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Industrial engineering --- Industrial engineering. --- Industrial and Production Engineering --- Quality Control; Reliability; Safety and Risk --- Facility Management --- Engineering Economics; Organization; Logistics; Marketing --- Appl.Mathematics/Computational Methods of Engineering --- Management engineering --- Engineering --- Value analysis (Cost control) --- industrial and production engineering --- quality control; reliability; safety and risk --- facility management --- engineering economics; organization; logistics; marketing --- appl.mathematics/computational methods of engineering --- Simplification in industry --- Production management
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This book is open access under a CC BY 4.0 license. This book summarizes work being pursued in the context of the CIPRNet (Critical Infrastructure Preparedness and Resilience Research Network) research project, co-funded by the European Union under the Seventh Framework Programme (FP7). The project is intended to provide concrete and on-going support to the Critical Infrastructure Protection (CIP) research communities, enhancing their preparedness for CI-related emergencies, while also providing expertise and technologies for other stakeholders to promote their understanding and mitigation of the consequences of CI disruptions, leading to enhanced resilience. The book collects the tutorial material developed by the authors for several courses on the modelling, simulation and analysis of CIs, representing extensive and integrated CIP expertise. It will help CI stakeholders, CI operators and civil protection authorities understand the complex system of CIs, and help them adapt to these changes and threats in order to be as prepared as possible for mitigating emergencies and crises affecting or arising from CIs.
Pathology --- Medicine --- Health & Biological Sciences --- Medicine. --- Cardiology. --- Hematology. --- Surgery. --- Medicine & Public Health. --- Surgery, Primitive --- Haematology --- Internal medicine --- Blood --- Heart --- Clinical sciences --- Medical profession --- Human biology --- Life sciences --- Medical sciences --- Physicians --- Diseases --- Computational complexity. --- Computer simulation. --- Quality control. --- Reliability. --- Industrial safety. --- Electrical engineering. --- Complexity. --- Simulation and Modeling. --- Quality Control, Reliability, Safety and Risk. --- Communications Engineering, Networks.
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The purpose of the Fringe Proceedings is to present to engineers, scientists and industrial experts the state-of-the-art and the impact of Optical Metrology in Imaging, Surface Monitoring, Stress Analysis, Non-Destructive Testing, Quality Control, and related fields. Topics of particular interest are: New Methods and Tools for the Generation, Acquisition, Processing, and Evaluation of Data in Optical Metrology (Digital Wavefront Engineering) Application Enhanced Technologies in Optical Metrology (Addressing enhanced Resolution, Reliability and Flexibility) 4D Optical Metrology over a Large Scale Range (from Macro to Nano) Hybrid Measurement Techniques (Sensor Fusion and the Unification of Modeling, Simulation and Experiment) New Optical Sensors and Measurement Systems for Industrial Inspection. Special emphasis is put on modern measurement strategies, taking into account the active combination of physical modelling, computer aided simulation and experimental data acquisition. Special emphasis is directed towards new approaches for the extension of existing resolution limits that open the gates to wide scale metrology, ranging from nano to macro, by using advanced optical sensor systems.
Image processing --Congresses. --- Metrology --Congresses. --- Optical measurements --Congresses. --- Optical measurements --- Metrology --- Image processing --- Light & Optics --- Industrial & Management Engineering --- Materials Science --- Technology - General --- Physics --- Chemical & Materials Engineering --- Engineering & Applied Sciences --- Mechanical Engineering --- Physical Sciences & Mathematics --- Engineering. --- Image processing. --- Quality control. --- Reliability. --- Industrial safety. --- Quality Control, Reliability, Safety and Risk. --- Optics, Lasers, Photonics, Optical Devices. --- Signal, Image and Speech Processing. --- Image Processing and Computer Vision.
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Physical asset management is the management of fixed or non-current assets such as equipment and plant. Physical Asset Management presents a systematic approach to the management of these assets from concept to disposal. Historically, asset management has not been seen as a specific professional activity, but now perceptions are changing. Many organizations are introducing senior positions in asset management, and universities are introducing courses in asset management at graduate and advanced undergraduate level. The broad reach of this book means that it will be applicable to professionals and future professionals across a wide variety of industries, ranging from manufacturing and distribution, to local government. The general principles of physical asset management are discussed in a manner which makes them accessible to a wide audience, and covers all stages of the asset management process, including: initial business appraisal; identification of fixed asset needs; financial evaluation; logistic support analysis; life cycle costing; maintenance strategy; outsourcing; cost-benefit analysis; disposal; and renewal. Physical Asset Management addresses the needs of existing and potential asset managers, and provides an introduction to asset management for professionals in related disciplines, such as finance. The book provides both an introduction and a convenient reference work, covering all the main areas of physical asset management.
Capital investments. --- Industrial equipment. --- Management. --- Industrial equipment --- Capital investments --- Materials Science --- Management Styles & Communication --- Industrial & Management Engineering --- Technology - General --- Mechanical Engineering --- Management --- Chemical & Materials Engineering --- Engineering & Applied Sciences --- Business & Economics --- Assets (Accounting) --- Asset-liability management. --- Asset-liability management (Banking) --- Funds management --- Engineering. --- Industrial management. --- Finance. --- Engineering economics. --- Engineering economy. --- Quality control. --- Reliability. --- Industrial safety. --- Quality Control, Reliability, Safety and Risk. --- Engineering Economics, Organization, Logistics, Marketing. --- Innovation/Technology Management. --- Finance, general. --- Financial institutions --- Asset requirements --- Investments
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The recent transformation of the world’s economic environment necessitates the re-thinking of supply chain management (SCM) goals and decision-making techniques. Adaptive Supply Chain Management develops new viewpoints on the SCM goal paradigm, problem semantics, and decision-making support. Drawing upon years of research and practical experience, and using numerous examples, the authors unite conceptual considerations of supply chains with a constructive level of engineering and solutions to real-world problems. Adaptive Supply Chain Management provides advanced insights into dynamics, complexity, and uncertainty in supply chains from the perspectives of systems analysis, control theory, and operations research. It also considers supply chain adaptability, stability, and crisis-resistance. Particular highlights include: • an understanding of supply chain performance as a composition of profitability and global stability; • the tackling of links between partial SCM problems with regard to different management levels, different supply chain structures, and in supply chain dynamics; • a mathematical approach based on the combined application of control theory, systems analysis, operations research, and agent-oriented modelling; and • supply chains modelled as dynamic multi-structural active systems. Providing readers with a comprehensive view of advanced SCM concepts, constructive mathematical techniques and models, Adaptive Supply Chain Management is an invaluable text for practitioners and researchers who specialize in SCM and operations.
Business. --- Business intelligence. --- Business logistics. --- Business logistics --- Management --- Mechanical Engineering --- Chemical & Materials Engineering --- Engineering & Applied Sciences --- Industrial & Management Engineering --- Technology - General --- Materials Science --- Management Styles & Communication --- Business & Economics --- Information technology. --- Supply chain management --- IT (Information technology) --- Engineering. --- Production management. --- Industrial engineering. --- Production engineering. --- Quality control. --- Reliability. --- Industrial safety. --- Quality Control, Reliability, Safety and Risk. --- Industrial and Production Engineering. --- Operations Management. --- Technology --- Telematics --- Information superhighway --- Knowledge management --- Industrial management --- Logistics
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In this book, Higher Order Statistical (HOS) theory is used to develop indices for detecting and quantifying signal non-Gaussianity and nonlinearity. These indices, together with specific patterns in the mapping of process output and controller output are used to diagnose the causes of poor control loop performance. Often valve stiction is the main cause of poor control performance. A generalized definition of valve stiction based on the investigation of real plant data is proposed. A simple data-driven model of valve stiction is developed. The model is simple, yet powerful enough to properly simulate the complex valve stiction phenomena. Both open and closed loop results have been presented and validated to show the capability of the model. Conventional invasive methods such as the valve travel test can detect stiction easily. However, they are expensive, time consuming and tedious to use for examining thousands of valves in a typical process industry. A non-invasive method that can simultaneously detect and quantify control valve stiction is presented. The method requires only routine operating data from the process. Over a dozen industrial case studies have demonstrated the wide applicability and practicality of this method. In chemical industrial practice, data are often compressed for archival purposes, using various techniques. Compression degrades data quality and induces nonlinearity in the data. The issues of data quality degradation and nonlinearity induction due to compression are investigated in this book. An automatic method for detection and quantification of the compression present in the archived data is discussed. Compelling and quantitative analyses have been recommended to end the practice of process data compression.
Automatic control --- Nonlinear control theory. --- Valves --- Reliability. --- Performance. --- Steam-pipes --- Control theory --- Nonlinear theories --- System safety. --- Control and Systems Theory. --- Quality Control, Reliability, Safety and Risk. --- Safety, System --- Safety of systems --- Systems safety --- Accidents --- Industrial safety --- Systems engineering --- Prevention --- Control engineering. --- Quality control. --- Industrial safety. --- 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 --- System safety --- Dependability --- Trustworthiness --- Conduct of life --- Factory management --- Industrial engineering --- Reliability (Engineering) --- Sampling (Statistics) --- Standardization --- Quality assurance --- Quality of products --- Control engineering --- Control equipment --- Engineering instruments --- Automation --- Programmable controllers
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In building reliability into a system, engineers must address a number of practical needs that will enable them to quantify and compare reliability in engineered systems. (1) One is to be able to compare the reliability of one system to another system. (2) Another practical need is to compare alternate system designs for the purpose of engineering a particular optimal system. The practical, standardized, technical tool for characterizing reliability in systems is system signatures which was created in 1985 and since has developed into a powerful tool for qualifying reliability. It is used in all physical structures and stochastic systems where reliability is an important consideration (e.g., automobiles, bridges, electronic networks, airplanes, etc.) Since the introduction of system signatures in Francisco Samaniego’s 1985 paper, the properties of this technical concept have been examined, tested and proven in a wide variety of systems applications. Based on the practical and research success in building reliability into systems with system signatures, this is the first book treatment of the approach. It is, therefore, the purpose of this book to provide guidance on how reliability problems might be structured, modeled and solved. Over the past ten years the broad applicability of system signatures has become apparent and the tool’s utility in coherent systems and communications networks firmly established. The book compared actual system lifetimes where the tool has been and has not been used. These comparisons—which have been done over the years—demonstrate the practical, feasible and fruitful use of the tool in building reliable systems. Finally, new results and future directions for system signatures are also explored. .
Reliability (Engineering) --- Engineering systems --- Fiabilité --- Systèmes d'ingénierie --- Engineering systems. --- Maintainability (Engineering). --- Reliability (Engineering) -- Statistical methods. --- Reliability (Engineering). --- Distribution (Probability theory) --- Industrial & Management Engineering --- Technology - General --- Materials Science --- Chemical & Materials Engineering --- Mechanical Engineering --- Engineering & Applied Sciences --- Statistical methods. --- Fiabilité --- Systèmes d'ingénierie --- EPUB-LIV-FT LIVINGEN SPRINGER-B --- Engineering. --- Operations research. --- Decision making. --- System theory. --- Probabilities. --- Statistics. --- Quality control. --- Reliability. --- Industrial safety. --- Quality Control, Reliability, Safety and Risk. --- Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences. --- Probability Theory and Stochastic Processes. --- Operation Research/Decision Theory. --- Systems Theory, Control. --- Mathematical statistics --- Engineering
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The high number of fatal accidents in the mining industry makes mine safety an important issue throughout the world. The risks to life are widespread, ranging from dust explosions and the collapse of mine stopes to flooding and general mechanical errors. Mine Safety combines detailed information on safety in mining with methods and mathematics that can be used to preserve human life. By compiling various recent research results and data into one volume, Mine Safety eliminates the need to consult many diverse sources in order to obtain vital information. It enables readers to delve deeper into a particular area, providing the source of most of the material presented in references at the end of each chapter. Chapters cover a broad range of topics, including: • human factors and error in mine safety; • mining equipment safety; • safety in offshore industry; and • programmable electronic mining system safety. They are written in such a manner that the reader requires no previous knowledge to understand their contents. Examples and solutions are given at appropriate places, and there are numerous problems to test the reader’s comprehension. Mine Safety will prove useful for many individuals, including engineering and safety professionals working in the mining industry, researchers, instructors, and undergraduate and graduate students in the field of mining engineering. Springer Series in Reliability Engineering publishes high-quality books in important areas of current theoretical research and development in reliability, and in areas that bridge the gap between theory and application in areas of interest to practitioners in industry, laboratories, business, and government.
Mine safety. --- Mine safety --- Engineering & Applied Sciences --- Chemical & Materials Engineering --- Mechanical Engineering --- Industrial & Management Engineering --- Mining Engineering --- Technology - General --- Materials Science --- Mine accidents --- Mining engineering --- Mining safety --- Prevention --- Safety measures --- Engineering. --- Mineral resources. --- Mathematical models. --- Statistics. --- Manufacturing industries. --- Machines. --- Tools. --- Quality control. --- Reliability. --- Industrial safety. --- Engineering geology. --- Engineering --- Foundations. --- Hydraulics. --- Geoengineering, Foundations, Hydraulics. --- Quality Control, Reliability, Safety and Risk. --- Mineral Resources. --- Mathematical Modeling and Industrial Mathematics. --- Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences. --- Manufacturing, Machines, Tools. --- Geology. --- Industrial safety --- Mineral industries
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Complex systems have become ubiquitous and are essential to today’s society. The design of reliable complex systems and the determination of their availability are therefore very important tasks for managers and engineers. These tasks, however, can be extremely difficult to achieve, due to the fact that current analytical methods are often too complicated, time-consuming, inefficient, or even inappropriate, when dealing with real-life systems. Simulation Methods for Reliability and Availability of Complex Systems discusses the use of computer simulation-based techniques and algorithms to determine reliability and availability (R&A) levels in complex systems, and to support the improvement of these levels both at the design stage and during the system operating stage. It presents current best practice in the field, as well as: • sharing theoretical or applied models and decision support systems that make use of simulation to estimate and to improve system R&A levels; • forecasting emerging technologies and trends in the use of computer simulation for R&A; and • proposing hybrid approaches to the development of efficient methodologies designed to solve R&A-related problems in real-life systems. Dealing with practical issues, Simulation Methods for Reliability and Availability of Complex Systems is designed to support managers and system engineers in the improvement of R&A, as well as providing a thorough exploration of the techniques and algorithms available for researchers, and for advanced undergraduate and postgraduate students. Springer Series in Reliability Engineering publishes high-quality books in important areas of current theoretical research and development in reliability, and in areas that bridge the gap between theory and application in areas of interest to practitioners in industry, laboratories, business, and government.
Reliability (Engineering). --- Systems availability. --- Systems engineering -- Computer simulation. --- Systems engineering --- Reliability (Engineering) --- Systems availability --- Chemical & Materials Engineering --- Mechanical Engineering --- Engineering & Applied Sciences --- Industrial & Management Engineering --- Materials Science --- Technology - General --- Computer simulation --- Systems engineering. --- Engineering systems --- System engineering --- Reliability of equipment --- Systems reliability --- Design and construction --- Computer science. --- Computer simulation. --- Computer-aided engineering. --- Quality control. --- Reliability. --- Industrial safety. --- Computer Science. --- Simulation and Modeling. --- Quality Control, Reliability, Safety and Risk. --- Computer-Aided Engineering (CAD, CAE) and Design. --- Engineering --- Industrial engineering --- System analysis --- Maintainability (Engineering) --- Probabilities --- Plant performance --- Safety factor in engineering --- Structural failures
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This open access book contains the research report of the Collaborative Research Center “Micro Cold Forming” (SFB 747) of the University of Bremen, Germany. The topical research focus lies on new methods and processes for a mastered mass production of micro parts which are smaller than 1mm (by forming in batch size higher than one million). The target audience primarily comprises research experts and practitioners in production engineering, but the book may also be of interest to graduate students alike.
Manufactures. --- System safety. --- Manufacturing, Machines, Tools, Processes. --- Quality Control, Reliability, Safety and Risk. --- Safety, System --- Safety of systems --- Systems safety --- Accidents --- Industrial safety --- Systems engineering --- Manufactured goods --- Manufactured products --- Products --- Products, Manufactured --- Commercial products --- Manufacturing industries --- Prevention --- Quality control. --- Reliability. --- Industrial safety. --- 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 --- System safety --- Dependability --- Trustworthiness --- Conduct of life --- Factory management --- Industrial engineering --- Reliability (Engineering) --- Sampling (Statistics) --- Standardization --- Quality assurance --- Quality of products --- Engineering --- Manufactures --- Quality control --- Reliability
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