This book covers the mechanism, salient features, and important aspects of various subtractive, additive, forming and hybrid techniques to manufacture near net-shaped products. The latest research in this area as well as possible future research are also highlighted.

Lean TPM is an accessible, step-by-step guide designed to help you increase manufacturing efficiency through continuous improvement. Based on their experience of working with organizations that have successfully achieved outstanding performance, McCarthy and Rich provide the tools and techniques required to convert strategic vision into practical reality. Packed with real-life case studies and examples to highlight common pitfalls and proven approaches, the book focuses on the continuous improvement that can be achieved within any manufacturing environment by challenging wasteful working practices, releasing the potential of the workforce, and making processes work as planned. Lean TPM contains an integrated route map along with comprehensive benchmark data to enable engineers, technicians and managers to fully explore this potent technique.

This book aims to provide theoretical and empirical frameworks and highlights the challenges and solutions with using Big Data for Corporate Social Responsibility (CSR) and Sustainability in the field of digital transformation and tourism. Sustainability, Big Data, and Corporate Social Responsibility: Evidence from the Tourism Industry offers a theoretical and empirical framework in the field of digital transformation and applies it to the tourism sector. It discusses Big Data used with CSR and sustainability for the improvement of innovation and highlights the challenges and prospects. It presents a modern insight and approach for use by decision-makers as an application to solve various problems and explores how data collection can shed light on consumer behavior making it possible to account for existing situations and plan for the future. This book is intended to provide a modern insight for researcher, students, professionals, and decision-makers on the application of Big Data to improve CSR and sustainability in the tourism sector.

This book gathers selected papers presented at the 1st International Conference on Industrial Applications of Adhesives 2020 (IAA 2020). It covers a wide range of topics, including adhesive curing for electronic and automotive industries; adhesive testing with a torsion machine for rigorous mechanical properties determination; joint design using innovative techniques such as the meshless method; design methodologies in the automotive industry for joints under impact; temperature effects in joints typically found in civil engineering; and advanced nondestructive techniques such as terahertz spectroscopy to assess the durability of adhesive joints. Providing a review of the state-of the art in industrial applications of adhesives, the book serves as a valuable reference resource for researchers and graduate students interested in adhesive bonding.

This book discusses several new, near-net-shape techniques for fabricating highly reliable, high-performance, complex ceramic parts. In the context of materials design, the creation of high-performance ceramic products of desired shapes has led to the need for new ceramic forming processes. The near-net-shape techniques combine both injection-molding and colloidal-forming processes. Reviewing and summarizing the research and latest advances, the book is divided into 6 parts: (1) the basic theory, development, and application of the colloidal injection molding of ceramics; (2) the tape casting technology; (3) the reliability of the product; (4) the colloidal injection molding of Si3N4 and SiC; (5) low-toxicity systems; and (6) the novel in-situ coagulation casting of ceramic suspensions via controlled release of high-valence counter ions and dispersant removal. It is intended for researchers and graduates in materials science and engineering.

This book presents various concepts and applications related to risk-conscious operations management. It also provides an overview of the risk-based engineering - fundamental to the concept of risk-conscious operations management. It presents the reliability concept to support Dependency Modelling, which includes hardware systems structures and components for reliability improvement and risk reduction. The book further develops and builds attributes and model for risk-conscious culture - critical to characterize operational approach to risk and presents human factor modelling, where it works on developing an approach for human error precursor analysis. This book will be useful for students, researchers, academicians and professionals working on identifying risk and reliability issues in complex safety and mission critical systems. It will also be beneficial for industry risk-and-reliability experts and operational safety staff working in the complex engineering systems.

Everything you need to design, implement, and manage a successful QFD program The QFD Handbook is a total how-to guide for companies planning to initiate a QFD program as well as those that already have one in place. Over the course of 23 contributed chapters, organized according to subject area, this book tutors managers and engineers in basic and advanced QFD principles and practices. Among more advanced topics covered are Taguchi methods, FMEA, TRIZ, and Business Process Reengineering. In addition to traditional application areas, you will find in-depth discussions of QFD in ISO 9000, QS 9000, environmental life cycle, service design, robust design, and software design. On the disk Designed to function in conjunction with the book or as a stand-alone tool for everyday use, the QFD/Pathway software helps QFD teams to develop, deploy, and manage a complete QFD program. This user-friendly, interactive software tool provides valuable assistance at each step of the QFD process, helping members define customer needs, establish goals, translate goals into specific actions, overcome common roadblocks, and more. The QFD Handbook is an indispensable resource for executives, managers, engineers, and R&D professionals who want their companies to survive and thrive in today’s supercompetitive industrial marketplace.

Computational intelligence is rapidly becoming an essential part of reliability engineering. This book offers a wide spectrum of viewpoints on the merger of technologies. Leading scientists share their insights and progress on reliability engineering techniques, suitable mathematical methods, and practical applications. Thought-provoking ideas are embedded in a solid scientific basis that contribute to the development the emerging field. This book is for anyone working on the most fundamental paradigm-shift in resilience engineering in decades. Scientists benefit from this book by gaining insight in the latest in the merger of reliability engineering and computational intelligence. Businesses and (IT) suppliers can find inspiration for the future, and reliability engineers can use the book to move closer to the cutting edge of technology.

This book describes the future of microscopically small medical devices and how to locate a lab to start conducting your own do-it-yourself microelectromechanical systems (MEMS) research in one of the many national, international, government, and other regional open use facilities, where you can quickly begin designing and fabricating devices for your applications. You will learn specific, tangible information on what MEMS are and how a device is fabricated, including what the main types of equipment are in these facilities. The book provides advice on working in a cleanroom, soft materials, collaboration, intellectual property and privacy issues, regulatory compliance, and how to navigate other issues that may arise. This book is primarily aimed at researchers and students who work at universities without MEMS facilities, and small companies who need access to MEMS resources.

In the latter half of the 20th century, forces have conspired to make the human community, at last, global. The easing of tensions between major nations, the expansion of trade to worldwide markets, widespread travel and cultural exchange, pervasive high-speed communications and automation, the explosion of knowledge, the streamlining of business, and the adoption of flexible methods have changed the face of manufacturing itself, and of research and education in manufacturing. The acceptance of the continuous improvement process as a means for organizations to respond quickly and effectively to swings in the global market has led to the demand for individuals educated in a broad range of cultural, organizational, and technical fields and capable of absorbing and adapting required knowledge and training throughout their careers. No longer will manufacturing research and education focus on an industrial sector or follow a national trend, but rather will aim at enabling international teams of companies to cooperate in rapidly designing, prototyping, and manufacturing products. The successful enterprise of the 21st century will be characterized by an organizational structure that efficiently responds to customer demands and changing global circumstances, a corporate culture that empowers employees at all levels and encourages constant communication among related groups, and a technological infrastructure that fully supports process improvement and integration. In changing itself to keep abreast of the broader transformation in manufacturing, the enterprise must look first at its organization and culture, and thereafter at supporting technologies.

Addresses the complete functional framework workflow in IoT technology Explores basic and high level concepts Provides data based intelligent and automated systems through Industrial IoT and its implications to the real world Discusses the major applications Presents an interdisciplinary platform

Offers fundamental theories and practical and more sophisticated applications of Evolutionary Computation in varied industries Provides insight into various platforms, paradigms, techniques, and tools used in Evolutionary Computation for diverse fields Presents an understanding related to optimization, performance tuning, virtualization, deployment models, and their applications Covers a variety of applications for social and essential models and is based on real life examples Useful for decision making based on optimized data through Evolutionary Computation in multi-dimensions

This book provides engineers and scientists with practical fundamentals for turbomachinery design. It presents a detailed analysis of existing procedures for the analysis of rotor and structure dynamics, while keeping mathematical equations to a minimum. Specific terminologies are used for rotors and structures, respectively, allowing the readers to clearly distinguish between the two. Further, the book describes the essential concepts needed to understand rotor failure modes due to lateral and torsional oscillations. It guides the reader from simple single-degree-of-freedom models to the most complex multi-degree-of-freedom systems, and provides useful information concerning steel pedestal stiffness degradation and other structural issues. Fluid-film bearing types and their dynamical behavior are extensively covered and discussed in the context of various turbomachinery applications. The book also discusses shaft alignment and rotor balancing from a practical point of view, providing readers with essential information to help them solve practical problems. As the main body of the book focuses on the diagnostics and description of case studies addressing the most pressing practical issues, together with their successful solutions, it offers a valuable reference guide, helping field engineers manage day-to-day issues with turbomachinery.

With the rapidly advancing fields of Data Analytics and Computational Statistics, it's important to keep up with current trends, methodologies, and applications. This book investigates the role of data mining in computational statistics for machine learning. It offers applications that can be used in various domains and examines the role of transformation functions in optimizing problem statements. Data Analytics, Computational Statistics, and Operations Research for Engineers: Methodologies and Applications presents applications of computationally intensive methods, inference techniques, and survival analysis models. It discusses how data mining extracts information and how machine learning improves the computational model based on the new information. Those interested in this reference work will include students, professionals, and researchers working in the areas of data mining, computational statistics, operations research, and machine learning.

This book comprises select peer-reviewed papers from the International Conference on Emerging Trends in Electromechanical Technologies & Management (TEMT) 2019. The focus is on current research in interdisciplinary areas of mechanical, electrical, electronics and information technologies, and their management from design to market. The book covers a wide range of topics such as computer integrated manufacturing, additive manufacturing, materials science and engineering, simulation and modelling, finite element analysis, operations and supply chain management, decision sciences, business analytics, project management, and sustainable freight transportation. The book will be of interest to researchers and practitioners of various disciplines, in particular mechanical and industrial engineering.

This book contains contributions from the international conference "Engineering Innovations and Sustainable Development," organized by three Russian universities on June 17-18, 2021. By presenting international research on various sustainability issues, it includes topics such as current trends in industrial and agricultural development, innovations in the construction and transport sectors, problems concerning the financing of innovative activities and governmental support for innovations, and engineering competences and skills in the era of new technologies. It also covers the economic, environmental, and informational aspects of sustainable development in the context of innovations. Finally, the book addresses theoretical and practical aspects by studying the phenomenon of sustainability and engineering development in terms of comparing international experiences. It provides significant value for scientists, teachers, and students of higher educational institutions, and specialists, who are researching sustainable development issues in the era of engineering innovations.

This contributed book focuses on major aspects of statistical quality control, shares insights into important new developments in the field, and adapts established statistical quality control methods for use in e.g. big data, network analysis and medical applications. The content is divided into two parts, the first of which mainly addresses statistical process control, also known as statistical process monitoring. In turn, the second part explores selected topics in statistical quality control, including measurement uncertainty analysis and data quality. The peer-reviewed contributions gathered here were originally presented at the 13th International Workshop on Intelligent Statistical Quality Control, ISQC 2019, held in Hong Kong on August 12-14, 2019. Taken together, they bridge the gap between theory and practice, making the book of interest to both practitioners and researchers in the field of statistical quality control.

This book presents the latest advances in flowsheet simulation of solids processes, focusing on the dynamic behaviour of systems with interconnected solids processing units, but also covering stationary simulation. The book includes the modelling of solids processing units, for example for comminution, sifting and particle formulation and also for reaction systems. Furthermore, it examines new approaches for the description of solids and their property distributions and for the mathematical treatment of flowsheets with multivariate population balances.

The book comprehensively covers the various aspects of risk modeling and analysis in technological contexts. It pursues a systems approach to modeling risk and reliability concerns in engineering, and covers the key concepts of risk analysis and mathematical tools used to assess and account for risk in engineering problems. The relevance of incorporating risk-based structures in design and operations is also stressed, with special emphasis on the human factor and behavioral risks. The book uses the nuclear plant, an extremely complex and high-precision engineering environment, as an example to develop the concepts discussed. The core mechanical, electronic and physical aspects of such a complex system offer an excellent platform for analyzing and creating risk-based models. The book also provides real-time case studies in a separate section to demonstrate the use of this approach. There are many limitations when it comes to applications of risk-based approaches to engineering problems. The book is structured and written in a way that addresses these key gap areas to help optimize the overall methodology. This book serves as a textbook for graduate and advanced undergraduate courses on risk and reliability in engineering. It can also be used outside the classroom for professional development courses aimed at practicing engineers or as an introduction to risk-based engineering for professionals, researchers, and students interested in the field.

Over the years, companies have developed independent systems for managing process safety, environment, health, safety, and quality. Many aspects of these management systems are similar. Integrating EHS management systems can yield economies and improved system effectiveness. This book explains how integration reduces cost of delivery through a reduction in the number of management program steps and avoidance of redundancy; how it results in more effective programs, since the best practices can be combined into a single process; and how this integration brings a faster, and more cost effective response to new demands.

Cyber-physical systems (CPSs) combine cyber capabilities, such as computation or communication, with physical capabilities, such as motion or other physical processes. Cars, aircraft, and robots are prime examples, because they move physically in space in a way that is determined by discrete computerized control algorithms. Designing these algorithms is challenging due to their tight coupling with physical behavior, while it is vital that these algorithms be correct because we rely on them for safety-critical tasks. This textbook teaches undergraduate students the core principles behind CPSs. It shows them how to develop models and controls; identify safety specifications and critical properties; reason rigorously about CPS models; leverage multi-dynamical systems compositionality to tame CPS complexity; identify required control constraints; verify CPS models of appropriate scale in logic; and develop an intuition for operational effects. The book is supported with homework exercises, lecture videos, and slides.

Traditionally, electrical machines are classi?ed into d. c. commutator (brushed) machines, induction (asynchronous) machines and synchronous machines. These three types of electrical machines are still regarded in many academic curricula as fundamental types, despite that d. c. brushed machines (except small machines) have been gradually abandoned and PM brushless machines (PMBM) and switched reluctance machines (SRM) have been in mass p- duction and use for at least two decades. Recently, new topologies of high torque density motors, high speed motors, integrated motor drives and special motors have been developed. Progress in electric machines technology is stimulated by new materials, new areas of applications, impact of power electronics, need for energy saving and new technological challenges. The development of electric machines in the next few years will mostly be stimulated by computer hardware, residential and public applications and transportation systems (land, sea and air). At many Universities teaching and research strategy oriented towards el- trical machinery is not up to date and has not been changed in some co- tries almost since the end of the WWII. In spite of many excellent academic research achievements, the academia-industry collaboration and technology transfer are underestimated or, quite often, neglected. Underestimation of the role of industry, unfamiliarity with new trends and restraint from technology transfer results, with time, in lack of external ?nancial support and drastic - cline in the number of students interested in Power Electrical Engineering.

This is the second of two volumes that together provide an overview of the latest advances in the generation and application of digital twins in bioprocess design and optimization. Both processes have undergone significant changes over the past few decades, moving from data-driven approaches into the 21st-century digitalization of the bioprocess industry. Moreover, the high demand for biotechnological products calls for efficient methods during research and development, as well as during tech transfer and routine manufacturing. In this regard, one promising tool is the use of digital twins, which offer a virtual representation of the bioprocess. They reflect the mechanistics of the biological system and the interactions between process parameters, key performance indicators and product quality attributes in the form of a mathematical process model. Furthermore, digital twins allow us to use computer-aided methods to gain an improved process understanding, to test and plan novel bioprocesses, and to efficiently monitor them. This book focuses on the application of digital twins in various contexts, e.g. computer-aided experimental design, seed train prediction, and lifeline analysis. Covering fundamentals as well as applications, the two volumes offers the ideal introduction to the topic for researchers in academy and industry alike.

This third edition textbook provides the basics of reliability physics and engineering that are needed by electrical engineers, mechanical engineers, civil engineers, biomedical engineers, materials scientists, and applied physicists to help them to build better devices/products. The information contained within should help all fields of engineering to develop better methodologies for: more reliable product designs, more reliable materials selections, and more reliable manufacturing processes- all of which should help to improve product reliability. A mathematics level through differential equations is needed. Also, a familiarity with the use of excel spreadsheets is assumed. Any needed statistical training and tools are contained within the text. While device failure is a statistical process (thus making statistics important), the emphasis of this book is clearly on the physics of failure and developing the reliability engineering tools required for product improvements during device-design and device-fabrication phases.

This book provides a detailed explanation of the cold spray process from a practical standpoint. Drawing on the authors' 36 years of research and development experience, it is firmly rooted in theory but also substantiated by empirical data and practical knowledge, offering potential users the information they need to recognize the advantages, as well as the limitations, of cold spray. This sets it apart from previous works on the subject, which have been purely academic. Cold spray technology has made great dramatic strides over the last 10 years and is now being used extensively in the aerospace, electronics, automotive, medical, and even the petrochemical industries. Most recently, cold spray of near-net shaped parts was accomplished - something previously assumed to be impossible because of the limitations of commercially available cold spray systems and a lack of fundamental understanding regarding the process. The cost of cold spray has also declined, making it appealing to industry through the introduction of new powders, surface preparation techniques, and recovery systems tailored to the cold spray process. Though primarily intended for users of the technology, this handbook is also a valuable resource for researchers interested in advances in cold spray materials, improved feedstock powders, advanced hardware and software development, surface preparation techniques, and the numerous applications developed to date. For example, cold spray aluminum alloys have been developed that offer the strength and ductility of wrought material in the as-sprayed condition. This has yet to be achieved by conventional powder consolidation methods including laser sintering, electron beam, and ultrasonic techniques. Other topics covered include additive manufacturing, structural repair, nondestructive evaluation, advanced cold spray materials, qualification requirements, cold spray systems comparison, and, finally, helium recovery. Thanks to its practical focus, the book provides readers with everything they need to understand, evaluate, and implement cold spray technology.