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The focus of this book is an application of Digital Twin as a concept and an approach, based on the most accurate view on a physical production system and its digital representation of complex engineering products and systems. It describes a methodology to create and use Digital Twin in a built environment for the improvement and optimization of factory processes such as factory planning, investment planning, bottleneck analysis, and in-house material transport. The book provides a practical response based on achievements of engineering informatics in solving challenges related to the optimization of factory layout and corresponding processes. This book introduces the topic, providing a foundation of knowledge on process planning, before discussing the acquisition of objects in a factory and the methods for object recognition. It presents process simulation techniques, explores challenges in process planning, and concludes by looking at future areas of progression. By providing a holistic, trans-disciplinary perspective, this book will showcase Digital Twin technology as state-of-the-art both in research and practice.
No one discipline or person can encompass all the knowledge necessary to solve complex, ill-defined problems, or problems for which a solution is not immediately obvious. The concept of Concurrent Engineering (CE) – interdisciplinary, but with an engineering focus – was developed to increase the efficiency and effectiveness of the Product Creation Process (PCP) by conducting different phases of a product’s life concurrently. Transdisciplinary Engineering has transcended CE, emphasizing the crucial importance of interdisciplinary openness and collaboration. This book presents the proceedings of the 28th ISTE International Conference on Transdisciplinary Engineering (TE2021). Held online from 5 – 9 July 2021 and entitled ‘Transdisciplinary Engineering for Resilience: Responding to System Disruptions’, this is the second conference in the series held virtually due to the COVID-19 pandemic. The annual TE conference constitutes an important forum for international scientific exchange on transdisciplinary engineering research, advances, and applications, and is attended by researchers, industry experts and students, as well as government representatives. The book contains 58 peer-reviewed papers, selected from more than 80 submissions and ranging from the theoretical and conceptual to strongly pragmatic and addressing industrial best practice. The papers are grouped under 6 headings covering theory; education and training; PD methods and digital TE; industry and society; product systems; and individuals and teams. Providing an overview of the latest research results and knowledge of product creation processes and related methodologies, the book will be of interest to all researchers, design practitioners, and educators working in the field of Transdisciplinary Engineering.
This book covers the most important subjects of digital twin in a process plant, including foundations, methods, achievements, and applications in a brownfield environment. Besides offering a variety of applications and procedural variants from research and industrial practice, this book also provides a comprehensive insight into holistic plant planning. It also discusses the challenges that currently exist in different application areas. This book would be of interest to industry professionals and researchers in industrial and manufacturing engineering.
This book presents the proceedings of TE2022, the 29th ISTE International Conference on Transdisciplinary Engineering, held at the Massachusetts Institute of Technology in Cambridge, United States, from 5 – 8 July 2022. Transdisciplinary engineering is the exchange of knowledge in the context of an innovation, in product, process, organisation or social environment. ISTE aims to explore and promote the evolution of engineering to incorporate transdisciplinary practices in which the exchange of different types of knowledge from a diverse range of disciplines is fundamental. The theme for the TE2022 conference is the future of engineering, and the 75 papers included here, which have all undergone a rigorous peer-review process, cover a wide range of topics and are grouped under 10 headings: Requirements, Knowledge and Architecture in Engineering; Case Studies; Energy, Environment, and Sustainability; Engineering Teamwork; Digital Engineering; imulation, Optimization, and Analytics; Manufacturing; Policy, Decisions, and Innovation; Engineering Education; Research on TE. The book will be of interest to all those working in the field of engineering today.
Logistics and transportation are a complex set of entities and systems interconnected by many physical, financial, and information flows, and, as with all systems, there are optimization and planning issues. In addition, they are subject to economic, social, and especially environmental pressures with the need to reduce energy consumption and greenhouse gas emissions. There is a need for original research to address these issues. Transport and Logistics Planning and Optimization addresses selected transportation and logistics problems at the strategic, tactical, and operational levels in a multidisciplinary approach, not only from a technological perspective but also from a social science perspective. Covering key topics such as supply chain, urban transportation, artificial intelligence, and computer science, this premier reference source is ideal for policymakers, industry professionals, researchers, academicians, scholars, instructors, and students.
This book presents peer-reviewed papers from 14th International Conference on Learning Factories (CLF 2024) that took place from April 17-19, 2024, at the University of Twente, the Netherlands. CLF 2024 continued the successful CLF conference series targeting the latest research and development in the field of learning factories. The book is organized into two volumes and covers state-of-the-art research insights towards Learning Factories of the Future including learning factory design, Industry 5.0, digital twinning and VR/AR, 5G/6G in learning factories, AI for manufacturing systems, human-centred work design, human-robot collaboration, sustainability in learning factories, as well as cross-learning factory product/production systems. The book seamlessly integrates theory with real-world practice, empowering learners such as students, qualified engineers, and workers to keep pace with rapidly evolving technologies and methodologies, through enhancing learning factories. It also helps society and industry effectively manage future transitions with addressing current topics around digitalization, sustainability, and lifelong learning in industry.
The Metaverse seamlessly integrates the real world with the virtual world and allows avatars to engage in a broad range of activities including entertainment, social networking, and trading. In this book, we dive into the Metaverse by discussing how blockchains connect various Metaverse components, digital currencies, and blockchain-empowered applications in the virtual world. On the other hand, Web3 has also attracted considerable attention due to its uniquely decentralized characteristics. The digital economy, currently undergoing a rapid development, is a critical driver to highly efficient societies. It is imperative that we investigate how to use Web3 technologies to address the critical concerns encountered during the development of the digital economy by fully exploring Web3. In this book, we also share insights into the Web3-based ecosystem in the Metaverse; topics of interest include decentralized finance, digital assets, the asset-trading market, etc. Unlike most works on the subject, this book mainly concentrates on insights and discussions regarding blockchain, the Metaverse and Web3. In other words, it focuses on using blockchain technologies to enable an ecosystem for both the Metaverse and Web3. Topics addressed include blockchain fundamentals, smart contracts, value circulation in the Metaverse, the connection between the Metaverse and Web3, the establishment of the Metaverse on the basis of blockchain technologies, decentralized autonomous organization, decentralized storage, digital economy, Web3-based economic systems for the Metaverse, etc. This book will be a valuable resource for students, researchers, engineers, and policymakers working in various areas related to blockchain, the Metaverse and Web3. We hope that it will also inspire readers from academia and industry alike, and ultimately help them create a truly open, fair, and rational ecosystem for the Metaverse and Web3.
This book provides a practical and user-friendly approach to successfully transform an organization into a lean organization throughout the business value chain. The author describes comprehensively how lean management principles enable organizations to concentrate on value-adding activities and processes to achieve a long-term and sustainable competitive advantage. The book shows how lean management principles are ultimately applied in industries and explores the concepts of Kaizen and Lean Management thoroughly. Kaizen and Lean Management are innovative and modern concepts that help organizations gain a competitive advantage. Kaizen is the permanent improvement in small steps, while Lean Management is a set of principles focusing on customer satisfaction. The foundation of these two concepts is grounded in the principle of eliminating waste and concentrating on value added processes for which the customers are willing to pay for. Through this, organizations will become more efficient throughout the value chain including internal functions, partners and suppliers, and will achieve a long-term competitive advantage.
Simple problems have become rare in today’s technologically advanced world. Problems are typically much more complex, and solving them requires integrative knowledge from several disciplines. Technology alone cannot be the answer. Collaborative teams equipped with knowledge and skills in various disciplines are indispensable to exploit technologies effectively and create new conceptual, theoretical, methodological, and translational innovations that integrate and move beyond discipline-specific approaches to address a common problem in the changing and connected world. This book presents the proceedings of TE2023, the 30th International Conference on Transdisciplinary Engineering, held in Hua Hin Cha Am, Thailand from 11-14 July 2023. The theme of this year’s conference was Leveraging Transdisciplinary Engineering in a Changing and Connected World, and it provided a forum for more than 115 participants from academia and industry to exchange knowledge and ideas connected to this aspect of transdisciplinary engineering. A total of 117 submissions were received for the conference, of which 93 were selected for presentation and publication here following a rigorous abstract and full-paper review process. They are arranged under 7 categories: product design and development; team working; smart operations for value chain management; transdisciplinary approaches; engineering education; critical issues in transdisciplinary engineering; and theoretical contributions. Providing a comprehensive overview of the latest innovations and ideas in transdisciplinary engineering, the book will be of interest to all those working in the field.
This book introduces Industrial AI in multiple dimensions. Industrial AI is a systematic discipline which focuses on developing, validating and deploying various machine learning algorithms for industrial applications with sustainable performance. Combined with the state-of-the-art sensing, communication and big data analytics platforms, a systematic Industrial AI methodology will allow integration of physical systems with computational models. The concept of Industrial AI is in infancy stage and may encompass the collective use of technologies such as Internet of Things, Cyber-Physical Systems and Big Data Analytics under the Industry 4.0 initiative where embedded computing devices, smart objects and the physical environment interact with each other to reach intended goals. A broad range of Industries including automotive, aerospace, healthcare, semiconductors, energy, transportation, mining, construction, and industrial automation could harness the power of Industrial AI to gain insights into the invisible relationship of the operation conditions and further use that insight to optimize their uptime, productivity and efficiency of their operations. In terms of predictive maintenance, Industrial AI can detect incipient changes in the system and predict the remains useful life and further to optimize maintenance tasks to avoid disruption to operations.