The integration of manufacturing planning functions, using artificial intelligence techniques, is essential for the effective and efficient operation of advanced manufacturing systems. This book provides an introduction to the integration of intelligent manufacturing systems for both present and next generation manufacturing. Because of its central importance, the book emphasizes the integration of the process planning functions.

In this book, basic sciences and applied technologies in 3D printing and 2D coating-including 2D surface modulations on 3D printed objects-are described to explore and to image novel multidimensional additive manufacturing. Renowned researchers were selected from universities and national institutes as authors by the editorial board established in the Surface Modification Research and Technology Committee of the Japan Welding Engineering Society. The main readers of this book are expected to be graduate students, professional researchers, and engineers. Here, they can acquire abundant knowledge of digital design concepts and functional evaluations, enabling them practice material selection and process parameter optimization in novel additive manufacturing.

This is the first book to examine the "nuts and bolts" of production processes. It proposes a truly consilient approach to modeling production processes - one that goes beyond the vague principles found in standard economics - and provides details that are consistent with the applied mechanics and engineering literature. Providing a credible analysis of some of the most pressing questions of our era, such as the productivity slowdown and the information paradox, and bridging the gap between engineering, applied physics, economics, and management science, this book is a fascinating read for anyone interested in industry, the modern economy, and how physical factors constrain productivity growth.

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.

The book includes the latest research advances and cutting-edge analyses of real case studies in the disciplines of Industrial Engineering and Operations Management from diverse international contexts. This work presents a revised version of the best papers presented at the XIII International Conference on Industrial Engineering and Industrial Management promoted by ADINGOR (Asociacion para el Desarrollo de la Ingenieria de Organizacion), which took place at the Polytechnic School of Engineering of Gijon (University of Oviedo), Asturias, Spain, from July 11th to 12th, 2019.

Uncertainty is an inherent feature of both properties of physical systems and the inputs to these systems that needs to be quantified for cost effective and reliable designs. The states of these systems satisfy equations with random entries, referred to as stochastic equations, so that they are random functions of time and/or space. The solution of stochastic equations poses notable technical difficulties that are frequently circumvented by heuristic assumptions at the expense of accuracy and rigor. The main objective of "Stochastic Systems" is to promoting the development of accurate and efficient methods for solving stochastic equations and to foster interactions between engineers, scientists, and mathematicians. To achieve these objectives "Stochastic Systems "presents:

. A clear and brief review of essential concepts on probability theory, random functions, stochastic calculus, Monte Carlo simulation, and functional analysis

. ""Probabilistic models for random variables and functions needed to formulate stochastic equations describing realistic problems in engineering and applied sciences

. ""Practical methods for quantifying the uncertain parameters in the definition of stochastic equations, solving approximately these equations, and assessing the accuracy of approximate solutions

"Stochastic Systems "provides key information for researchers, graduate students, and engineers who are interested in the formulation and solution of stochastic problems encountered in a broad range of disciplines. Numerous examples are used to clarify and illustrate theoretical concepts and methods for solving stochastic equations. The extensive bibliography and index at the end of the book constitute an ideal resource for both theoreticians and practitioners.

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Wireless technology has expanded rapidly as a field over recent years, especially in mobile and distance technologies, and collaboration over networks demands increases in speed, security, and reliability. Wireless Multi-Access Environments and Quality of Service Provisioning: Solutions and Application serves as a vital resource for practitioners to learn about the latest research and methodology within the field of wireless technology. This book covers important aspects of emerging technologies in the heterogeneous next generation network environment with focus on wireless communications and their quality. It presents network selection mechanisms, handover solutions and adaptive techniques, and identifies the research issues and challenges and presents a survey of the proposed solutions in the literature. It includes important chapters written by researchers from prestigious laboratories from Australia, China, Mexico, Portugal, Greece, Germany, the United Kingdom, and India, presenting the current advancements in wireless communications.

This book discusses condition based monitoring of rotating machines using intelligent adaptive systems. The book employs computational intelligence and fuzzy control principles to deliver a module that can adaptively monitor and optimize machine health and performance. This book covers design and performance of such systems and provides case studies and data models for fault detection and diagnosis. The contents cover everything from optimal sensor positioning to fault diagnosis. The principles laid out in this book can be applied across rotating machinery such as turbines, compressors, and aircraft engines. The adaptive fault diagnostics systems presented can be used in multiple time and safety critical applications in domains such as aerospace, automotive, deep earth and deep water exploration, and energy.

For graduate level courses in Operations Management or Business Processes. A structured, data-driven approach to understanding core operations management concepts. Anupindi shows how managers can design and manage process structure and process drivers to improve the performance of any business process. The third edition retains the general process view paradigm while providing a sharper, more streamlined presentation of the development of ideas in each chapter-all of which are illustrated with contemporary examples from practice.

This introductory textbook is designed for a one-semester course on queueing theory that does not require a course on stochastic processes as a prerequisite. By integrating the necessary background on stochastic processes with the analysis of models, the work provides a sound foundational introduction to the modeling and analysis of queueing systems for a broad interdisciplinary audience of students in mathematics, statistics, and applied disciplines such as computer science, operations research, and engineering. This edition includes additional topics in methodology and applications. Key features: * An introductory chapter including a historical account of the growth of queueing theory in more than 100 years. * A modeling-based approach with emphasis on identification of models * Rigorous treatment of the foundations of basic models commonly used in applications with appropriate references for advanced topics. * A chapter on matrix-analytic method as an alternative to the traditional methods of analysis of queueing systems. * A comprehensive treatment of statistical inference for queueing systems. * Modeling exercises and review exercises when appropriate. The second edition of An Introduction of Queueing Theory may be used as a textbook by first-year graduate students in fields such as computer science, operations research, industrial and systems engineering, as well as related fields such as manufacturing and communications engineering. Upper-level undergraduate students in mathematics, statistics, and engineering may also use the book in an introductory course on queueing theory. With its rigorous coverage of basic material and extensive bibliography of the queueing literature, the work may also be useful to applied scientists and practitioners as a self-study reference for applications and further research. "...This book has brought a freshness and novelty as it deals mainly with modeling and analysis in applications as well as with statistical inference for queueing problems. With his 40 years of valuable experience in teaching and high level research in this subject area, Professor Bhat has been able to achieve what he aimed: to make [the work] somewhat different in content and approach from other books." - Assam Statistical Review of the first edition

A recent development in SDC-related problems is the establishment of intelligent SDC models and the intensive use of LMI-based convex optimization methods. Within this theoretical framework, control parameter determination can be designed and stability and robustness of closed-loop systems can be analyzed. This book describes the new framework of SDC system design and provides a comprehensive description of the modelling of controller design tools and their real-time implementation. It starts with a review of current research on SDC and moves on to some basic techniques for modelling and controller design of SDC systems. This is followed by a description of controller design for fixed-control-structure SDC systems, PDF control for general input- and output-represented systems, filtering designs, and fault detection and diagnosis (FDD) for SDC systems. Many new LMI techniques being developed for SDC systems are shown to have independent theoretical significance for robust control and FDD problems.

This book presents the concepts and algorithms of advanced industrial process control and on-line optimization within the framework of a multilayer structure. It describes the interaction of three separate layers of process control: direct control, set-point control, and economic optimization. The book features illustrations of the methodologies and algorithms by worked examples and by results of simulations based on industrial process models.

Essential reading on the latest advances in virtual prototyping and rapid manufacturing. Includes 110 peer reviewed papers covering: 1. Biomanufacturing, 2. CAD and 3D data acquisition technologies, 3. Materials, 4. Rapid tooling and manufacturing, 5. Advanced rapid prototyping technologies and nanofabrication, 6. Virtual environments and simulation and 7. Novel Applications. For all thos working on V&RP, focused on inducing increased collaboration between industry and academia.

This book gathers selected papers from the Second International Symposium on Software Reliability, Industrial Safety, Cyber Security and Physical Protection of Nuclear Power Plant, held in Chengdu, China on August 23-25, 2017. The symposium provided a platform of technical exchange and experience sharing for a broad range of experts, scholars and nuclear power practitioners. The book reflects the state of the art and latest trends in nuclear instrumentation and control system technologies, as well as China's growing influence in this area. It offers a valuable resource for both practitioners and academics working in the field of nuclear instrumentation, control systems and other safety-critical systems, as well as nuclear power plant managers, public officials and regulatory authorities.

This book is about applied materials research in industry. It presents various important topics and challenges and gives guidance to materials researchers who move to industry. The book focuses on the materials manufacturing issues for industrial application. It deals with developments and challenges in traditional materials areas, such as metals and ceramics, and new opportunities that have risen from nanotechnology and additive manufacturing. The chapters, written by senior people from large companies, include successful manufacturing undertakings, several distinct and unresolved manufacturing challenges, with the focus on approaches, timelines and the skills needed for future company research and development. The book provides a cross-section of current and future approaches valuable for new employees and academics working in industry.

This book develops and describes a general methodology that can be applied to any complex human activity (activity with a non-trivial, multi-level internal structure). The structural components of complex activities are considered, and their logical, cause-and-effect, and process structures are functionally described. Considerable attention is paid to organization and management, uncertainties, and the lifecycles of activities, as well as the actors, subject matter, resources, knowledge, and methods involved. Several typical examples are used throughout the text to illustrate the implementation of common approaches involving the functioning of work groups, organizational units, projects, and organizations in general: a retail bank, an aircraft manufacturer, a fire department, and a nuclear power plant. In addition, the book employs a system of connected technical models, in order to ensure that the results are of practical applicability for both experts on the ground and scholars engaged in research on the general principles of how activities (practical, scientific, etc.) are organized or on the management of socio-technical systems.

This book provides a comprehensive review of the production of smelter grade alumina from bauxite ores. It emphasizes the best practices applied in the industry today but seen in a historical context with a view to future challenges and developments. The control of alumina quality is discussed in detail including the effects that alumina quality have on the aluminum smelter process with respect to environmental performance, current efficiency, and metal purity. The discussion of alumina quality will be relevant to people on the smelter side, as this is the interface between refinery and smelter. Emphasis is placed on the major steps of the Bayer Process including: digestion, clarification, precipitation, calcination, and management of water, energy, and bauxite residue. This book is a valuable resource for active, seasoned practitioners and for new engineers entering the industry.

This book explains global trends and strategies in the shipping business, looking at the role of logistics service providers and at how information technology can help shipping operations. It also introduces best practices and advice that will allow professionals to improve the management of shipping and logistics activities.  The book consists of sections examining shipping and trade, business strategies for shipping, intermodal container transport operations, and ports.  This new edition adds a new fifth section with four new chapters that discusses contemporary issues in shipping. The new chapters are related to risk management in shipping, shipping security and safety, environmental and social sustainability, and a review of new technologies in the shipping industry and their future potential.   An invaluable source of information for researchers and advanced, or graduate, students, Shipping and Logistics Management is also a useful reference for shipping practitioners and consultants.

As this book is the first book worldwide in the "sustainable" management of luxury area, it highlights key aspects in the sustainable management of luxury based on presentations using different approaches, whether reflexive, empirical, hands-on or applied theory and cases.

This volume attempts to bring together a collection of current approaches to, and related empirical investigations on, the development of coordination in the first two years of life. It will be of interest to scientists and students in, for example, biology, human movement sciences, kinesiology, psychology, pediatrics, physiology, physical education, physical therapy and robotics.

Contributors include those with established reputations in the field, as well as young authors, who are beginning to make their mark. Their efforts resulted in twenty chapters, of which seventeen were invited. The chapters have been divided into four sections. The first chapter is intended to outline the structure of the book.

This book contains a selection of revised and extended research articles written by prominent researchers participating in the 27th World Congress on Engineering and Computer Science (WCECS 2019) which was held in San Francisco, USA, on October 22-24, 2019. Topics covered include engineering mathematics, electrical engineering, communications systems, computer science, chemical engineering, systems engineering, manufacturing engineering, and industrial applications. With contributions carefully chosen to represent the most cutting-edge research presented during the conference, the book contains some of the state-of-the-art in engineering technologies and the physical sciences and their applications and serves as a useful reference for researchers and graduate students working in these fields.

This book analyses quantitative open source software (OSS) reliability assessment and its applications, focusing on three major topic areas: the Fundamentals of OSS Quality/Reliability Measurement and Assessment; the Practical Applications of OSS Reliability Modelling; and Recent Developments in OSS Reliability Modelling. Offering an ideal reference guide for graduate students and researchers in reliability for open source software (OSS) and modelling, the book introduces several methods of reliability assessment for OSS including component-oriented reliability analysis based on analytic hierarchy process (AHP), analytic network process (ANP), and non-homogeneous Poisson process (NHPP) models, the stochastic differential equation models and hazard rate models. These measurement and management technologies are essential to producing and maintaining quality/reliable systems using OSS.

The 1980s have witnessed a tremendous growth in the field of computer integrated manufacturing systems. The other major areas of development have been computer-aided design, computer-aided manufacturing, industrial robotics, automated assembly, cellular and modular material handling, computer networking and office automation to name just a few. These new technologies are generally capital intensive and do not conform to traditional cost structures. The net result is a tremendous change in the way costs should be estimated and economic analyses performed. The majority of existing engineering economy texts still profess application of traditional analysis methods. But, as was men tioned above, it is clear that the basic trend in manufacturing industries is itself changing. So it is quite obvious that the practice of traditional economic analysis methods should change too. This book is an attempt to address the various issues associated with non-traditional methods for evaluation of advanced computer-integrated technologies. This volume consists of twenty refereed articles which are grouped into five parts. Part one, Economic Justification Methods, consists of six articles. In the first paper, Soni et at. present a new classification for economic justification methods for advanced automated manufacturing systems. In the second, Henghold and LeClair look at strengths and weaknesses of expert systems in general and more specifically, an ap plication aimed at investment justification in advanced technology. The third paper, by Carrasco and Lee, proposes an enhanced economic methodology to improve the needs analysis, conceptual design and de tailed design activities associated with technology modernization."

Asset Condition, Information Systems and Decision Models, is the second volume of the Engineering Asset Management Review Series. The manuscripts provide examples of implementations of asset information systems as well as some practical applications of condition data for diagnostics and prognostics. The increasing trend is towards prognostics rather than diagnostics, hence the need for assessment and decision models that promote the conversion of condition data into prognostic information to improve life-cycle planning for engineered assets. The research papers included here serve to support the on-going development of Condition Monitoring standards. This volume comprises selected papers from the 1st, 2nd, and 3rd World Congresses on Engineering Asset Management, which were convened under the auspices of ISEAM in collaboration with a number of organisations, including CIEAM Australia, Asset Management Council Australia, BINDT UK, and Chinese Academy of Sciences, Beijing University of Chemical Technology, China. Asset Condition, Information Systems and Decision Models will be of particular interest to finance, maintenance, and operations personnel whose roles directly affect the capability value of engineering asset base, as well as asset managers in both industry and government.

Reliability, Maintainability, and Supportability play a crucial role in achieving a competitive product. While manufacturing costs are important for the success of a product, they are not the sole domains in realizing its competitive edge. Improved manufacturing and operating quality and performance coupled with reduced acquisition cost and in-service cost of ownership are important in achieving business success. It is the early phase of design which offers the greatest opportunity to address these requirements, and thus create life cycle effectiveness. The main objective of Reliability, Maintenance and Logistic Support - A Life Cycle Approach is to provide an integrated approach to reliability, maintainability, maintenance and logistic support analysis. We not only look at the ways we can improve the design process to ensure the product offers value for money, but we also consider how the owners can get the most from these products once they have entered service. The approach provides a meaningful way of integrating reliability, maintenance and supportability to enhance the product performance and sales opportunities. Hence, the book covers the following objectives: (1) Introduce the concepts of reliability, maintainability and supportability and their role in the system life cycle and effectiveness. (2) Introduce the basic probability and statistical techniques that are essential for modelling reliability, maintainability and supportability problems. (3) Introduce reliability measures: how to predict them; how to determine from in-service real-world data; how to use them. (4) Analysis of advanced models in Reliability. (5) Discuss basic and advanced concepts in both maintainability and maintenance including preventive, corrective and condition based maintenance. (6) Discuss maintenance management and optimization concepts, such as reliability-centered maintenance and age-related maintenance. (7) Provide basic concepts in supportability and Integrated logistic support. (8) Discuss techniques for design for reliability, maintainability and supportability. (9) Analysis of simple and advanced models in spares forecasting and optimization. (10) Discuss data analysis, data management and data mining techniques.