This volume includes chapters presenting applications of different metaheuristics in reliability engineering, including ant colony optimization, great deluge algorithm, cross-entropy method and particle swarm optimization. It also presents chapters devoted to cellular automata and support vector machines, and applications of artificial neural networks, a powerful adaptive technique that can be used for learning, prediction and optimization. Several chapters describe aspects of imprecise reliability and applications of fuzzy and vague set theory.

The International Section on Machine and System Safety was founded in 1975 to deal with questions on occupational risks in this ?eld at the inter- tional level. It is a member of the Special Commission on Prevention of the International Social Security Association (ISSA). The Special Commission is a body within ISSA that focuses on work-related risks. It has 11 inter- tional Sections as members. ISSA was founded in 1927 with its headquarters in Geneva. It is working worldwide in over 150 countries with nearly 370 member institutions from all ?elds of social security. TheSection on Machine and System Safety, when it was founded, had its focus on machine safety, particularly on the ma- facturing of safe machinery, on assisting developing countries to be able to buy safe used machinery, and on delivering clear operating instructions. Our members and partners are: * institutions for safety and health at work; * insurance companies dealing with work-related risks; * research institutions; and * various enterprises, e.g. manufacturers, importers and users of machines and systems/installations. We thus bring together the experiences of our members and partners. The role of the operators soon grew in importance, and their capability for ha- ling machinery became an important factor for the safety and success of enterprises. The growing importance and complexity of handling different man-machine-environment situations created new challenges and led to - larging the Section's tasks to machine and system safety.

Bayesian Reliability presents modern methods and techniques for analyzing reliability data from a Bayesian perspective. The adoption and application of Bayesian methods in virtually all branches of science and engineering have significantly increased over the past few decades. This increase is largely due to advances in simulation-based computational tools for implementing Bayesian methods.

The authors extensively use such tools throughout this book, focusing on assessing the reliability of components and systems with particular attention to hierarchical models and models incorporating explanatory variables. Such models include failure time regression models, accelerated testing models, and degradation models. The authors pay special attention to Bayesian goodness-of-fit testing, model validation, reliability test design, and assurance test planning. Throughout the book, the authors use Markov chain Monte Carlo (MCMC) algorithms for implementing Bayesian analyses -- algorithms that make the Bayesian approach to reliability computationally feasible and conceptually straightforward.

This book is primarily a reference collection of modern Bayesian methods in reliability for use by reliability practitioners. There are more than 70 illustrative examples, most of which utilize real-world data. This book can also be used as a textbook for a course in reliability and contains more than 160 exercises.

Noteworthy highlights of the book include Bayesian approaches for the following:

• Goodness-of-fit and model selection methods
• Hierarchical models for reliability estimation
• Fault tree analysis methodology that supports data acquisition at all levels in the tree
• Bayesian networks in reliability analysis
• Analysis of failure count and failure time data collected from repairable systems, and the assessment of various related performance criteria
• Analysis of nondestructive and destructive degradation data
• Optimal design of reliability experiments
• Hierarchical reliability assurance testing

Solder Joint Reliability Prediction for Multiple Environments will provide industry engineers, graduate students and academic researchers, and reliability experts with insights and useful tools for evaluating solder joint reliability of ceramic area array electronic packages under multiple environments. The material presented here is not limited to ceramic area array packages only, it can also be used as a methodology for relating numerical simulations and experimental data into an easy-to-use equation that captures the essential information needed to predict solder joint reliability. Such a methodology is often needed to relate complex information in a simple manner to managers and non-experts in solder joint who work with computer server applications as well as for harsh environments such as those found in the defense, space, and automotive industries.

This superb study offers insights into the methods and techniques that enable the implementation of a Collaborative Engineering concept on product design. It does so by integrating capabilities for intelligent information support and group decision-making, utilizing a common enterprise network model and knowledge interface through shared ontologies. The book is also a collection of the latest applied methods and technology from selected experts in this area.

Verification is too often approached in an ad hoc fashion. Visually inspecting simulation results is no longer feasible and the directed test-case methodology is reaching its limit. Moore's Law demands a productivity revolution in functional verification methodology.

Writing Testbenches Using SystemVerilog offers a clear blueprint of a verification process that aims for first-time success using the SystemVerilog language. From simulators to source management tools, from specification to functional coverage, from I's and O's to high-level abstractions, from interfaces to bus-functional models, from transactions to self-checking testbenches, from directed testcases to constrained random generators, from behavioral models to regression suites, this book covers it all.

Writing Testbenches Using SystemVerilog presents many of the functional verification features that were added to the Verilog language as part of SystemVerilog. Interfaces, virtual modports, classes, program blocks, clocking blocks and others SystemVerilog features are introduced within a coherent verification methodology and usage model.

Writing Testbenches Using SystemVerilog introduces the reader to all elements of a modern, scalable verification methodology. It is an introduction and prelude to the verification methodology detailed in the Verification Methodology Manual for SystemVerilog. It is a SystemVerilog version of the author's bestselling book Writing Testbenches: Functional Verification of HDL Models.

Even though the effect of lead contamination on human health has been known for decades, very little attention has been paid to lead-based solders used in electronics until recently. This comprehensive book examines all the important issues associated with lead-free electronic solder. It collects the work of researchers recognized for their significant scientific contributions in the area.

Experts from academia and government who are actively engaged in research in the area of risk communication present a compendium of cases that give information and allow the development of strategies to improve the communication of scientific information to the public. The cases span Western, Central and Eastern Europe, covering such areas as nuclear waste, heavy metal contamination, landfill siting, risk perception, global warming, international health for all, and more. The conclusions and recommendations presented here are being used to develop future activities to further explore this area of risk communication as an international study. Audience: Scientists, risk communicators, psychologists, toxicologists, health professionals, and anyone who has an interest in public communication on scientific uncertainty.

MOX fuel, a mixture of weapon-grade plutonium and natural or depleted uranium, may be used to deplete a portion of the world's surplus of weapon-grade plutonium. A number of reactors currently operate in Europe with one-third MOX cores, and others are scheduled to begin using MOX fuels in both Europe and Japan in the near future. While Russia has laboratory-scale MOX fabrication facilities, the technology remains under study. No fuels containing plutonium are used in the U.S. The 25 presentations in this book give an impressive overview of MOX technology. The following issues are covered: an up to date report on the disposition of ex-weapons Pu in Russia; an analysis of safety features of MOX fuel configurations of different reactor concepts and their operating and control measures; an exchange of information on the status of MOX utilisation in existing power plants, the fabrication technology of various MOX fuels and their behaviour in practice; a discussion of the typical national approaches by Russia and the western countries to the utilisation of Pu as MOX fuel; an introduction to new ideas, enhancing the disposition option of MOX fuel exploitation and destruction in existing and future advanced reactor systems; and the identification of common research areas where defined tasks can be initiated in cooperative partnership.

This book reviews problems associated with rare events arising in a wide range of circumstances, treating such topics as how to evaluate the probability an insurance company will be bankrupted, the lifetime of a redundant system, and the waiting time in a queue. Well-grounded, unique mathematical evaluation methods of basic probability characteristics concerned with rare events are presented, which can be employed in real applications, as the volume also contains relevant numerical and Monte Carlo methods. The various examples, tables, figures and algorithms will also be appreciated. Audience: This work will be useful to graduate students, researchers and specialists interested in applied probability, simulation and operations research.

Topics in Toxicology Toxicology is a science that stands at the intersection of several interests and disciplines. These intersecting forces are by no means all scientific since some are legal and some are commercial. All have valid things to say about the conduct and interpretation of toxicity experiments. The practising toxicologist must bear all these sometimes conflicting forces in mind as he carries out his duties. This is especially true, of course, of the toxicologist in industry. Toxicology is also a field in which contract research particularly flourishes and a number of major contract research companies have established over the years a reputation for contributing usefully to the practice of this skill. These contract research organisations are particu larly favoured to develop an appreciation of the problems of the in dustrial toxicologist, since it is very common for such a company to service the toxicological needs of companies in several sectors of industry producing new chemical compounds, and the contract research company, therefore, is aware of a wider diversiy of problems than probably affects a single toxicologist in one industry."

Computer software reliability has never been so important. Computers are used in areas as diverse as air traffic control, nuclear reactors, 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. This book is an introduction to software reliability engineering and a survey of the state-of-the-art techniques, methodologies and tools used to assess the reliability of software and combined software-hardware systems. Current research results are reported and future directions are signposted. This text will interest: graduate students as a course textbook introducing reliability engineering software; reliability engineers as a broad, up-to-date survey of the field; and researchers and lecturers in universities and research institutions as a one-volume reference.

The only recent book to cover "Stage 3" warranty management, linking strategic and operational aspects for manufactured products.

Shows how to make warranty management an effective tool for enhancing customer satisfaction.

Uses minimal mathematics and presents accounting and legal aspects of warranty management in an easily understandable style.

Written by two of the world 's leading experts in warranty management.

Failure Rate Modeling for Reliability and Risk focuses on reliability theory, and to the failure rate (hazard rate, force of mortality) modeling and its generalizations to systems operating in a random environment and to repairable systems. The failure rate is one of the crucial probabilistic characteristics for a number of disciplines; including reliability, survival analysis, risk analysis and demography. The book presents a systematic study of the failure rate and related indices, and covers a number of important applications where the failure rate plays the major role. Applications in engineering systems are studied, together with some actuarial, biological and demographic examples. The book provides a survey of this broad and interdisciplinary subject which will be invaluable to researchers and advanced students in reliability engineering and applied statistics, as well as to demographers, econometricians, actuaries and many other mathematically oriented researchers.

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 Modern Reliability Engineering is a methodological approach to the goal-based safety design procedure that will soon be an international requirement.

Satisfying Safety Goals by Modern Reliability Engineering primarily focuses on the quantitative aspects of international standards. The methodologies presented are illustrated through the use of case studies. The book also:

• presents accident statistics and safety goals;
• describes abnormal event enumeration for the target system;
• develops risk reduction mechanisms;
• discusses probabilistic risk assessment (PRA) models typified by event trees coupled with fault trees;
• presents conventional materials for basic event quantification;
• describes how to calculate safety criteria from the PRA models, given basic event data;
• evaluates uncertainties of point estimates of safety criteria; and
• considers how external event quantification can expand the scope of PRA.

Satisfying Safety Goals by Modern Reliability Engineering will be a good reference for senior undergraduates, postgraduates and researchers in the fields of reliability engineering and safety engineering and risk assessment. It will also be of interest to reliability engineers, practitioners in industry and regulatory authorities.

Billions of dollars are being spent annually world-wide to develop reliable and good quality products and services. Global competition and other factors are forcing manufacturers and others to produce highly reliable and good quality products and services. This means that reliability and quality principles are now being applied across many diverse sectors of economy and each of these sectors (robotics, health care, power generation, the Internet, textile, food and software) has tailored reliability and quality principles, methods, and procedures to satisfy its specific need.

Reliability and quality professionals working in these areas need to know about each other's work activities because this may help them - directly or indirectly - to perform their tasks more effectively. Applied Reliability and Quality: Fundamentals, Methods and Procedures meets the need for a single volume that considers applied areas of both reliability and quality. Before now, there has not been one book that covers both applied reliability and quality; so to gain knowledge of each other's specialties, these people had to study various books, articles, or reports on each area.

As the first book of its kind, Applied Reliability and Quality: Fundamentals, Methods and Procedures will be useful to design engineers, manufacturing engineers, system engineers, engineering and manufacturing managers, reliability specialists, quality specialists, graduate and senior undergraduate students of engineering, researchers and instructors of reliability and quality, and professionals in areas such as health care, software, power generation, robotics, textile, food, and the Internet.

Safety is a paradoxical system property. It remains immaterial, intangible and invisible until a failure, an accident or a catastrophy occurs and, too late, reveals its absence. And yet, a system cannot be relied upon unless its safety can be explained, demonstrated and certified. The practical and difficult questions which motivate this study concern the evidence and the arguments needed to justify the safety of a computer based system, or more generally its dependability. Dependability is a broad concept integrating properties such as safety, reliability, availability, maintainability and other related characteristics of the behaviour of a system in operation. How can we give the users the assurance that the system enjoys the required dependability? How should evidence be presented to certification bodies or regulatory authorities? What best practices should be applied? How should we decide whether there is enough evidence to justify the release of the system? To help answer these daunting questions, a method and a framework are proposed for the justification of the dependability of a computer-based system. The approach specifically aims at dealing with the difficulties raised by the validation of software. Hence, it should be of wide applicability despite being mainly based on the experience of assessing Nuclear Power Plant instrumentation and control systems important to safety. To be viable, a method must rest on a sound theoretical background.

"Changeable and Reconfigurable Manufacturing Systems" discusses key strategies for success in the changing manufacturing environment. Changes can often be anticipated but some go beyond the design range, requiring innovative change enablers and adaptation mechanisms. The book presents the new concept of Changeability as an umbrella framework that encompasses paradigms such as agility, adaptability, flexibility and reconfigurability. It provides the definitions and classification of key terms in this new field, and emphasizes the required physical/hard and logical/soft change enablers. The book presents cutting edge technologies and the latest research, as well as future directions to help manufacturers stay competitive. It contains original contributions and results from senior international experts, together with industrial applications. The book serves as a comprehensive reference for professional engineers, managers, and academics in manufacturing, industrial and mechanical engineering.

Well written textbook on industrial applications of Statistical Measurement Theory. It deals with the principal issues of measurement theory, is concise and intelligibly written, and to a wide extent self-contained. Difficult theoretical issues are separated from the mainstream presentation. Each topic starts with an informal introduction followed by an example, the rigorous problem formulation, solution method, and a detailed numerical solution. Chapter are concluded with a set of exercises of increasing difficulty, mostly with solutions. Knowledge of calculus and fundamental probability and statistics is assumed.

This book covers several bases at once. It is useful as a textbook for a second course in experimental optimization techniques for industrial production processes. In addition, it is a superb reference volume for use by professors and graduate students in Industrial Engineering and Statistics departments. It will also be of huge interest to applied statisticians, process engineers, and quality engineers working in the electronics and biotech manufacturing industries. In all, it provides an in-depth presentation of the statistical issues that arise in optimization problems, including confidence regions on the optimal settings of a process, stopping rules in experimental optimization, and more.

Based on the authors research, Reliability and Optimal Maintenance presents the latest theories and methods of reliability and maintenance with an emphasis on multi-component systems, while also considering current hot topics in reliability and maintenance including: imperfect repair, economic dependence and opportunistic maintenance, and correlated failure and repair. Software reliability and maintenance cost, and warranty cost considerations are also considered.

Each year billions of dollars are being spent to develop, manufacture, and operate transportation systems such as aircraft, ships, trains, and motor vehicles throughout the world. During their operation thousands of lives are lost annually due to various types accidents. Needless to say, approximately 70 to 90 percent of transportation crashes are the result of human error to a certain degree. Moreover, it may be added that human errors contribute significantly to most transportation crashes across all modes of transportation.

Human Reliability and Error in Transportation Systems is the first book to cover the subject of human reliability across all types of transportation system. The material will be accessible to readers with no previous knowledge in the field, and is supported with a full explanation of the necessary mathematical concepts together with numerous examples and test problems.

Many real systems are composed of multi-state components with different performance levels and several failure modes. These affect the whole system's performance.

Most books on reliability theory cover binary models that allow a system only to function perfectly or fail completely.

"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 binary and multi-state system reliability analysis.

Features:
- an introduction to basic tools of multi-state system reliability and optimization;
- applications of the universal generating function in widely used multi-state systems;
- examples of the adaptation of the universal generating function to different systems in mechanical, industrial and software engineering.

This monograph will be of value to anyone interested in system reliability, performance analysis and optimization in industrial, electrical and nuclear engineering.

This is the first monograph which presents shock and damage models in reliability from introduction to application. Stochastic processes are introduced before current developments are surveyed. The practical applications of shock and damage models are demonstrated using case studies. The author is a leading researcher in this field with more than thirty years of experience. Reliability engineers and managers of maintenance work will find this book a broad reference.