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Reliability (Engineering) --- Reliability of equipment --- Systems reliability --- Engineering --- Maintainability (Engineering) --- Probabilities --- Systems engineering --- Plant performance --- Safety factor in engineering --- Structural failures
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Reliability (Engineering) --- Engineering systems. --- Engineering mathematics. --- Engineering --- Reliability of equipment --- Systems reliability --- Maintainability (Engineering) --- Probabilities --- Systems engineering --- Plant performance --- Safety factor in engineering --- Structural failures --- Engineering analysis --- Mathematical analysis --- Mathematics
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Natural computation. --- Computational intelligence. --- Reliability (Engineering) --- Computational neuroscience. --- Computational neurosciences --- Computational biology --- Neurosciences --- Reliability of equipment --- Systems reliability --- Engineering --- Maintainability (Engineering) --- Probabilities --- Systems engineering --- Plant performance --- Safety factor in engineering --- Structural failures --- Intelligence, Computational --- Artificial intelligence --- Soft computing --- Biologically-inspired computing --- Bio-inspired computing --- Natural computing --- Bionics --- Electronic data processing
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Gain a foundational understanding of SRE and learn its basic concepts and architectural best practices for deploying Azure IaaS, PaaS, and microservices-based resilient architectures. The book starts with the base concepts of SRE operations and developer needs, followed by definitions and acronyms of Service Level Agreements in real-world scenarios. Moving forward, you will learn how to build resilient IaaS solutions, PaaS solutions, and microservices architecture in Azure. Here you will go through Azure reference architecture for high-available storage, networking and virtual machine computing, describing Availability Sets and Zones and Scale Sets as main scenarios. You will explore similar reference architectures for Platform Services such as App Services with Web Apps, and work with data solutions like Azure SQL and Azure Cosmos DB. Next, you will learn automation to enable SRE with Azure DevOps Pipelines and GitHub Actions. You'll also gain an understanding of how an open culture around post-mortems dramatically helps in optimizing SRE and the overall company culture around managing and running IT systems and application workloads. You'll be exposed to incent management and monitoring practices, by making use of Azure Monitor/Log Analytics/Grafana, which forms the foundation of monitoring Azure and Hybrid-running workloads. As an extra, the book covers two new testing solutions: Azure Chaos Studio and Azure Load Testing. These solutions will make it easier to test the resilience of your services. After reading this book, you will understand the underlying concepts of SRE and its implementation using Azure public cloud.
Reliability (Engineering) --- Microsoft Azure (Computing platform) --- Engineering --- Cyberinfrastructure --- Management. --- Reliability of equipment --- Systems reliability --- Maintainability (Engineering) --- Probabilities --- Systems engineering --- Plant performance --- Safety factor in engineering --- Structural failures --- Windows Azure (Computing platform) --- Computing platforms --- Cyber-based information systems --- Cyber-infrastructure --- Electronic data processing --- Information technology --- Computer networks --- Computer systems --- Distributed databases --- High performance computing --- Civil engineering --- Structural engineering --- Distributed processing --- Management
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This book discusses the application of quality and reliability engineering in Asian industries, and offers information for multinational companies (MNC) looking to transfer some of their operation and manufacturing capabilities to Asia and at the same time maintain high levels of reliability and quality. It is also provides small and medium enterprises (SME) in Asia with insights into producing high-quality and reliable products. It mainly comprises peer-reviewed papers that were presented at the Asian Network for Quality (ANQ) Congress 2014 held in Singapore (August, 2014), which provides a platform for companies, especially those within Asia where rapid changes and growth in manufacturing are taking place, to present their quality and reliability practices. The book presents practical demonstrations of how quality and reliability methodologies can be modified for the unique Asian market, and as such is a valuable resource for students, academics, professionals and practitioners in the field of quality and reliability.
Engineering. --- Production management. --- Engineering economics. --- Engineering economy. --- Quality control. --- Reliability. --- Industrial safety. --- Quality Control, Reliability, Safety and Risk. --- Operations Management. --- Engineering Economics, Organization, Logistics, Marketing. --- Reliability (Engineering) --- Quality control --- Reliability of equipment --- Systems reliability --- Industrial accidents --- Industries --- Job safety --- Occupational hazards, Prevention of --- Occupational health and safety --- Occupational safety and health --- Prevention of industrial accidents --- Prevention of occupational hazards --- Safety, Industrial --- Safety engineering --- Safety measures --- Safety of workers --- Accidents --- System safety --- Dependability --- Trustworthiness --- Conduct of life --- Factory management --- Industrial engineering --- Sampling (Statistics) --- Standardization --- Quality assurance --- Quality of products --- Economy, Engineering --- Engineering economics --- Manufacturing management --- Industrial management --- Construction --- Industrial arts --- Technology --- Prevention --- Engineering --- Maintainability (Engineering) --- Probabilities --- Systems engineering --- Plant performance --- Safety factor in engineering --- Structural failures --- System safety. --- Safety, System --- Safety of systems --- Systems safety --- Industrial safety
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This book is dedicated to Jinhua Cao on the occasion of his 80th birthday. Jinhua Cao is one of the most famous reliability theorists. His main contributions include: published over 100 influential scientific papers; published an interesting reliability book in Chinese in 1986, which has greatly influenced the reliability of education, academic research and engineering applications in China; initiated and organized Reliability Professional Society of China (the first part of Operations Research Society of China) since 1981. The high admiration that Professor Cao enjoys in the reliability community all over the world was witnessed by the enthusiastic response of each contributor in this book. The contributors are leading researchers with diverse research perspectives. The research areas of the book iclude a broad range of topics related to reliability models, queueing theory, manufacturing systems, supply chain finance, risk management, Markov decision processes, blockchain and so forth. The book consists of a brief Preface describing the main achievements of Professor Cao; followed by congratulations from Professors Way Kuo and Wei Wayne Li, and by Operations Research Society of China, and Reliability Professional Society of China; and further followed by 25 articles roughly grouped together. Most of the articles are written in a style understandable to a wide audience. This book is useful to anyone interested in recent developments in reliability, network security, system safety, and their stochastic modeling and analysis.
Reliability (Engineering) --- Reliability of equipment --- Systems reliability --- Engineering --- Maintainability (Engineering) --- Probabilities --- Systems engineering --- Plant performance --- Safety factor in engineering --- Structural failures --- Computer science—Mathematics. --- Computer communication systems. --- Artificial intelligence. --- Math Applications in Computer Science. --- Mathematics of Computing. --- Computer Communication Networks. --- Artificial Intelligence. --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Electronic data processing --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Communication systems, Computer --- Computer communication systems --- Data networks, Computer --- ECNs (Electronic communication networks) --- Electronic communication networks --- Networks, Computer --- Teleprocessing networks --- Data transmission systems --- Digital communications --- Electronic systems --- Information networks --- Telecommunication --- Cyberinfrastructure --- Network computers --- Distributed processing
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This book promotes and describes the application of objective and effective decision making in asset management based on mathematical models and practical techniques that can be easily implemented in organizations. This comprehensive and timely publication will be an essential reference source, building on available literature in the field of asset management while laying the groundwork for further research breakthroughs in this field. The text provides the resources necessary for managers, technology developers, scientists and engineers to adopt and implement better decision making based on models and techniques that contribute to recognizing risks and uncertainties and, in general terms, to the important role of asset management to increase competitiveness in organizations.
Engineering. --- Production management. --- Operations research. --- Decision making. --- Mathematical optimization. --- Probabilities. --- Engineering economics. --- Engineering economy. --- Quality control. --- Reliability. --- Industrial safety. --- Engineering Economics, Organization, Logistics, Marketing. --- Optimization. --- Probability Theory and Stochastic Processes. --- Operations Management. --- Quality Control, Reliability, Safety and Risk. --- Operation Research/Decision Theory. --- Industrial accidents --- Industries --- Job safety --- Occupational hazards, Prevention of --- Occupational health and safety --- Occupational safety and health --- Prevention of industrial accidents --- Prevention of occupational hazards --- Safety, Industrial --- Safety engineering --- Safety measures --- Safety of workers --- Dependability --- Trustworthiness --- Economy, Engineering --- Engineering economics --- Probability --- Statistical inference --- Optimization (Mathematics) --- Optimization techniques --- Optimization theory --- Systems optimization --- Deciding --- Decision (Psychology) --- Decision analysis --- Decision processes --- Making decisions --- Management --- Management decisions --- Operational analysis --- Operational research --- Manufacturing management --- Construction --- Prevention --- Decision making --- Plant maintenance. --- Reliability (Engineering) --- Reliability of equipment --- Systems reliability --- Engineering --- Maintainability (Engineering) --- Probabilities --- Systems engineering --- Plant performance --- Safety factor in engineering --- Structural failures --- Factories --- Industrial maintenance --- Maintenance --- Plant engineering --- Maintenance and repair --- Distribution (Probability theory. --- System safety. --- Operations Research/Decision Theory. --- Mathematical analysis --- Maxima and minima --- Operations research --- Simulation methods --- System analysis --- Industrial engineering --- Management science --- Research --- System theory --- Safety, System --- Safety of systems --- Systems safety --- Accidents --- Industrial safety --- Industrial management --- Distribution functions --- Frequency distribution --- Characteristic functions --- Choice (Psychology) --- Problem solving --- System safety --- Conduct of life --- Factory management --- Sampling (Statistics) --- Standardization --- Quality assurance --- Quality of products --- Combinations --- Mathematics --- Chance --- Least squares --- Mathematical statistics --- Risk
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