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Advances in Automotive Production Technology - Digital Product Development and Manufacturing
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This open access book compiles the outcome of the 3rd Stuttgart Conference on Automotive Production (SCAP2024). The peer-reviewed contributions in this book are arranged thematically in four parts and cover a wide variety of topics: (A) Digital Methods and Models, (B) Digitalization of the Industrial and Automotive Value Chain, (C) Data-Driven Technologies, and (D) Sustainability and Circular Economy. SCAP2024 was organized by ARENA2036 in close collaboration with the Institute for Control Engineering of Machine Tools and Manufacturing Units of the University of Stuttgart. The conference took place on site from November 20-22, 2024, and provided the opportunity for national and international scientists to present their latest research results. The conference has taken another big step in becoming an established forum for topics related to the production and mobility of the future. The great success of this year's conference will be continued with the next SCAP in 2026 with new forward-looking topics
Manufacturing Engineering Handbook, Second Edition
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Offers complete details on traditional, advanced, and emerging manufacturing engineering processes. Written by a team of 58 international experts, this second edition shows how to optimize all aspects of the global manufacturing process and build the highest quality goods at the lowest price in the shortest possible time. All new topics include cloud computing, Internet of Things, 3D printing, nano manufacturing and advanced manufacturing, and operations research.
Lean Assembly
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With examples drawn from aerospace, electronics, household appliance, personal products, and automotive industries, Lean Assembly covers the engineering of assembly operations through: Characterizing the demand in terms of volume by product and product family, component consumption, seasonal variability and life cycle. Matching the physical structure of the shop floor to the demand with the goal of approaching takt-driven production as closely as possible. Working out the details of assembly tasks station by station, including station sizing, tooling, fixturing, operator instructions, part presentation, conveyance between stations, and the geometry of assembly lines as a whole. Incorporating mistake-proofing, successive inspection, and test operations for quality assurance. Lean Assembly differs from most other books on lean manufacturing in that it focuses on technical content as a driver for implementation methods. The emphasis is on exactly what should be done. This book should be the "dog-eared" and "penciled-in" resource on every assembly engineer's desk.
Process Control Techniques for High-Volume Production
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This book details most common statistical process control tools with many examples for high-volume production. It aims to make elements of high-volume production process control simple and easy to understand. It lets you thoroughly understand process controls instead of blindly trusting software tools that operate as black boxes. If you are dealing with high-volume production as an operator, line supervisor, inspector, process engineer, quality engineer, manufacturing manager, plant manager, or president of the company, you have to understand the statistical process control basics explained in this book in order to be successful.
Production Scheduling for the Process Industries
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This book is aimed at manufacturing and planning managers who struggle to bring a greater degree of stability and more effective use of assets to their operations, not realizing the degree to which production scheduling affects those objectives. It has been reported that 75% of the problems on the manufacturing floor are caused by activities outside the plant floor. Poor production scheduling strategies and systems are often the biggest contributors to the 75%. The book explains in detail that no scheduling strategy, and especially no transition to a different and better scheduling strategy, will succeed without strong commitment and guidance from senior leadership. Leadership must understand their active role in the transition, that people will feel uncomfortable and even threatened by change, and that they will need to be measured by different standards. Effective scheduling requires that following the schedule and production to plan is more important than trying to maximize each day's throughput. The book explains the advantages of a structured, regularly repeating schedule: how it can increase throughput, right-size inventory based on cycles and variabilities and therefore make it more usable, and improve customer delivery. It will explain the trade-offs between throughput, inventory, and delivery performance, how those trade-offs are actually decided in production scheduling, and how an appropriate scheduling strategy can make the trade-offs and their ramifications visible. It discusses several popular structured scheduling concepts, their similarities, and differences, to allow the readers to decide which might fit best in their environments. In addition, the authors discuss what makes an appropriate scheduling software system, and why a package designed for structured scheduling offers capabilities well beyond the Excel workbooks used by many companies, and how it offers much more design capability and ease of use than the finite scheduling modules in SAP or Oracle. Finally, the authors offer a proven roadmap for implementation, critical success factors necessary to achieve the full potential, and give examples of operations that have done this well. In addition, a guide for leaders and managers post-implementation is provided to help them fully exploit the advantages of a structured, repeating scheduling strategy.
From the American System to Mass Production, 1800-1932
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Digital Transformation in Smart Manufacturing
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The purpose of this book is to provide an overview of the new industrial revolution: the "Industry 4.0." Globalization and competitiveness are forcing companies to review and improve their production processes. Industry 4.0 is a revolution that involves many different sectors and is still evolving. It represents the integration of tools already used in the past (big data, cloud, robot, 3D printing, simulation, etc.) that are now connected to a smart network by transmitting digital data at high speeds. The implementation of a 4.0 system represents a huge change for companies, which are faced with big investments. The idea of the book is to present practices, challenges, and opportunities related to the Industry 4.0. This book is intended to be a useful resource for anyone who deals with this issue.
Smart Manufacturing
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Research efforts in the past ten years have led to considerable advances in the concepts and methods of smart manufacturing. Smart Manufacturing: Concepts and Methods puts these advances in perspective, showing how process industries can benefit from these new techniques. The book consolidates results developed by leading academic and industrial groups in the area, providing a systematic, comprehensive coverage of conceptual and methodological advances made to date.Written by leaders in the field from around the world, Smart Manufacturing: Concepts and Methods is essential reading for graduate students, researchers, process engineers, and managers. It is complemented by a companion book titled Smart Manufacturing: Applications and Case Studies, which covers the applications of smart manufacturing concepts and methods in process industries and beyond.- Takes a process-systems engineering approach to design, monitoring, and control of smart manufacturing systems- Brings together the key concepts and methods of smart manufacturing, including the advances made in the past decade- Includes coverage of computation methods for process optimization, control, and safety, as well as advanced modelling techniques
Smart Digital Manufacturing
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The world progresses toward Industry 4.0, and manufacturers are challenged to successfully navigate this unique digital journey. To some, digitalization is a golden opportunity; to others, it is a necessary evil. But to optimist and pessimist alike, there is a widespread puzzlement over the practical details of digitalization. To many manufacturers, digital transformation is a vague and confusing concept they nevertheless must grapple with in order to survive the Fourth Industrial Revolution. The proliferation of digital manufacturing technologies adds to the confusion, leaving many manufacturers perplexed and unprepared, with little real insight into how emerging technologies can help them sustain a competitive edge in their markets. This book effectively conveys Siemens's knowledge and experience through a concept called "Smart Digital Manufacturing," a stepwise approach to realizing the promise of the Fourth Industrial Revolution. The Smart Digital Manufacturing roadmap provides guidance and enables low-risk, high-reward adoption of new manufacturing software technologies through a series of tipping-point investment decisions that result in optimized manufacturing performance. The book provides readers with a clear understanding of what digital technology has to offer them, and how and when to invest in these essential components of tomorrow?s factories. René Wolf is Senior Vice President of Manufacturing Operations Management Software for Siemens Digital Industries Software, a business unit of the Siemens Digital Factory Division. Raffaello Lepratti is Vice President of Business Development and Marketing for Siemens Digital Industries Software.
Designing Smart Manufacturing Systems
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Design of Smart Manufacturing Systems covers the fundamentals and applications of smart manufacturing or Industry 4.0 system design, along with interesting case studies. Digitization and Cyber-Physical Systems (CPS) have vastly increased the amount of data available to manufacturing production systems. This book addresses the planning, modeling and experimentation of different decision-making problems as well as the conditions that affect manufacturing. In addition, recent developments in the design of smart manufacturing and its applications are explained, covering the needs of both researchers and practitioners.To fully navigate the challenges and opportunities of smart manufacturing systems, contributions are drawn from operations research, information systems, computer science and industrial engineering as well as manufacturing engineering.- Addresses hot topics like cybersecurity and artificial intelligence in smart manufacturing systems- Provides case studies that show how solutions have been applied in practice- Explores how smart manufacturing systems may impact on operators
Artificial Intelligence in Manufacturing
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This open access book presents a rich set of innovative solutions for artificial intelligence (AI) in manufacturing. The various chapters of the book provide a broad coverage of AI systems for state of the art flexible production lines including both cyber-physical production systems (Industry 4.0) and emerging trustworthy and human-centered manufacturing systems (Industry 5.0). From a technology perspective, the book addresses a wide range of AI paradigms such as deep learning, reinforcement learning, active learning, agent-based systems, explainable AI, industrial robots, and AI-based digital twins. Emphasis is put on system architectures and technologies that foster human-AI collaboration based on trusted interactions between workers and AI systems. From a manufacturing applications perspective, the book illustrates the deployment of these AI paradigms in a variety of use cases spanning production planning, quality control, anomaly detection, metrology, workers' training, supply chain management, as well as various production optimization scenarios. This is an open access book.
Artificial Intelligence-Enabled Digital Twin for Smart Manufacturing
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An essential book on the applications of AI and digital twin technology in the smart manufacturing sector. In the rapidly evolving landscape of modern manufacturing, the integration of cutting-edge technologies has become imperative for businesses to remain competitive and adaptive. Among these technologies, Artificial Intelligence (AI) stands out as a transformative force, revolutionizing traditional manufacturing processes and making the way for the era of smart manufacturing. At the heart of this technological revolution lies the concept of the Digital Twin--an innovative approach that bridges the physical and digital realms of manufacturing. By creating a virtual representation of physical assets, processes, and systems, organizations can gain unprecedented insights, optimize operations, and enhance decision-making capabilities. This timely book explores the convergence of AI and Digital Twin technologies to empower smart manufacturing initiatives. Through a comprehensive examination of principles, methodologies, and practical applications, it explains the transformative potential of AI-enabled Digital Twins across various facets of the manufacturing lifecycle. From design and prototyping to production and maintenance, AI-enabled Digital Twins offer multifaceted advantages that redefine traditional paradigms. By leveraging AI algorithms for data analysis, predictive modeling, and autonomous optimization, manufacturers can achieve unparalleled levels of efficiency, quality, and agility. This book explains how AI enhances the capabilities of Digital Twins by creating a powerful tool that can optimize production processes, improve product quality, and streamline operations. Note that the Digital Twin in this context is a virtual representation of a physical manufacturing system, including machines, processes, and products. It continuously collects real-time data from sensors and other sources, allowing it to mirror the physical system's behavior and performance. What sets this Digital Twin apart is the incorporation of AI algorithms and machine learning techniques that enable it to analyze and predict outcomes, recommend improvements, and autonomously make adjustments to enhance manufacturing efficiency. This book outlines essential elements, like real-time monitoring of machines, predictive analytics of machines and data, optimization of the resources, quality control of the product, resource management, decision support (timely or quickly accurate decisions). Moreover, this book elucidates the symbiotic relationship between AI and Digital Twins, highlighting how AI augments the capabilities of Digital Twins by infusing them with intelligence, adaptability, and autonomy. Hence, this book promises to enhance competitiveness, reduce operational costs, and facilitate innovation in the manufacturing industry. By harnessing AI's capabilities in conjunction with Digital Twins, manufacturers can achieve a more agile and responsive production environment, ultimately driving the evolution of smart factories and Industry 4.0/5.0. Audience This book has a wide audience in computer science, artificial intelligence, and manufacturing engineering, as well as engineers in a variety of industrial manufacturing industries. It will also appeal to economists and policymakers working on the circular economy, clean tech investors, industrial decision-makers, and environmental professionals.
