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Wiley-VCH - Industrial Engineering
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Monte Carlo Simulation in Dependability Analysis
System dependability is a complex task to grasp and analyze since it encompasses reliability, maintainability, availability, failure mode analysis and feared events. For operational safety analyses, reliability is a quantitative basis for the other disciplines of maintainability, availability and safety. Reliability metrics such as failure rate or MTBF are often misused as they are only valid for low-maintenance applications, and wrongly for others, as MTBF is only relevant for availability. In addition, in operational safety, many equations do not have explicit solutions, and Monte Carlo simulations are a little-used way of obtaining and/or confirming the solution obtained by numerical methods. Monte Carlo Simulation in Dependability Analysis fills this gap as best as we can. This task is a difficult one, since operational safety is a cross-disciplinary activity in the engineering sciences - cross-disciplinary in that it must be present throughout a product's life cycle. [304 Pages, Hardcover]
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Digital Manufacturing
Drive innovation and efficiency in your manufacturing processes with this comprehensive guide that explores the transformative impact of digital manufacturing technologies, from robotics to Industry 4.0. Digital manufacturing refers to the use of a computer-based system consisting of various tools and software for simulation, analytics, 3D visualization, and business and manufacturing collaboration. Often, these tools and software programs are cloud-based. They enable a manufacturer to connect and integrate manufacturing operations into a streamlined whole. With this centralized computer system, manufacturers have a seamless, connected flow of data related to all their processes and products. This comprehensive volume explores the transformative impact of digital technologies on the manufacturing industry. It delves into the core concepts of digital manufacturing, including automation, additive manufacturing, robotics, digital twins, and Industry 4.0. Covering both the theoretical foundations and practical applications of these technologies, this book provides a detailed understanding of how these technologies are reshaping production processes, improving efficiency, and driving innovation. It highlights the challenges and opportunities of adopting these advancements in the context of modern manufacturing environments. With real-world case studies and insights from industry experts, this book serves as an essential resource for professionals, students, and researchers aiming to understand and implement digital manufacturing solutions. Readers will find the volume: * Introduces technologies for successful improvement in advanced processes and applications of digital manufacturing; * Explores recently developed digital manufacturing technologies; * Discusses the successful fabrication of multipurpose digital manufacturing technologies, the sustainability of digital manufacturing technologies, and the future scope and challenges presented by digital manufacturing technologies. Audience Engineers, researchers, academics, and industry professionals invested in digital manufacturing technologies. [672 Pages, Hardcover]
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Design and Optimization of Mobile Robotics for Industry 5.0
Harness the future of automation with this comprehensive guide, offering an in-depth look at how next-generation mobile robotics are driving the transition to a human-centered and sustainable Industry 5.0. Design and Optimization of Mobile Robotics for Industry 5.0 delivers an in-depth, interdisciplinary look at how next-generation mobile robotic systems are enabling the evolution from Industry 4.0 to a more human-centered, resilient, and sustainable Industry 5.0. This book addresses the technical, ethical, and societal dimensions of robotics technologies, from design principles and autonomous navigation to human-robot interaction and AI integration. It brings together cutting-edge research and real-world case studies across smart manufacturing, agriculture, healthcare, and industrial automation. Readers will explore topics such as digital twins, IoT-enhanced robotics, sensor fusion, and collaborative robotics. With contributions from leading global experts, this volume serves as a comprehensive guide for those involved in designing, deploying, or studying robotics systems that align with the goals of Industry 5.0. [432 Pages, Hardcover]
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Managing Sustainable Operations of Logistics and Supply Chain Management
[464 Pages, Hardcover]
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Decision-Making Techniques and Methods for Sustainable Technological Innovation
This book is an essential guide for anyone looking to drive sustainable technological innovation, providing a comprehensive toolkit of decision-making methods and real-world applications to effectively manage technology in the era of Industry 5.0. Sustainable technological innovation is critical for building a more sustainable future. As the world faces increasing environmental challenges, there is a pressing need for new and innovative technologies that can reduce resource consumption, mitigate environmental impacts, and promote sustainable development. This book focuses on the vital role of decision-making processes in achieving sustainability through technological innovation in the context of Industry 5.0. By delving into various decision-making methods and approaches employed to facilitate sustainable technological innovation across essential industries such as manufacturing, agriculture, and energy, the book will present both theoretical and applied research on managing technology, including decision-making connected to Industry 4.0 and 5.0, artificial intelligence, and other revolutionary techniques. The book covers a wide range of topics, including multiple attribute decision theory, multiple objective decision-making, patent mining, big data analytics, and other decision-making methods and techniques, and features case studies and reviews that highlight real-world applications of sustainable technological innovation in different industries. The exploration of various decision-making methods and approaches for sustainable technological innovation makes this book an essential guide for those looking toward a sustainable Industry 5.0. Readers will find the book: * Emphasizes the role of decision-making processes in enabling sustainable technological innovation, providing a unique perspective on the subject; * Covers a wide range of topics related to decision-making for sustainable technological innovation, including decision theory, multiple attribute and objective decision-making, patent mining, big data analytics, and case studies; * Provides real-world examples and case studies that demonstrate the effectiveness of decision-making processes in promoting sustainable technological innovation across various industries; * Features the latest research and developments in the field, ensuring that readers are up-to-date on the most current thinking on decision-making for sustainable technological innovation. Audience Researchers, practitioners, and students in the fields of computer science, data science, engineering, and mathematics, specifically interested in decision analytics and machine learning algorithms. [288 Pages, Hardcover]
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