This book introduces the latest research on advanced control charts and new machine learning approaches to detect abnormalities in the smart manufacturing process. By approaching anomaly detection using both statistics and machine learning, the book promotes interdisciplinary cooperation between the research communities, to jointly develop new anomaly detection approaches that are more suitable for the 4.0 Industrial Revolution. The book provides ready-to-use algorithms and parameter sheets, enabling readers to design advanced control charts and machine learning-based approaches for anomaly detection in manufacturing. Case studies are introduced in each chapter to help practitioners easily apply these tools to real-world manufacturing processes. The book is of interest to researchers, industrial experts, and postgraduate students in the fields of industrial engineering, automation, statistical learning, and manufacturing industries.

The first handbook to focus exclusively on industrial engineering calculations with a correlation to applications, Handbook of Industrial Engineering Equations, Formulas, and Calculations contains a general collection of the mathematical equations often used in the practice of industrial engineering. Many books cover individual areas of engineering and some cover all areas, but none covers industrial engineering specifically, nor do they highlight topics such as project management, materials, and systems engineering from an integrated viewpoint. Written by acclaimed researchers and authors, this concise reference marries theory and practice, making it a versatile and flexible resource. Succinctly formatted for functionality, the book presents: Basic Math Calculations Engineering Math Calculations Production Engineering Calculations Engineering Economics Calculations Ergonomics Calculations Facility Layout Calculations Production Sequencing and Scheduling Calculations Systems Engineering Calculations Data Engineering Calculations Project Engineering Calculations Simulation and Statistical Equations It has been said that engineers make things while industrial engineers make things better. To make something better requires an understanding of its basic characteristics and the underlying equations and calculations that facilitate that understanding. To do this, however, you don't have to be computational experts; you just have to know where to get the computational resources that are needed. This book elucidates the underlying equations that facilitate the understanding required to improve design processes, continuously improving the answer to the age-old question: What is the best way to do a job?

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.

In many businesses, supply chain people are trapped in reactive roles where they source, contract, purchase, receive, warehouse, and ship as a service. However, in some businesses suppliers contribute to improvement programs, technology, funding, marketing, logistics, and engineering expertise. Breaking into a proactive supply chain role takes broad thinking, a talent for persuasion, and the courage to go after it. This book supplies proven methods to help you do so. A Practical Introduction to Supply Chain describes how to run an efficient supply chain that exceeds expectations in terms of cost, quality, and supplier delivery. It explains the need to integrate systems, the flow of information, and the way in which people work together between commercial purchasing, materials management, and distribution parts of the supply chain. Sharing powerful insights from the perspective of a supply chain manager, the book details practical techniques drawn from the author's decades of experience. It presents methods that apply directly to supply chains involving a physical product, manufactured internally or outsourced, as well as physical operations such as oilfield services. This book demonstrates how to make a supply chain organization work in practice-contributing more to business success than traditional purchasing and logistics organizations can. In addition to writing about practical supply chain issues and approaches, the author also describes proven methods he used while working with client teams on assignments. He also details some of the ways his teams used to manage the people part of the change.

T Level Engineering is written to cover the core elements of the new T Level Engineering qualifications. It provides essential information for T Level Engineering students and teachers, and will be useful as the student moves into higher education or an apprenticeship. The new T Level qualifications offer a realistic option to A Level and other vocational options. After completing a T Level in Engineering the student has a number of options including university courses and higher level apprenticeships. This book is written in an accessible fashion, no previous knowledge of engineering or technology is required, as all the technical terms are readily explained and a detailed glossary and list of abbreviations are included. Whether you are a student, tutor, or work placement manager you will surely find this book an enjoyable read and a handy reference book on your shelf. Andrew Livesey, MA, CEng is an experienced lecturer in engineering at Ashford College, Kent. He was a member of the DfE committee responsible for developing the T Levels and is a T Level Ambassador. His Routledge publications include: Basic Motorsport Engineering (2011), Advanced Motorsport Engineering (2012), The Repair of Vehicle Bodies (2018), Practical Motorsport Engineering (2018), Bicycle Engineering and Technology (2021) and Motorcycle Engineering (2021).

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 details the state-of-the-art methodological advances for delineating the toxicology and working mechanisms of nanomaterials, microplastics, fine aerosol particulates (PM2.5) as well as emerging organic pollutants. It also provides latest computational approaches for toxicity prediction and risk assessment of nanoscale materials which possess realistic chances to enter the environment and human organism. Written by leading scientists at the frontiers of environmental science and nanomedicine, this book is intended for both young researchers and experienced professionals working in the fields of environmental protection, human health and occupational safety, nanotechnology, material science and nanomedicine, as well as graduate students majoring in environmental and health sciences.

This book aims to provide academic and industrial applications advancing the critical role of circular economy principles in the sustainability of various resources. The latest research and practice in resource sustainability are shared, discussed, and promoted. The core competency of this book revolves around providing recent advances in sustainable consumption and production implementations, developed tools for environmental and sustainability assessment, technological advancements in resource and waste management/treatment, and advances in waste reduction, reuse, recycling, and recovery. Resources are defined broadly to include (1) physical resources: metals, non-metallic minerals, energy, and water (2) biological resources: food, forestry, land, ecological systems, etc., and (3) "misplaced" resources: air emissions, water pollutants, and solid waste. Finally, legislation, and policy implications and recommendations for resources sustainability are concluded.

This volume contains the proceedings of the 13th International Conference on Damage Assessment of Structures DAMAS 2019, 9-10 July 2019, Porto, Portugal. It presents the expertise of scientists and engineers in academia and industry in the field of damage assessment, structural health monitoring and non-destructive evaluation. The proceedings covers all research topics relevant to damage assessment of engineering structures and systems including numerical simulations, signal processing of sensor measurements and theoretical techniques as well as experimental case studies.

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.

With success of ICEEE 2010 in Wuhan, China, and December 4 to 5, 2010, the second International Conference of Electrical and Electronics Engineering (ICEEE 2011) will be held in Macau, China, and December 1 to 2, 2011. ICEEE is an annual conference to call together researchers, engineers, academicians as well as industrial professionals from all over the world to present their research results and development activities in Electrical and Electronics Engineering along with Computer Science and Technology, Communication Technology, Artificial Intelligence, Information Technology, etc. This year ICEEE is sponsored by International Industrial Electronics Center, Hong Kong. And based on the deserved reputation, more than 750 papers have been submitted to ICEEE 2011, from which about 94 high quality original papers have been selected for the conference presentation and inclusion in the "Advanced Computer, Communication, and Control" book based on the referees' comments from peer-refereed. All the papers will be published by Lecture Notes in Electrical Engineering (ISSN: 1876-1100), and will be included in Springer Link. We expect that the Advanced Computer, Communication, and Control book will be a trigger for further related research and technology improvements in the importance subject including Signal Processing, Retrieval and Multimedia, Artificial Intelligence, Computing and Intelligent Systems, Machine Learning, Biometric and Biomedical Applications, Neural Networks, Knowledge Discovery and Data Mining, Knowledge-based Systems, Control Systems, Modeling and Simulation Techniques, Wireless Communications, Advances in Wireless Video, etc.

This book sets the fundamentals of modern weaving at a new level. It contains information for the design of woven structures with complex cross section and multiple layers for modern applications, in the way that leading product developers, professors and researchers are using them now. It starts with the classical weaving principles and patterning and extends these quickly to multilayer structures, produced with single and multiple weft insertion devices, woven structures with complex cross section or direct 3D shape. The engineering methods for design of the structures using modern software and modern algorithms are also explained. Finally, an overview of different application areas is given. The book is written by the world leading experts in their fields and is prepared as learning tool for people interested in modern weaving. Exercises and end-of-chapter summaries will help the reader to check his own knowledge.

Addressing product liability concerns and laws both in the U.S. and internationally, this book helps manufacturers and engineers develop and implement proactive processes that can reduce liability concerns and potential lawsuits. It discusses preventive measures in the engineering, development, and manufacturing of products and explains the procedures and processes manufacturers must have in place to reduce the likelihood of liability as well as to provide the best defense in case of a lawsuit. This is a premier resource for engineers, manufacturers, risk managers, and others concerned about product liability.

Estimating Device Reliability: Assessment of Credibility is concerned with the plausibility of reliability estimates obtained from statistical models. Statistical predictions are necessary because technology is always pushing into unexplored areas faster than devices can be made long-lived by design. Flawed reliability methodologies can produce disastrous results, an outstanding example of which is the catastrophic failure of the manned space shuttle CHALLENGER in January 1986. This issue is not whether, but which, statistical models should be used. The issue is not making reliability estimates, but is instead their credibility. The credibility questions explored in the context of practical applications include: What does the confidence level associated with the use of statistical model mean? Is the numerical result associated with a high confidence level beyond dispute? When is it appropriate to use the exponential (constant hazard rate) model? Does this model always provide the most conservative reliability estimate? Are the results of traditional random' failure hazard rate calculations tenable? Are there persuasive alternatives? What model should be used to describe the useful life of a device when wearout is absent? When Weibull and lognormal failure plots containing a large number of failure times appear similar, how should the correct wearout model be selected? Is it important to distinguish between a conservative upper bound on a probability of failure and a realistic estimate of the same probability? Estimating Device Reliability: Assessment of Credibility is for those who are obliged to make reliability calculations with a paucity of somewhat corrupt data, by using inexactmodels, and by making physical assumptions which are impractical to verify. Illustrative examples deal with a variety of electronic devices, ICs and lasers.

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 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.

This book presents a mathematical programming approach to the analysis of production frontiers and efficiency measurement. The authors construct a variety of production frontiers, and by measuring distances to them are able to develop a model of efficient producer behaviour and a taxonomy of possible types of departure from efficiency in various environments. Linear programming is used as an analytical and computational technique in order to accomplish this. The approach developed is then applied to modelling producer behaviour. By focusing on the empirical relevance of production frontiers and distances to them, and applying linear programming techniques to artificial data to illustrate the type of information they can generate, this book provides a unique study in applied production analysis. It will be of interest to scholars and students of economics and operations research, and analysts in business and government.

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

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.

Today, engineering systems are an important element of the world economy and each year billions of dollars are spent to develop, manufacture, operate, and maintain various types of engineering systems around the globe. Many of these systems are highly sophisticated and contain millions of parts. For example, a Boeing jumbo 747 is made up of approximately 4.5 million parts including fasteners. Needless to say, reliability, safety, and maintenance of systems such as this have become more important than ever before. Global competition and other factors are forcing manufacturers to produce highly reliable, safe, and maintainable engineering products. Therefore, there is a definite need for the reliability, safety, and maintenance professionals to work closely during design and other phases. Engineering Systems Reliability, Safety, and Maintenance: An Integrated Approach eliminates the need to consult many different and diverse sources in the hunt for the information required to design better engineering systems.

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.

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.

Overviews manufacturing systems from the ground up, following the same concept as in the first edition.

Delves into the fundamental building blocks of manufacturing systems: manufacturing processes and equipment.

Discusses all topics from the viewpoint of four fundamental manufacturing attributes: cost, rate, flexibility and quality.