The engineering objective of high performance control using the tools of optimal control theory, robust control theory, and adaptive control theory is more achiev able now than ever before, and the need has never been greater. Of course, when we use the term high peiformance control we are thinking of achieving this in the real world with all its complexity, uncertainty and variability. Since we do not expect to always achieve our desires, a more complete title for this book could be "Towards High Performance Control." To illustrate our task, consider as an example a disk drive tracking system for a portable computer. The better the controller performance in the presence of eccen tricity uncertainties and external disturbances, such as vibrations when operated in a moving vehicle, the more tracks can be used on the disk and the more memory it has. Many systems today are control system limited and the quest is for high performance in the real world."

Structures that are essential for economy and security such as energy production, transportation and supply, water supply, buildings, are susceptible to failure, because of defects already present in the material, or created at fabrication, or appearing during service. Methods of assesment of the nocivity of these defects are needed, to predict the remaining service life and the eventual emergency of stopping service and repairing, if possible. To reach this objectives, this book presents the last methods derived from the classical linear, non-linear fracture mechanics concepts, including fatigue and notch fracture mechanics. Several examples of structures rehabilitations and repairing are given.

This book gathers the presentation made during the Advanced Research Workshop held in Portoroz (Slovenia) in October 2008, under the auspices of NATO Science for Peace and Security Programme. It is edited by Professor Guy Pluvinage from the University Paul Verlaine Metz (France) and Professor Aleksandar Sedmak from the University of Belgrade, Faculty of Mechanical Engineering. Both have a long and rich experience in analysis of theoretical and practical cases in safety and reliability of structures. Other contributors are all known as experts in the areas of fatigue, facture and reliability of structures."

For sophomore or junior-level courses in industrial engineering. Divided into two major areas of study - work systems, and work methods, measurement, and management - this guidebook provides up-to-date, quantitative coverage of work systems and how work is analyzed and designed. Thorough, broad-based coverage addresses nearly all of the traditional topics of industrial engineering that relate to work systems and work science. The author's quantitative approach summarizes many aspects of work systems, operations analysis, and work measurement using mathematical equations and quantitative examples.

Engineering Decisions for Life Quality: How Safe is Safe Enough? provides a foundation and a theoretical basis for managing risk to an acceptable level under the real-world constraint of limited resources. The focus is not on risks as such, but on what can be done to maximize the positive outcomes of risk in terms of improvements to the quality of life.

The principal focus of Engineering Decisions for Life Quality: How Safe is Safe Enough? is on the development of guidance for establishing rational standards of practice. Standards should meet the requirement of utilizing resources to achieve the maximum net overall benefit to society within society's capacity to commit such resources.

The ideas discussed within this book will be of interest to engineers; advanced undergraduate and graduate students; public health officials; and risk specialists.

This book is a general presentation of complex systems, examined from the point of view of management. There is no standard formula to govern such systems, nor to effectively understand and respond to them. The interdisciplinary theory of self-organization is teeming with examples of living systems that can reorganize at a higher level of complexity when confronted with an external challenge of a certain magnitude. Modern businesses, considered as complex systems, ideally know how to flexibly and resiliently adapt to their environment, and also how to prepare for change via self-organization. Understanding sources of potential crisis is essential for leaders, though not all crises are necessarily bad news, as creative firms know how to respond to challenges through innovation: new products and markets, organizational learning for collective intelligence, and more.

This book provides the latest research advances in the field of system reliability assurance and engineering. It contains reference material for applications of reliability in system engineering, offering a theoretical sound background with adequate numerical illustrations. Included are concepts pertaining to reliability analysis, assurance techniques and methodologies, tools, and practical applications of system reliability modeling and allocation. The collection discusses various soft computing techniques like artificial intelligence and particle swarm optimization approach for reliability assessment. Importance of differentiating between the optimal release time and testing stop time of the software has been explicitly discussed and presented in the book. Features: Creates understanding of the costs associated with complex systems Covers reliability measurement of engineering systems Incorporates an efficient effort-based expenditure policy incorporating cost and reliability criteria Provides information for optimal testing stop and release time of software system Presents software performance and security layout Addresses reliability prediction and its maintenance through advanced analytics techniques Overall, System Reliability Management: Solutions and Techniques is a collaborative and interdisciplinary approach for better communication of problems and solutions to increase the performance of the system for better utilization and resource management.

This volume presents a rigorous account of statistical forecasting efforts that led to the successful resolution of the Johns-Manville asbestos litigation. This case, taking 12 years to reach settlement, is expected to generate nearly 500,000 claims at a total nominal value of over $34 billion. The forecasting task, to project the number, timing, and nature of claims for asbestos-related injuries from a set of exposed persons of unknown size, is a general problem: the models in this volume can be adapted to forecast industry-wide asbestos liability. More generally, because the models are not overly dependent on the U.S. legal system and the role of asbestos as a dangerous/defective product, this volume will be of interest in other product liability cases, as well as similar forecasting situations for a range of insurable or compensable events. The volume stresses the iterative nature of model building and the uncertainty generated by lack of complete knowledge of the injury process. This uncertainty is balanced against the Court's need for a definitive settlement, and the volume addresses how these opposing principles can be reconciled. The volume is written for a broad audience of actuaries, biostatisticians, demographers, economists, epidemiologists, environmental health scientists, financial analysts, industrial-risk analysts, occumpational health analysts, product liability analysts, and statisticians. The modest prerequisites include basic concepts of statistics, calculus, and matrix algebra. Care is taken that readers without specialized knowledge in these areas can understand the rationale for specific applications of advanced methods. As a consequence, this volume will be an indispensable reference for all whose work involves these topics. Eric Stallard, A.S.A., M.A.A.A., is Research Professor and Associate Director of the Center for Demographic Studies at Duke University. He is a Member of the American Academy of Actuaries and an Associate of the Society of Actuaries. He serves on the American Academy of Actuaries Committees on Long Term Care and Social Insurance. He also serves on the society of Actuaries' Long Term Care Experience Committee. His research interests include modelling and forecasting for medical demography and health actuarial practice. He was the 1996 winner of the National Institute on Aging's James A. Shannon Director's Award. Kenneth G. Manton, Ph.D., is Research Professor, Research Director, and Director of the Center for Demographic Studies at Duke University and Medical Research Professor at Duke University Medical Center's Department of Community and Family Medicine. Dr. Manton is also a Senior Fellow of the Duke University Medical Center's Center for the Study of Aging and Human Development. His research interests include mathematical models of human aging, mortality, and chronic disease. He was the 1990 recipient of the Mindel C. Sheps Award in Mathematical Demography presented by the Population Association of America; and in 1991 he received the Allied-Signal Inc. Achievement Award in Aging administred by the Johns Hopkins Center on Aging. Joel E. Cohen, Ph.D., Dr. P.H., is Professor of Populations, and Head of the Laboratory of Populations, Rockefeller University. He also is Professor of Populations at Columbia University. His research interests include the demography, ecology, epidemiology, and social organization of human and non-human populations, and related mathematical concepts. In 1981, he was elected Fellow of the MacArthur and Guggenheim Foundations. He was the 1992 recipient of the Mindel C. Sheps Award in Mathematical Demography presented by the Population Association of America; and in 1994, he received the Distinguished Statistical Ecologist Award at the Sixth International Congress of Ecology.

This book comprehensively outlines what a holistic and effective Root Cause Analysis (RCA) system looks like. From the designing of the support infrastructure to the measuring of effectiveness on the bottom-line, this book provides the blueprint for making it happen. While traditionally RCA is viewed as a reactive tool, the authors will show how it can be applied proactively to prevent failures from occurring in the first place. RCA is a key element of any successful Reliability Engineering initiative. Such initiatives are comprised of equipment, process and human reliability foundations. Human reliability is critical to the success of a true RCA approach. This book explores the anatomy of a failure (undesirable outcome) as well as a potential failure (high risks). Virtually all failures are triggered by errors of omission or commission by human beings. The methodologies described in this book are applicable to any industry because the focus is on the human being's ability to think through why things go wrong, not on the industry or the nature of the failure. This book correlates reliability to safety as well as human performance improvement efforts. The author has provided a healthy balance between theory and practical application, wrapping up with case studies demonstrating bottom-line results. Features Outlines in detail every aspect of an effective RCA 'system' Displays appreciation for the role of understanding the physics of a failure as well as the human and system's contribution Demonstrates the role of RCA in a comprehensive Asset Performance Management (APM) system Explores the correlation between Reliability Engineering and Safety Integrates the concepts of Human Performance Improvement, Learning Teams, and Human Error Reduction approaches into RCA

INTRODUCTION TO LOGISTICS SYSTEMS MANAGEMENT The updated new edition of the award-winning introductory textbook on logistics system management Introduction to Logistics Systems Management provides an in-depth introduction to the methodological aspects of planning, organization, and control of logistics for organizations in the private, public and non-profit sectors. Based on the authors' extensive teaching, research, and industrial consulting experience, this classic textbook is used in universities worldwide to teach students the use of quantitative methods for solving complex logistics problems. Fully updated and revised, the third edition places increased emphasis on the complexity and flexibility required by modern logistics systems. In this context, the extensive use of data, descriptive analytics, predictive models, and optimization techniques will be invaluable to support the decisions and actions of logistics and supply chain managers. Throughout the book, brand-new case studies and numerical examples illustrate how various methods can be used in industrial and service logistics to reduce costs and improve service levels. The book: includes new models and techniques that have emerged over the past decade; describes methodologies for logistics decision making, forecasting, logistics system design, procurement, warehouse management, and freight transportation management; includes end-of-chapter exercises, Microsoft(R) Excel(R) files and Python(R) computer codes for each algorithm covered; includes access to a companion website with additional exercises, links to video tutorials, and supplementary teaching material. To facilitate creation of course material, additional LaTeX source data containing the formulae, optimization models, tables and algorithms described in the book is available to instructors. Introduction to Logistics Systems Management, Third Edition remains an essential textbook for senior undergraduate and graduate students in engineering, computer science, and management science courses. It is also a highly useful reference for academic researchers and industry practitioners alike.

Every technical investigation involving trial-and-error experimentation embodies a strategy for deciding what experiments to perform, when to quit, and how to interpret the data. This handbook presents several statistically derived strategies which are more efficient than any intuitive approach and will get the investigator to their goal with the fewest experiments, give the greatest degree of reliability to their conclusions, and keep the risk of overlooking something of practical importance to a minimum. Features: Provides a comprehensive desk reference on experimental design that will be useful to practitioners without extensive statistical knowledge Features a review of the necessary statistical prerequisites Presents a set of tables that allow readers to quickly access various experimental designs Includes a roadmap for where and when to use various experimental design strategies Shows compelling examples of each method discussed Illustrates how to reproduce results using several popular software packages on a supplementary website Following the outlines and examples in this book should quickly allow a working professional or student to select the appropriate experimental design for a research problem at hand, follow the design to conduct the experiments, and analyze and interpret the resulting data. John Lawson and John Erjavec have a combined 25 years of industrial experience and over 40 years of academic experience. They have taught this material to numerous practicing engineers and scientists as well as undergraduate and graduate students.

Risk-based, Management-led, Audit-driven, Safety Management Systems, explains what a safety management system (SMS) is, and how it reduces risk in order to prevent accidental losses in an organization. It advocates the integration of safety and health into the day-to-day management of the enterprise as a value, rather than an add-on, and emphasizes that the safety movement must be initiated, led and maintained by management at all levels.

The concepts of safety authority, responsibility and accountability are described as the key ingredients to safety system success. Safety system audits are expounded in simple terms, and leading safety performance indicators are suggested as the most important measurements, in preference to lagging indicators. McKinnon highlights the importance of the identification and control of risk as a key basis for a SMS, with examples of a simple risk matrix and daily task risk assessment, as well as a simplified method of assessing, analyzing, and controlling risks.

The book refers to international Guidelines on SMS, as well as the proposed International Organization for Standardization (ISO) 45001, which could soon become the international safety benchmark for organizations worldwide. Using clear, approachable examples, the chapters give a complete overview of an SMS and its components. Confirming to most of the safety management system Guidelines published by leading world authorities, this volume will allow organizations to structure their own world-class SMS.

Table of Contents

Chapter 1: Introduction

Chapter 2: Accident Causation

Chapter 3: Safety Management Systems and Guidelines

Chapter 4: Risk-based Safety Management Systems

Chapter 5: Management-led Safety Management Systems

Chapter 6: Audit-Driven Safety Management Systems

Chapter 7: Safety Leadership and Organization – Part 1

Chapter 8: Safety Leadership and Organization Elements – Part 2

Chapter 9: Electrical, Mechanical, and Personal Safeguarding – Part 1

Chapter 9: Electrical, Mechanical, and Personal Safeguarding – Part 2

Chapter 11: Emergency Preparedness, Fire Prevention and Protection

Chapter 12: Accident and Near Miss Incident Recording and Investigation

Chapter 13: Workplace Environment Conditions

Chapter 14: Safety Management System Implementation Strategy

Chapter 15: Measuring Performance

Chapter 16: Case Study

A Druid looks at quality control for product and service industries, amplifying from his earlier book Right first time . Some highlights: Quality is a religion, with the same trappings and pitfalls as other religions; humanity can be distorted, but not abolished, by managerial decree and organizatio

Many scientists and technologists would like to carry out their own statistical analyses without reference to a professional statistician. Often, however, they have no knowledge of statistics or otherwise do not know how to apply it to research and development problems. The first edition of Statistics in Research and Development was written for these people. The second edition brings the book up-to-date. The text is divided into two parts; the first introduces basic but very important statistical techniques whilst the second part presents the modern powerful methods of data analysis that are particularly useful in modern research and development. Problems are provided at the end of each chapter with worked solutions provided at the end of the book. A problem-centered approach is used throughout and care has been taken to choose problems with which the scientist or technologist can identify. The results of the statistical analyses are reinterpreted into the language of the scientist. Mathematics is kept to a minimum and the assumptions underlying each technique are clearly explained. All the techniques introduced are powerful and proven, and commercial computer programs are available for many of them.

Testing of materials and manufactured items is a key element in the process from standard specifications though control and verification during manufacture to trade in actual products. Cooperative agreements and networks are being set up covering reference materials and calibration. This process is becoming more urgent with the development in the European market and other international developments. This book presents international views on this fast changing field, with the main themes of: technical components of test quality; quality assurance in testing laboratories; laboratory accreditation and transnational recognition of test results.

Fresh concrete must be produced with the properties required for its intended applications, for example, it must be workable enough to flow into formwork, and to be compacted. This book deals with the measurement of the flow properties of fresh concrete and the factors which affect its workability. Aspects of concrete mixes and control of manufacture to produce optimum properties which relate to workability are covered.

This book provides engineers and scientists with a single source introduction to the concepts, models, and case studies for making credible reliability assessments. It satisfies the need for thorough discussions of several fundamental subjects. Section I contains a comprehensive overview of assessing and assuring reliability that is followed by discussions of: * Concept of randomness and its relationship to chaos * Uses and limitations of the binomial and Poisson distributions * Relationship of the chi-square method and Poisson curves * Derivations and applications of the exponential, Weibull, and lognormal models * Examination of the human mortality bathtub curve as a template for components Section II introduces the case study modeling of failure data and is followed by analyses of: * 5 sets of ideal Weibull, lognormal, and normal failure data * 83 sets of actual (real) failure data The intent of the modeling was to find the best descriptions of the failures using statistical life models, principally the Weibull, lognormal, and normal models, for characterizing the failure probability distributions of the times-, cycles-, and miles-to-failure during laboratory or field testing. The statistical model providing the preferred characterization was determined empirically by choosing the two-parameter model that gave the best straight-line fit in the failure probability plots using a combination of visual inspection and three statistical goodness-of-fit (GoF) tests. This book offers practical insight in dealing with single item reliability and illustrates the use of reliability methods to solve industry problems.

Offering a model, an implementing strategy, as well as traditional and nontraditional methods for the successful enhancement and maintenance of quality, this work establishes a rationale for the continuation of Total Quality Management (TQM) in all organizations. It considers leading quality-related topics, such as unusual charts, supplier-organization-customer relationships, customer needs and expectations, instructional design, adult learning, advanced quality planning, and reliability.

A solid, rigorous, yet comprehensible analysis of process capability indices, this work bridges the gap between theoretical statisticians and quality control practitioners, showing how an understanding of these indices can lead to process improvement.

This comprehensive textbook is a basic reference which should be recommended to students and teachers in engineering, technology and management as well as to the whole community of professionals already working in quality-related areas. The book aims to be a step-by-step introduction to statistical quality assurance. It has been specifically designed for self-study and includes over 100 fully solved exercises and worked examples. In addition to traditional quality control procedures the book also presents very carefully elaborated results of recent research in order to encourage their adoption into practice.

Illustrates the use of systems such as in-process control, quality auditing, and specifications, stressing a troubleshooting, cost-effective approach to product packaging for maximized early lead time to the customer. Addressing the needs of the pharmaceutical industry, the approaches supplied are l

The manufacturing and service sector needs to resolve a lot of issues relating to products, process and service in everyday operation. Successful resolution depends on the methodology, rigor and systematic implementation techniques. The essential purpose of this book is to impart the necessary knowledge to the reader about concepts in six sigma problem-solving providing sufficient knowledge of problem lifecycle and ways to address the various issues arising therein. The 7 QC tools and A3 strategy are described and analyzed in detail with various examples encompassing a step by step approach a professional must know to address a problem in an industrial engineering set up. Key Features Conceptualizes six sigmas problem-solving providing sufficient knowledge of problem lifecycle and ways to address the various issues for manufacturing industry professionals Enables effective use of 7 QC tools for solving problems Addresses the problem- solving part very specifically in all the contexts of PDCA cycle of improvement, DMAIC methodology of organizational transformation, and TPM & TQM culture of productivity and quality improvement Written with A3 theme throughout enabling each problem-solving tool to follow a structured approach Includes relevant and practical examples and applications

Wavelets: Theory and Applications for Manufacturing presents a systematic description of the fundamentals of wavelet transform and its applications. Given the widespread utilization of rotating machines in modern manufacturing and the increasing need for condition-based, as opposed to fix-interval, intelligent maintenance to minimize machine down time and ensure reliable production, it is of critical importance to advance the science base of signal processing in manufacturing. This volume also deals with condition monitoring and health diagnosis of rotating machine components and systems, such as bearings, spindles, and gearboxes, while also: -Providing a comprehensive survey on wavelets specifically related to problems encountered in manufacturing -Discussing the integration of wavelet transforms with other soft computing techniques such as fuzzy logic, for machine defect and severity classification -Showing how to custom design wavelets for improved performance in signal analysis Focusing on wavelet transform as a tool specifically applied and designed for applications in manufacturing, Wavelets: Theory and Applications for Manufacturing presents material appropriate for both academic researchers and practicing engineers working in the field of manufacturing.

Einstein said that insanity is "doing the same thing over and over again and expecting different results." Yet that is exactly what is happening in maintenance organizations. How many times have clients told consultants, "But we've always done it this way?!" In many companies, especially the large ones, we fail to talk to each other enough to know what needs to change to drive continual improvements and reduce waste. This work will guide any size plant or organization to improve how they do maintenance, how to keep their equipment running longer, and create a more efficient and streamlined structure so they can be competitive in today's market. The practical solutions offered in this work present the perfect antidote for maintenance insanity. The book is chock-full of useful checklists, flowcharts, templates and other helpful documents that readers can customize for their own needs. These are available in black and white in the book, and in full-color versions on an affiliated website, www.maintenanceinsanitv.com.

This book presents a collection of real cases from industrial practices that production system and quality managers implement to ensure a high quality as well as a low cost in products. This book is divided in sections that are focused on: * The quality and philosophies implemented to production systems; starting from the product design as well as from the supply system. * The principal statistical techniques applied to the quality assurance (statistical quality control, analysis of tests and failure, quality function deployment, accelerated life tests, among others), the process of gathering information, its validation, its reliability process, and techniques for data analysis. * The techniques applied to the integration of human resources in the process of quality assurance, such as managers and operators' participation, training, and training processes. * Use of information and communications technologies, software, and programs implemented to guarantee the quality of the products in the production systems. ISO standards and policies that are used for quality management and monitoring.