require critical functionality as software applications increase in size and complexity. System Software Reliability is an introduction to software reliability engineering as well as a detailed survey of the state-of-the-art techniques, methodologies and tools used to assess the reliability of software and combined software-hardware systems. The most recent research results in the field are reported and future directions in the subject are signposted.
Springer Handbook of Nanotechnology
Since 2004 the Springer Handbook of Nanotechnology has established itself as the definitive reference in the Nanoscience field. It integrates the knowledge from nanofabrication, nanomechanics, materials science, and reliability engineering in just one volume. Reflecting further developments, the new edition has grown from six to eight parts and from 38 to 58 chapters. Existing chapters have been thoroughly updated and new material has been added to cover developing fields such as bionanotechnology, nanorobotics, and NEMS/MEMS reliability. This classic reference book addresses mechanical and electrical engineers, materials scientists, physicists and chemists who work either in the nano area or in a field that is or will be influenced by this new key technology.
Software Design for Resilient Computer Systems
This book addresses the question of how system software should be designed to account for faults, and which fault tolerance features it should provide for highest reliability. With this second edition of Software Design for Resilient Computer Systems the book is thoroughly updated to contain the newest advice regarding software resilience. With additional chapters on computer system performance and system resilience, as well as online resources, the new edition is ideal for researchers and industry professionals.
Shock and Damage Models in Reliability Theory
Describes the reliability properties and maintenance policies associated with shock and damage models. The author is a leading researcher in this field with over thirty years’ experience. The book introduces stochastic processes before surveying current developments in shock and damage models. The reliability quantities of each model are explained and their optimization problems are discussed analytically. The maintenance policies of these models are explored in terms of maintenance theory and reliability theory and practical applications of all of these models are revealed with case studies.
Satisfying Safety Goals by Probabilistic Risk Assessment
Safety is one of the most important issues today. Recent international standards such as ISO and IEC have consistently advocated goal-based procedures of designing systems for better safety. The procedure assumes safety goals are explicitly established by international organizations, individual nations, particular industries or private companies. Satisfying Safety Goals by Probabilistic Risk Assessment is a methodological approach to the goal-based safety design procedure that will soon be an international requirement.
Risk-Conscious Operations Management : An Integrated Paradigm for Complex Engineering System
Presents various concepts and applications related to risk-conscious operations management. It also provides an overview of the risk-based engineering – fundamental to the concept of risk-conscious operations management. It presents the reliability concept to support Dependency Modelling, which includes hardware systems structures and components for reliability improvement and risk reduction. The book further develops and builds attributes and model for risk-conscious culture – critical to characterize operational approach to risk and presents human factor modelling, where it works on developing an approach for human error precursor analysis.
Reliability Engineering : Theory and Practice
This book shows how to build in, evaluate, and demonstrate reliability & availability of components, equipment, systems. It presents the state-of-the-art of reliability engineering, both in theory and practice, and is based on the author's 30 years experience in this field, half in industry and half as Professor of Reliability Engineering at the ETH, Zurich. The structure of the book allows rapid access to practical results. Besides extensions to cost models and approximate expressions, new in this edition are investigations on common cause failures, phased-mission systems, availability demonstration and estimation, confidence limits at system level, trend tests for early failures or wearout, as well as a review of maintenance strategies, an introduction to Petri nets & dynamic FTA, and a set of problems for home-work. Methods and tools are given in a way that they can be tailored to cover different reliability requirement levels and be used for safety analysis as well.
Reliability and Optimal Maintenance
Postgraduates, researchers, and practitioners in reliability engineering, maintenance engineering, operations research, industrial engineering, mechanical engineering, logistics, management, and statistics will find this book a state-of-the-art survey of reliability and maintenance theory and models.
Recent Advances in Reliability and Quality in Design
Recent Advances in Reliability and Quality in Design presents the latest theories and methods of reliability and quality, with emphasis on reliability and quality in design and modeling. Each chapter is written by active researchers and professionals with international reputations, providing material which bridges the gap between theory and practice to trigger new practices and research challenges.
Computational Intelligence in Reliability Engineering : New Metaheuristics, Neural and Fuzzy Techniques in Reliability
This volume contains chapters presenting applications of different metaheuristics (ant colony optimization, great deluge algorithm, cross-entropy method and particle swarm optimization) in reliability engineering. It also includes chapters devoted to cellular automata and support vector machines and different applications of artificial neural networks, a powerful adaptive technique that can be used for learning, prediction and optimization. Several chapters describe different aspects of imprecise reliability and applications of fuzzy and vague set theory.
Computational Intelligence in Reliability Engineering : Evolutionary Techniques in Reliability Analysis and Optimization
This book covers the recent applications of computational intelligence techniques in reliability engineering. This volume contains a survey of the contributions made to the optimal reliability design literature in the resent years and chapters devoted to different applications of a genetic algorithm in reliability engineering and to combinations of this algorithm with other computational intelligence techniques. Genetic algorithms are one of the most widely used metaheuristics, inspired by the optimization procedure that exists in nature, the biological phenomenon of evolution.
MARE-WINT : New Materials and Reliability in Offshore Wind Turbine Technology
This book provides a holistic, interdisciplinary overview of offshore wind energy, and is a must-read for advanced researchers. Topics, from the design and analysis of future turbines, to the decommissioning of wind farms, are covered. The scope of the work ranges from analytical, numerical and experimental advancements in structural and fluid mechanics, to novel developments in risk, safety & reliability engineering for offshore wind. The core objective of the current work is to make offshore wind energy more competitive, by improving the reliability, and operations and maintenance (O&M) strategies of wind turbines.
Justifying the Dependability of Computer-based Systems : With Applications in Nuclear Engineering
The book also explores some of the more fundamental aspects of safety evaluation, such as the nature of models, arguments, evidence and documentation, and the ways to deal with different types of risk and uncertainty. Justifying the Dependability of Computer-based Systems will be of value to software, computer system, instrumentation and control engineers, and regulators working in industry sectors such as nuclear safety.
Advances in Mathematical and Statistical Modeling
Enrique Castillo is a leading figure in several mathematical, statistical, and engineering fields, having contributed seminal work in such areas as statistical modeling, extreme value analysis, multivariate distribution theory, Bayesian networks, neural networks, functional equations, artificial intelligence, linear algebra, optimization methods, numerical methods, reliability engineering, as well as sensitivity analysis and its applications. Organized to honor Castillo's significant contributions, this volume is an outgrowth of the International Conference on Mathematical and Statistical Modeling and covers recent advances in the field. Also presented are applications to safety, reliability and life-testing, financial modeling, quality control, general inference, as well as neural networks and computational techniques.
Advanced Reliability Models and Maintenance Policies
Advanced Reliability Models and Maintenance Policies introduces partition and redundant problems within reliability models, and provides optimization techniques. The book also indicates how to perform maintenance in a finite time span and at failure detection, and to apply recovery techniques for computer systems.
