Industry 4.0 Driven Manufacturing Technologies
Springer International Publishing (Verlag)
978-3-031-68270-4 (ISBN)
This book is a comprehensive guide to the latest advancements in manufacturing, adopting an Industry 4.0 approach. It covers the core principles of big data informatics, digital twin technology, artificial intelligence, and machine learning strategies. Readers will gain insights into the realm of cyber-physical intelligent systems in production, the role of blockchain, and the significance of information and communication technology.
With a focus on real-time monitoring and data acquisition, the book offers practical solutions for online error troubleshooting in manufacturing systems. It explores a wide range of Industry 4.0-based applied manufacturing technologies and addresses the challenges posed by the dynamic market of production.
Recognizing the lack of a cohesive resource on manufacturing advancements within the context of Industry 4.0, the authors have taken the initiative to compile this valuable knowledge from domain experts. Their goal is to disseminate these insights with this book.
The book will be beneficial to various stakeholders, including industries, professionals, academics, research scholars, senior graduate students, and those in the field of human healthcare. With its comprehensive coverage, the book is an important reference for technical institution libraries and a useful reader for senior graduate students.
Emmanuel Adinyira (PhD) is a Professor of Construction Project Management in the Department of Construction Technology and Management, College of Art and Built Environment, Kwame Nkrumah University of Science and Technology (KNUST) Kumasi, Ghana. His areas of specialisation include construction project management, construction safety, health and environment and construction education and training. He has served as a guest editor, editor, sectional editor, editorial board member and reviewer for several national and international journals and conferences. He has over 200 publications and is widely cited in domian of construction management. His global experience in construction education and training includes working as a visiting scholar at Loughborough University, UK; the University of West of England, Bristol UK and the University of Johannesburg, SA. He has also served as a placement coach (local supervisor) for the Saxion University of Applied Science, Netherlands and Hochschule Fur Technik Stuttgart University of Applied Sciences Germany
Clifford Amoako (PhD) is an Associate Professor at the Department of Planning, KNUST- Kumasi Ghana. As a multidisciplinary development expert, consultant and planning academic, Clifford is passionate about urban development in Africa and the developing world. He holds a PhD in Geography and Environmental Science from Monash University in Melbourne, Australia and MPhil (Planning) from KNUST. His current teaching and research activities are in urban planning and governance, informal urbanization, urban flood vulnerability; transportation planning and poverty reduction. In the last 20 years, Clifford has provided consultancy services in urban and rural transport planning, strategic regional development planning, social impact assessment (SIA) and resettlement action plans (RAP) associated with infrastructure projects and climate change impact studies. The results of many of his research projects and consultancy services have been disseminated through academic papers and conference presentations. He has over 70 research and working papers and consultancy reports on urban informality, flood vulnerability and risk management to his credit.
Titus Ebenezer Kwofie (Ph.D) is a Senior Lecturer in the Department of Architecture, Kwame Nkrumah University of Science and Technology (KNUST), Kumasi, Ghana. His areas of specialization include: Building Informatics, Housing, Construction Technology and Construction Project Management (Communication & Managerial Efficiency). As a chartered Architect, He holds a BSc (Hons) & PG Dip. Degrees in Architecture, MPhil degree in Housing and PhD degree in Construction management with extensive industry and research experience in Construction Project Management & Housing. Titus has served as a reviewer for several indexed national and international journals and conferences. He has been involved in various typologies of projects and researched into a number of construction and housing related issues in Ghana and other African countries and have also participated in a number of international conferences and represented as a resource person in international workshops and postgraduate seminars.
Clinton Aigbavboa is a Professor at the Department of Construction Management and Quantity Surveying, University of Johannesburg, South Africa. He has extensive knowledge in practice, research, training and teaching. He is currently the Director, DSI/NRF Research Chair in sustainable construction management and leadership in the built environment, and Director of the Construction Industry Development Board Centre of Excellence and the Sustainable Human Settlement and Construction Research Centre at the University of Johannesburg. Prof Aigbavboa has authored and co-authored more than 1000 accredited journal articles, conference papers, and book chapters. He is also an author of twenty-seven (
Industry 4.0 in Manufacturing technologies: Pathways and Practices.- Chapter 2. Manufacturing 4.0 evaluation and revolution: A conceptual Framework.- Modeling the barriers in adoption of Industry 4.0 in manufacturing.- Bibliometric analysis of manufacturing techniques in context of Industry 4.0.- Digital twin Model for advanced manufacturing systems.- Manufacturing techniques triggered by Industrial Artificial Intelligence.
| Erscheinungsdatum | 15.09.2024 |
|---|---|
| Reihe/Serie | Springer Series in Advanced Manufacturing |
| Zusatzinfo | XXI, 434 p. 144 illus., 130 illus. in color. |
| Verlagsort | Cham |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Themenwelt | Technik ► Maschinenbau |
| Schlagworte | Artificial Intelligence • Cloud manufacturing • Cyber-physical production system • cybersecurity • Digital Twin • Industry 4.0 • intelligent manufacturing • Internet-based manufacturing • internet of things |
| ISBN-10 | 3-031-68270-X / 303168270X |
| ISBN-13 | 978-3-031-68270-4 / 9783031682704 |
| Zustand | Neuware |
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