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Industry 4.0 Concepts Processes and Systems

Industry 4.0 Concepts Processes and Systems

This book presents a comprehensive discussion of the recent advances in Industry 4. 0 manufacturing processes and intelligent techniques. It will serve as an ideal reference text for graduate students and academic researchers in the fields of manufacturing engineering industrial engineering mechanical engineering and production engineering. This text introduces Industry 4. 0 its evolution and essential pillars of Industry 4. 0 including calibration metrology quality control robotics artificial intelligence and the Internet of Things. It comprehensively covers important topics including the cold spray technique for additive manufacturing tool condition monitoring robotic manipulators metrology quality control and the Internet of Things in Industry 4. 0. The book: Discusses additive manufacturing and applications of lasers in advanced manufacturing Covers sensors actuators and calibration techniques for next-generation industries Emphasizes the recycling of materials for sustainable manufacturing Explores latest advances in the Internet of Things robotics artificial intelligence and machine learning in view of Industry 4. 0 Provides a conceptual framework of Industry 4. 0 with the help of applications and case studies The text is primarily written for graduate students and academic researchers in the fields of manufacturing engineering industrial engineering mechanical engineering and production engineering. | Industry 4. 0 Concepts Processes and Systems

GBP 120.00
1

Artificial Intelligence and Blockchain in Industry 4.0

Artificial Intelligence and Blockchain in Industry 4.0

The book addresses the challenges in designing blockchain-based secured solutions for Industry 4. 0 applications using artificial intelligence. It further provides a comparative analysis of various advanced security approaches such as edge computing cybersecurity and cloud computing in the realm of information technology. This book: Address the challenges in designing blockchain-based secured solutions for Industry 4. 0 applications using artificial intelligence Provides a comparative analysis of various advanced security approaches such as edge computing cybersecurity and cloud computing in the realm of information technology Discusses the evolution of blockchain and artificial intelligence technology from fundamental theories to practical aspects Illustrates the most recent research solutions that handle the security and privacy threats while considering the resource-constrained in Industry 4. 0 devices Showcases the methods and tools necessary for intelligent data analysis and gives solutions to problems resulting from automated data collection The text aims to fill the gap between the theories of blockchain and its practical application in business government and defense among other areas. It further highlights the challenges associated with the use of blockchain for various industry 4. 0 applications such as data analytics software-defined networks cyber-physical systems drones and cybersecurity. The text is primarily written for senior undergraduate graduate students and academic researchers in the fields of electrical engineering electronics and communication engineering computer engineering manufacturing engineering and industrial engineering. | Artificial Intelligence and Blockchain in Industry 4. 0

GBP 120.00
1

Sustainability in Industry 4.0 Challenges and Remedies

Principles of Entrepreneurship in the Industry 4.0 Era

Blockchain for Healthcare 4.0 Technology Challenges and Applications

Blockchain for Healthcare 4.0 Technology Challenges and Applications

Blockchain is a type of distributed ledger technology that consists of a growing list of records that are securely linked together using cryptography and numerous applications in every field including healthcare. Blockchain for Healthcare 4. 0: Technology Challenges and Applications presents an overview of the recent advances in blockchain technology which have led to new breakthroughs in the healthcare industry the application of artificial intelligence (AI) with blockchain challenges and prospects. Key Features: • Highlights blockchain applications in the biomedical and pharmaceutical industries and remote healthcare. • Discusses applications and advancement in blockchain framework to track diseases and outbreaks. • Elaborates the role of blockchain in managing health records tracing and securing medical supplies. • Focuses on efficient and secure medical data sharing through blockchain and secure cloud-based electronic health record (EHR) a system using an attribute-based cryptosystem. • Presents techniques and methods to utilize blockchain technology for clinical studies and facilitates the transition to patient-driven interoperability. The text is primarily written for graduate students and academic researchers in the fields of computer science and engineering biomedical engineering electrical engineering and information technology. | Blockchain for Healthcare 4. 0 Technology Challenges and Applications

GBP 89.99
1

Cyber Security and Operations Management for Industry 4.0

Logistics 4.0 Digital Transformation of Supply Chain Management

Logistics 4.0 Digital Transformation of Supply Chain Management

Industrial revolutions have impacted both manufacturing and service. From the steam engine to digital automated production the industrial revolutions have conduced significant changes in operations and supply chain management (SCM) processes. Swift changes in manufacturing and service systems have led to phenomenal improvements in productivity. The fast-paced environment brings new challenges and opportunities for the companies that are associated with the adaptation to the new concepts such as Internet of Things (IoT) and Cyber Physical Systems artificial intelligence (AI) robotics cyber security data analytics block chain and cloud technology. These emerging technologies facilitated and expedited the birth of Logistics 4. 0. Industrial Revolution 4. 0 initiatives in SCM has attracted stakeholders’ attentions due to it is ability to empower using a set of technologies together that helps to execute more efficient production and distribution systems. This initiative has been called Logistics 4. 0 of the fourth Industrial Revolution in SCM due to its high potential. Connecting entities machines physical items and enterprise resources to each other by using sensors devices and the internet along the supply chains are the main attributes of Logistics 4. 0. IoT enables customers to make more suitable and valuable decisions due to the data-driven structure of the Industry 4. 0 paradigm. Besides that the system’s ability of gathering and analyzing information about the environment at any given time and adapting itself to the rapid changes add significant value to the SCM processes. In this peer-reviewed book experts from all over the world in the field present a conceptual framework for Logistics 4. 0 and provide examples for usage of Industry 4. 0 tools in SCM. This book is a work that will be beneficial for both practitioners and students and academicians as it covers the theoretical framework on the one hand and includes examples of practice and real world. | Logistics 4. 0 Digital Transformation of Supply Chain Management

GBP 66.99
1

Handbook of Smart Manufacturing Forecasting the Future of Industry 4.0

Handbook of Smart Manufacturing Forecasting the Future of Industry 4.0

This handbook covers smart manufacturing development processing modifications and applications. It provides a complete understanding of the recent advancements in smart manufacturing through its various enabling manufacturing technologies and how industries and organizations can find the needed information on how to implement smart manufacturing towards sustainability of manufacturing practices. Handbook of Smart Manufacturing: Forecasting the Future of Industry 4. 0 covers all related advances in manufacturing such as the integration of reverse engineering with smart manufacturing industrial internet of things (IIoT) and artificial intelligence approaches including Artificial Neural Network Markov Decision Process and Heuristics Methodology. It offers smart manufacturing methods like 4D printing micro-manufacturing and processing of smart materials to assist the biomedical industries in the fabrication of human prostheses and implants. The handbook goes on to discuss how to accurately predict the requirements identify errors and make innovation for the manufacturing process more manageable by implementing various advanced technologies and solutions into the traditional manufacturing process. Strategies and algorithms used to incorporate smart manufacturing into different sectors are also highlighted within the handbook. This handbook is an invaluable resource for stakeholders industries professionals technocrats academics research scholars senior graduate students and human healthcare professionals. | Handbook of Smart Manufacturing Forecasting the Future of Industry 4. 0

GBP 150.00
1

Handbook of Manufacturing Systems and Design An Industry 4.0 Perspective

Handbook of Manufacturing Systems and Design An Industry 4.0 Perspective

This book provides a comprehensive overview of manufacturing systems their role in product/process design and their interconnection with an Industry 4. 0 perspective especially related to design manufacturing and operations. Handbook of Manufacturing Systems and Design: An Industry 4. 0 Perspective provides the knowledge related to the theories and concepts of Industry 4. 0. It focuses on the different types of manufacturing systems in Industry 4. 0 along with associated design and control strategies. It concentrates on the operations in Industry 4. 0 with a particular focus on supply chain logistics risk management and reverse engineering perspectives. Offering basic concepts and applications through to advanced topics the handbook feeds into the goal of being a source of knowledge as well as a vehicle to explore the future possibilities of design techniques methods and operations associated with Industry 4. 0. Concepts with practical applications in the form of case studies are added to each chapter to round out the many attributes this handbook offers. This handbook targets students engineers managers designers and manufacturers and will assist in their understanding of the core concepts of manufacturing systems in connection with Industry 4. 0 and optimize alignment between supply and demand in real time for effective implementation of the design concepts. | Handbook of Manufacturing Systems and Design An Industry 4. 0 Perspective

GBP 150.00
1

Industry 4.0 Challenges Trends and Solutions in Management and Engineering

Industry 4.0 Challenges Trends and Solutions in Management and Engineering

Industry 4. 0 is a challenge for today’s businesses. It’s a concept that encompasses the technological innovations of automation control and information technology as it’s applied to manufacturing processes. It’s a new topic that recently emerged in academia and industry with few books that target both management and engineering. This book will cover the new advances and the way to manage competitive organizations. The chapters will include terms of theory evidence and/or methodology and significantly advance social scientific research. This book: Focuses on the latest and most recent research findings occurring on the topic of Industry 4. 0 Presents the ways companies around the world are facing today's technological challenges Assists researchers and practitioners in selecting the correct options and strategies to manage competitive organizations Provides recent advances in international studies Encompasses the main technological innovations in the fields of automation control and information technology applied to the manufacturing processes Industry 4. 0: Challenges Trends and Solutions in Manangment and Engineering is designed to increase the knowledge and effectiveness of all managers and engineers in all organizations and activity sectors Carolina Machado has been teaching in the Human Resources Management subjects since 1989 at University of Minho Portugal. She has been an associate professor since 2004 with experience and research interest areas in the field of Human Resource Management International Human Resource Management Human Resource Management in SMEs Training and Development Emotional Intelligence Management Change Knowledge Management and Management/HRM in the Digital Age. She is head of the Department of Management and head of the Human Resources Management Work Group at University of Minho as well as chief editor of the International Journal of Applied Management Sciences and Engineering (IJAMSE). J. Paulo Davim is a professor at the Department of Mechanical Engineering of the University of Aveiro Portugal. He has more than 30 years of teaching and research experience in Manufacturing Materials Mechanical and Industrial Engineering with special emphasis in Machining & Tribology. He has also interest in Management Engineering Education and Higher Education for Sustainability. He has worked as evaluator of projects for ERC (European Research Council) and other international research agencies. | Industry 4. 0 Challenges Trends and Solutions in Management and Engineering

GBP 130.00
1

Industry 4.0 Technologies for Business Excellence Frameworks Practices and Applications

Smart Manufacturing Technologies for Industry 4.0 Integration Benefits and Operational Activities

Smart Manufacturing Technologies for Industry 4.0 Integration Benefits and Operational Activities

This book addresses issues related to the integration of digital evolutionary technologies and provides solutions to various challenges encountered during the implementation process. With real-time case studies the book explains the smart technologies available and their operational applications and benefits in the manufacturing sector. Smart Manufacturing Technologies for Industry 4. 0: Integration Benefits and Operational Activities assists in the understanding of the shifting paradigm in the manufacturing sector towards smart manufacturing and spotlights these technologies and the effects they are having on existing industries. It showcases Industry 4. 0 as a promising research area in its infancy and offers insights into the role smart technologies are playing now and into the future. The book focuses on smart technologies’ rudiments implementation and integration for organizational development and offers insights on how to achieve resiliency through and because of these technologies. This book presents real-time implementation discussions along with case studies that emphasize benefits and operational activities for engineers and managers. It’s also a very useful book for technology developers academicians data scientists industrial engineers researchers and students interested in uncovering the latest innovations in a field that seeks current research on products and services. | Smart Manufacturing Technologies for Industry 4. 0 Integration Benefits and Operational Activities

GBP 74.99
1

Machine Learning for Sustainable Manufacturing in Industry 4.0 Concept Concerns and Applications

Machine Learning for Sustainable Manufacturing in Industry 4.0 Concept Concerns and Applications

The book focuses on the recent developments in the areas of error reduction resource optimization and revenue growth in sustainable manufacturing using machine learning. It presents the integration of smart technologies such as machine learning in the field of Industry 4. 0 for better quality products and efficient manufacturing methods. Focusses on machine learning applications in Industry 4. 0 ecosystem such as resource optimization data analysis and predictions. Highlights the importance of the explainable machine learning model in the manufacturing processes. Presents the integration of machine learning and big data analytics from an industry 4. 0 perspective. Discusses advanced computational techniques for sustainable manufacturing. Examines environmental impacts of operations and supply chain from an industry 4. 0 perspective. This book provides scientific and technological insight into sustainable manufacturing by covering a wide range of machine learning applications fault detection cyber-attack prediction and inventory management. It further discusses resource optimization using machine learning in industry 4. 0 and explainable machine learning models for industry 4. 0. It will serve as an ideal reference text for senior undergraduate graduate students and academic researchers in the fields including mechanical engineering manufacturing engineering production engineering aerospace engineering and computer engineering. | Machine Learning for Sustainable Manufacturing in Industry 4. 0 Concept Concerns and Applications

GBP 110.00
1

Thin Films Atomic Layer Deposition and 3D Printing Demystifying the Concepts and Their Relevance in Industry 4.0

Encyclopedia of Microcomputers Volume 6 - Electronic Dictionaries in Machine Translation to Evaluation of Software: Microsoft Word Version 4.0

Teacher Education and Professional Development In Industry 4.0 Proceedings of the 4th International Conference on Teacher Education and Prof