Classes of socio-technical hazards allow a characterization of the risk in technology innovation and clarify the mechanisms underpinning emergent technological risk. Emerging Technological Risk provides an interdisciplinary account of risk in socio-technical systems including hazards which highlight: * How technological risk crosses organizational boundaries, * How technological trajectories and evolution develop from resolving tensions emerging between social aspects of organisations and technologies and * How social behaviour shapes, and is shaped by, technology. Addressing an audience from a range of academic and professional backgrounds, Emerging Technological Risk is a key source for those who wish to benefit from a detail and methodical exposure to multiple perspectives on technological risk. By providing a synthesis of recent work on risk that captures the complex mechanisms that characterize the emergence of risk in technology innovation, Emerging Technological Risk bridges contributions from many disciplines in order to sustain a fruitful debate. Emerging Technological Risk is one of a series of books developed by the Dependability Interdisciplinary Research Collaboration funded by the UK Engineering and Physical Sciences Research Council.

Automated Measurement and Monitoring of Bioprocesses: Key Elements of the M3C Strategy, by Bernhard Sonnleitner Automatic Control of Bioprocesses, by Marc Stanke, Bernd Hitzmann An Advanced Monitoring Platform for Rational Design of Recombinant Processes, by G. Striedner, K. Bayer Modelling Approaches for Bio-Manufacturing Operations, by Sunil Chhatre Extreme Scale-Down Approaches for Rapid Chromatography Column Design and Scale-Up During Bioprocess Development, by Sunil Chhatre Applying Mechanistic Models in Bioprocess Development, by Rita Lencastre Fernandes, Vijaya Krishna Bodla, Magnus Carlquist, Anna-Lena Heins, Anna Eliasson Lantz, Gurkan Sin and Krist V. Gernaey Multivariate Data Analysis for Advancing the Interpretation of Bioprocess Measurement and Monitoring Data, by Jarka Glassey Design of Pathway-Level Bioprocess Monitoring and Control Strategies Supported by Metabolic Networks, by Ines A. Isidro, Ana R. Ferreira, Joao J. Clemente, Antonio E. Cunha, Joao M. L. Dias, Rui Oliveira Knowledge Management and Process Monitoring of Pharmaceutical Processes in the Quality by Design Paradigm, by Anurag S Rathore, Anshuman Bansal, Jaspinder Hans The Choice of Suitable Online Analytical Techniques and Data Processing for Monitoring of Bioprocesses, by Ian Marison, Siobhan Hennessy, Roisin Foley, Moira Schuler, Senthilkumar Sivaprakasam, Brian Freeland

This book focuses on technical safety, means of expanding the current procedures, and making the related risks more predictable. It identifies the 'hidden commonalities' of the various technical safety concepts and formulates a corresponding procedure, applicable across disciplines, in a single guideline. The future is now: we constantly face change through science, research and technologies, change through industrial development, and new innovations and complexities. Our society fundamentally depends on technical systems, infrastructures and interconnected smart components, in every corner of the human environment. And these systems bring with them the need for technical safety. The risks of extending what is technically feasible have to be identified and analyzed at an early stage so as to avoid and/or mitigate potential harm by means of appropriate countermeasures. Every technical field interprets technical safety in its own way. However, if a safety concept is to be comprehensively applied, it must be compatible with all technical fields - a challenge this book successfully addresses.

1 Reliability: Past, Present, Future.- 2 Reliability Analysis as a Tool for Expressing and Communicating Uncertainty.- 3 Modeling a Process of Non-Ideal Repair.- 4 Some Models and Mathematical Results for Reliability of Systems of Components.- 5 Algorithms of Stochastic Activity and Problems of Reliability.- 6 Some Shifted Stochastic Orders.- 7 Characterization of Distributions in Reliability.- 8 Asymptotic Analysis of Reliability for Switching Systems in Light and Heavy Traffic Conditions.- 9 Nonlinearly Perturbed Markov Chains and Large Deviations for Lifetime Functionals.- 10 Evolutionary Systems in an Asymptotic Split Phase Space.- 11 An Asymptotic Approach to Multistate Systems Reliability Evaluation.- 12 Computer Intensive Methods Based on Resampling in Analysis of Reliability and Survival Data.- 13 Statistical Analysis of Damage Processes.- 14 Data Analysis Based on Warranty Database.- 15 Failure Models Indexed by Time and Usage.- 16 A New Multiple Proof Loads Approach For Estimating Correlations.- 17 Conditional and Partial Correlation For Graphical Uncertainty Models.- 18 Semiparametric Methods of Time Scale Selection.- 19 Censored and Truncated Lifetime Data.- 20 Tests for a Family of Survival Models Based on Extremes.- 21 Software Reliability Models - Past, Present and Future.- 22 Dynamic Analysis of Failures in Repairable Systems and Software.- 23 Precedence Test and Maximal Precedence Test.- 24 Hierarchical Bayesian Inference in Related Reliability Experiments.- 25 Tests for Equality of Intensities of Failures of a Repairable System Under Two Competing Risks.- 26 Semiparametric Estimation in Accelerated Life Testing.- 27 A Theoretical Framework for Accelerated Testing.- 28 Unbiased Estimation in Reliability and Similar Problems.- 29 Prediction Under Association.- 30 Uniform Limit Laws for Kernel Density Estimators on Possibly Unbounded Intervals.- 31 A Weak Convergence Result Relevant in Recurrent and Renewal Models.

This volume presents selected papers from the 7th International Congress on Computational Mechanics and Simulation held at IIT Mandi, India. The papers discuss the development of mathematical models representing physical phenomena and applying modern computing methods and simulations to analyse them. The studies cover recent advances in the fields of nano mechanics and biomechanics, simulations of multiscale and multiphysics problems, developments in solid mechanics and finite element method, advancements in computational fluid dynamics and transport phenomena, and applications of computational mechanics and techniques in emerging areas. The volume will be of interest to researchers and academics from civil engineering, mechanical engineering, aerospace engineering, materials engineering/science, physics, mathematics and other disciplines.

This book surveys reliability, availability, maintainability and safety (RAMS) analyses of various engineering systems. It highlights their role throughout the lifecycle of engineering systems and explains how RAMS activities contribute to their efficient and economic design and operation. The book discusses a variety of examples and applications of RAMS analysis, including: * software products; * electrical and electronic engineering systems; * mechanical engineering systems; * nuclear power plants; * chemical and process plants and * railway systems. The wide-ranging nature of the applications discussed highlights the multidisciplinary nature of complex engineering systems. The book provides a quick reference to the latest advances and terminology in various engineering fields, assisting students and researchers in the areas of reliability, availability, maintainability, and safety engineering.

This book presents a systematic and comprehensive exposition of the theory of measurement accuracy and provides solutions that fill significant and long-standing gaps in the classical theory. It eliminates the shortcomings of the classical theory by including methods for estimating accuracy of single measurements, the most common type of measurement. The book also develops methods of reduction and enumeration for indirect measurements, which do not require Taylor series and produce a precise solution to this problem. It produces grounded methods and recommendations for summation of errors. The monograph also analyzes and critiques two foundation metrological documents, the International Vocabulary of Metrology (VIM) and the Guide to the Expression of Uncertainty in Measurement (GUM), and discusses directions for their revision. This new edition adds a step-by-step guide on how to evaluate measurement accuracy and recommendations on how to calculate systematic error of multiple measurements. There is also an extended section on the method of reduction, which provides an alternative to the least-square method and the method of enumeration. Many sections are also rewritten to improve the structure and usability of the material. The 3rd edition reflects the latest developments in metrology and offers new results, and it is designed to be accessible to readers at various levels and positions, including scientists, engineers, and undergraduate and graduate students. By presenting material from a practical perspective and offering solutions and recommendations for problems that arise in conducting real-life measurements, author Semyon Rabinovich offers an invaluable resource for scientists in any field.

This book presents the proceedings of the 8th International Conference on Engineering, Project, and Product Management (EPPM 2017), highlighting the importance of engineering, project and product management in a region of the world that is in need of transformation and rebuilding. The aim of the conference was to bring together the greatest minds in engineering and management and offer them a platform to share their innovative, and potentially transformational, findings. The proceedings are comprehensive, multidisciplinary, and advanced in their approach with an appeal not only for academicians and university students but also for professionals in various engineering fields, especially construction, manufacturing and production.

This book reports on the state of the art in the field of multiphysics systems. It consists of accurately reviewed contributions to the MMSSD'2014 conference, which was held from December 17 to 19, 2004 in Hammamet, Tunisia. The different chapters, covering new theories, methods and a number of case studies, provide readers with an up-to-date picture of multiphysics modeling and simulation. They highlight the role played by high-performance computing and newly available software in promoting the study of multiphysics coupling effects, and show how these technologies can be practically implemented to bring about significant improvements in the field of design, control and monitoring of machines. In addition to providing a detailed description of the methods and their applications, the book also identifies new research issues, challenges and opportunities, thus providing researchers and practitioners with both technical information to support their daily work and a new source of inspiration for their future research.

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.

This comprehensive text will be of interest to:

• graduate students as an introduction to software reliability engineering and a textbook for graduate courses;
• software and reliability engineers as a comprehensive and up-to-date survey of the field; and,
• researchers and lecturers in universities and research institutions as a one-volume reference.

This book is a report to the Executive Board of the Rijnmond Public Authority. The report presents the results of a pilot study of the risks to the employees in, and the population around six industrial installations. The installations were selected to illustrate various materials and technologies present in this area e.g. toxic, flammable, cryogenic and pressure storage. The study was performed in close cooperation between authorities, industry and consultants. The report consists of 5 parts: Part I is the report of the Steering Committee, which managed the whole project. It contains the background, the aims of the study, conclusions, general comments and recommendations. Appendices I and 2 give information about the parties involved in the study and the screening process applied to the collected safety data respectively. Part 2, the main report by Cremer and Warner Ltd., presents the way the risk analysis of the six industrial installations was performed. All the steps necessary to carry out such an analysis are presented and discussed. The final results are given in tables showing the average number of fatalities per year both for employees and the population. Appendices I to VII contain the calculation models used (dischar ge rates, dispersion, combustion, etc.). Appendices VII to X give a historical review of incidents, fai lure rate data and meteorological data respectively. Appendix XII gives the final results of the consequence analyses and appendix XIII presents the fault trees and derivation of failure rates."

This book presents a unique collection of contributions from some of the foremost scholars in the field of risk and reliability analysis. Combining the most advanced analysis techniques with practical applications, it is one of the most comprehensive and up-to-date books available on risk-based engineering. All the fundamental concepts needed to conduct risk and reliability assessments are covered in detail, providing readers with a sound understanding of the field and making the book a powerful tool for students and researchers alike. This book was prepared in honor of Professor Armen Der Kiureghian, one of the fathers of modern risk and reliability analysis.

In this book on Fundamentals of Mass Determination, the definition and dissemination of units of mass is explained, starting with an introduction to metrology and mass determination. Establishing a mass scale requires corresponding mass standards and mass comparators. The metrological requirements for weighing instruments, weight pieces, and measuring conditions are explained and discussed based on international directives and applicable legal regulations. International directives and institutions are striving towards the worldwide uniform implementation of these requirements. Processes used to determine density and volume are described to the extent that they apply to mass determination. Calculating measurement uncertainty entails taking into consideration the effect of influence variables on mass determination. An overview of this topic is provided to make it easier to determine and specify measurement uncertainty in practice, while additional information in the form of tables, illustrations, and literature references allow the reader to study mass metrology further.

This book addresses a modern topic in reliability: multi-state and continuous-state system reliability, which has been intensively developed in recent years. It offers an up-to-date overview of the latest developments in reliability theory for multi-state systems, engineering applications to a variety of technical problems, and case studies that will be of interest to reliability engineers and industrial managers. It also covers corresponding theoretical issues, as well as case studies illustrating the applications of the corresponding theoretical advances. The book is divided into two parts: Modern Mathematical Methods for Multi-state System Reliability Analysis (Part 1), and Applications and Case Studies (Part 2), which examines real-world multi-state systems. It will greatly benefit scientists and researchers working in reliability, as well as practitioners and managers with an interest in reliability and performability analysis. It can also be used as a textbook or as a supporting text for postgraduate courses in Industrial Engineering, Electrical Engineering, Mechanical Engineering, Applied Mathematics, and Operations Research.

Offshore Risk Assessment is the first book to deal with quantified risk assessment (QRA) as applied specifically to offshore installations and operations. Risk assessment techniques have been used for some years in the offshore oil and gas industry, and their use is set to expand increasingly as the industry moves into new areas and faces new challenges in older regions. The book starts with a thorough discussion of risk analysis methodology. Subsequent chapters are devoted to analytical approaches to escalation, escape, evacuation and rescue analysis of safety and emergency systems. Separate chapters analyze the main hazards of offshore structures: Fire, explosion, collision and falling objects. Risk mitigation and control are then discussed, followed by an outline of an alternative approach to risk modelling that focuses especially on the risk of short-duration activities. Not only does the book describe the state of the art of QRA, it also identifies weaknesses and areas that need development. Readership: Besides being a comprehensive reference for academics and students of marine/offshore risk assessment and management, the book should also be owned by professionals in the industry, contractors, suppliers, consultants and regulatory authorities.

Microprocessors increasingly control and monitor our most critical systems, including automobiles, airliners, medical systems, transportation grids, and defense systems. The relentless march of semiconductor process technology has given engineers exponentially increasing transistor budgets at constant recurring cost. This has encouraged increased functional integration onto a single die, as well as increased architectural sophistication of the functional units themselves. Additionally, design cycle times are decreasing, thus putting increased schedule pressure on engineers. Not surprisingly, this environment has led to a number of uncaught design flaws. Traditional simulation-based design verification has not kept up with the scale or pace of modern microprocessor system design. Formal verification methods offer the promise of improved bug-finding capability, as well as the ability to establish functional correctness of a detailed design relative to a high-level specification. However, widespread use of formal methods has had to await breakthroughs in automated reasoning, integration with engineering design languages and processes, scalability, and usability.

This book presents several breakthrough design and verification techniques that allow these powerful formal methods to be employed in the real world of high-assurance microprocessor system design.

This unique book explains how to fashion useful regression models from commonly available data to erect models essential for evidence-based road safety management and research. Composed from techniques and best practices presented over many years of lectures and workshops, The Art of Regression Modeling in Road Safety illustrates that fruitful modeling cannot be done without substantive knowledge about the modeled phenomenon. Class-tested in courses and workshops across North America, the book is ideal for professionals, researchers, university professors, and graduate students with an interest in, or responsibilities related to, road safety. This book also: * Presents for the first time a powerful analytical tool for road safety researchers and practitioners * Includes problems and solutions in each chapter as well as data and spreadsheets for running models and PowerPoint presentation slides * Features pedagogy well-suited for graduate courses and workshops including problems, solutions, and PowerPoint presentations * Equips readers to perform all analyses on a spreadsheet without requiring mastery of complex and costly software * Emphasizes understanding without esoteric mathematics * Makes assumptions visible and explains their role and consequences

This book presents select peer-reviewed papers presented at the International Conference on Numerical Optimization in Engineering and Sciences (NOIEAS) 2019. The book covers a wide variety of numerical optimization techniques across all major engineering disciplines like mechanical, manufacturing, civil, electrical, chemical, computer, and electronics engineering. The major focus is on innovative ideas, current methods and latest results involving advanced optimization techniques. The contents provide a good balance between numerical models and analytical results obtained for different engineering problems and challenges. This book will be useful for students, researchers, and professionals interested in engineering optimization techniques.

This volume is intended to stimulate a change in the practice of decision support, advocating an interdisciplinary approach centred on both social and natural sciences, both theory and practice. It addresses the issue of analysis and management of uncertainty and risk in decision support corresponding to the aims of Integrated Assessment. A pluralistic method is necessary to account for legitimate plural interpretations of uncertainty and multiple risk perceptions. A wide range of methods and tools is presented to contribute to adequate and effective pluralistic uncertainty management and risk analysis in decision support endeavours. Special attention is given to the development of one such approach, the Pluralistic fRamework for Integrated uncertainty Management and risk Analysis (PRIMA), of which the practical value is explored in the context of the Environmental Outlooks produced by the Dutch Institute for Public Health and Environment (RIVM). Audience: This book will be of interest to researchers and practitioners whose work involves decision support, uncertainty management, risk analysis, environmental planning, and Integrated Assessment.

The ELFNET Book on Failure Mechanisms, Testing Methods, and Quality Issues of Lead-Free Solder Interconnects is the work of the European network ELFNET which was founded by the European Commission in the 6th Framework Programme. It brings together contributions from the leading European experts in lead-free soldering. The limited validity of testing methods originating from tin-lead solder was a major point of concern in ELFNET members' discussions. As a result, the network's reliability group decided to bring together the material properties of lead-free solders, as well as the basics of material science, and to discuss their influence on the procedures for accelerated testing. This has led to a matrix of failure mechanisms and their activation and, as a result, to a comprehensive coverage of the scientific background and its applications in reliability testing of lead-free solder joints. The ELFNET Book on Failure Mechanisms, Testing Methods, and Quality Issues of Lead-Free Solder Interconnects is written for scientists, engineers and researchers involved with lead-free electronics.

This volume investigates the interdisciplinary and cross-cutting challenges in the risk analysis of natural hazards. It brings together leading minds in engineering, science, philosophy, law, and the social sciences. Parts I and II of this volume explore risk assessment, first by providing an overview of the interdisciplinary interactions involved in the assessment of natural hazards, and then by exploring the particular impacts of climate change on natural hazard assessment. Part III discusses the theoretical frameworks for the evaluation of natural hazards. Finally, Parts IV and V address the risk management of natural hazards, providing first an overview of the interdisciplinary interactions underlying natural hazard management, and then exploring decision frameworks that can help decision makers integrate and respond to the complex relationships among natural events, the built environment, and human behavior.

The motivation for this monograph can be traced to a seminar on Simple Games given by Professor S.H. Tijs of the Catholic University at Nijmegen way back in 1981 or 1982 at the Delhi campus of the Indian Statistical Institute. As an ap plied statistician and a consultant in quality control, I was naturally interested in Reliability Theory. I was aquainted with topics in reliability like coherent systems, importance of components etc., mainly through Barlow and Proschan's book. At the seminar given by Professor Tijs, I noticed the striking similarity between the concepts in reliability and simple games and this kindled my interest in simple games. When I started going deep into the literature of simple games, I noticed that a number of concepts as well as results which were well known in game theory were rediscovered much later by researchers in reliability. Though the conceptual equivalence of coherent structures and simple games has been noticed quite early, it is not that much well known. In fact, the theoretical developments have taken place practically independent of each other, with considerable duplication of research effort. The basic objective of this monograph is to unify some of the concepts and developments in reliability and simple games so as to avoid further duplication."

This volumeaddressestheissueofuncertaintyincivilengineeringfromdesign toconstruction. Failures do occur in practice. Attributing them to a residual risk or a faulty execution of the projectdoesnotproperlycover the range of causes. A closer scrutiny of the design, the engineering model, the data, the soil-structure-interactionand the model assumptions is required. Usually, the uncertaintiesininitialandboundaryconditionsaswellasmaterialparameters are abundant. Current engineering practice often leaves these issues aside, despite the factthatnewscienti?c tools have been developed in the past decades that allow a rational description of uncertainties of all kinds, from model uncertainty to data uncertainty. It is the aim of this volume to have a critical look atcurrent engineering riskconcepts in order to raise awareness of uncertainty in numericalcom- tations, shortcomings of a strictly probabilistic safety concept, geotechnical models of failure mechanisms and their implications forconstruction mana- ment, execution, and the juristic questionas to who has to takeresponsibility. In addition, a number ofthe new procedures for modelling uncertaintyare- plained. Our central claim is that doubts and uncertainties must be openly - dressed in the design process. This contrasts certain tendencies in the en- neering community that, though incorporating uncertainties by one or the other way in the modelling process, claim to being able tocontrol the

The resilience of computing systems includes their dependability as well as their fault tolerance and security. It defines the ability of a computing system to perform properly in the presence of various kinds of disturbances and to recover from any service degradation. These properties are immensely important in a world where many aspects of our daily life depend on the correct, reliable and secure operation of often large-scale distributed computing systems. Wolter and her co-editors grouped the 20 chapters from leading researchers into seven parts: an introduction and motivating examples, modeling techniques, model-driven prediction, measurement and metrics, testing techniques, case studies, and conclusions. The core is formed by 12 technical papers, which are framed by motivating real-world examples and case studies, thus illustrating the necessity and the application of the presented methods. While the technical chapters are independent of each other and can be read in any order, the reader will benefit more from the case studies if he or she reads them together with the related techniques. The papers combine topics like modeling, benchmarking, testing, performance evaluation, and dependability, and aim at academic and industrial researchers in these areas as well as graduate students and lecturers in related fields. In this volume, they will find a comprehensive overview of the state of the art in a field of continuously growing practical importance.

Exploring the concept of quality management from a new point of view, this book presents a holistic model of how consumers judge the quality of products. It links consumer perceptions of quality to the design and delivery of the final product, and presents models and methods for improving the quality of these products and services. It offers readers an improved understanding of how and why the design process must consider how the consumer will perceive a product or service. In order to facilitate the presentation and understanding of these concepts, illustrations and case examples are also provided throughout the book. This book provides an invaluable resource for managers, designers, manufacturers, professional practitioners and academics interested in quality management. It also offers a useful supplementary text for marketing and quality management courses.