Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Manufacturing industries --- Industry 4.0. --- Management. --- Fourth industrial revolution --- Industrial engineering --- Industrial revolution

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

This book provides the interplay between digital transformation, industry 4.0 technologies, and sustainable supply chain performance. The book mainly focuses on presenting case studies and empirical studies demonstrating how the industry 4.0 technologies interact with the conventional manufacturing practices such as lean manufacturing, circular economy practices, total quality management, and maintenance management, while achieving enhanced sustainable supply chain performance. The book guides the practitioners to consider the status of conventional supply chains in their organisations while designing industry 4.0 systems. This book is a useful resource for researchers and academicians to understand the interplay between existing technologies, industry 4.0 technologies, and sustainable performance in the digital transformation journey. Presents the interplay between industry 4.0 technologies and conventional manufacturing practices such as lean manufacturing, circular practices, and total quality management; Offers various perspectives on how industry 4.0 leads to digital transformation of manufacturing organizations to achieve sustainable supply chain performance; Provides practice-oriented material, case studies, and empirical data.

Business logistics --- Industry 4.0. --- Technological innovations. --- Fourth industrial revolution --- Industrial engineering --- Industrial revolution --- Supply chain management --- Industrial management --- Logistics

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Digital Twin for Smart Manufacturing: Emerging Approaches and Applications provides detailed descriptions on how to integrate and optimize novel digital technologies for smart manufacturing. The book discusses digital twins, which combine the industrial internet of things, artificial intelligence, machine learning and software analytics with spatial network graphs to create living digital simulation models that update and change as their physical counterparts change. In addition, they provide an effective way to integrate technologies like cyber-physical systems into a smart manufacturing system, potentially optimizing the entire business process and operating procedure of the manufacturing firm. Drawing on the latest research, the book addresses the topics and technologies key to successful implementation of a smart manufacturing system, including augmented and virtual reality, big data and energy management. Broader subjects such as additive manufacturing and robotics are also covered in this context, covering every aspect of production.

Industry 4.0. --- Small business --- Technological innovations --- Fourth industrial revolution --- Industrial engineering --- Industrial revolution --- Technological innovations. --- Digital twins (Computer simulation) --- Manufacturing processes --- Industrial applications.

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

"Within the era of the Fourth Industrial Revolution, we are living in a technologically advanced society, and students and teacher educators need to be adequately prepared to succeed within this progressive society. Teaching and Learning for the 21st Century: Embracing the Fourth Industrial Revolution is an edited volume that situates teaching and learning for the 21st century within diverse contexts globally so that teacher educators could make sense of their professional knowledge, curriculum, classroom contexts and diverse students. This book intends to frame and explore the different responsive and innovative pedagogies that are used for embracing the Fourth Industrial Revolution. Additionally, it aims to clarify some key concepts (for example blended learning, coding, digital, E-Learning, Internet, M-Learning, simulation and tools) in addition to other issues that surround teaching and learning for the 21st century. The book also exemplifies authentic case studies located within global contexts focusing on: the 21st-century curriculum, the 21st-century classroom environment, teachers in the 21st century and students in the 21st century. Contributors from around the world (Australia, Indonesia, Mauritius, South Africa, Tanzania and the United States of America) share their innovations in education by interrogating research experiences and examples of good practice"--

Education --- Educational technology --- Industry 4.0 --- Teaching --- Fourth industrial revolution --- Industrial engineering --- Industrial revolution --- Instructional technology --- Technology in education --- Technology --- Educational innovations --- Instructional systems --- Technological innovations --- Aims and objectives of education --- Educational aims and objectives --- Educational goals --- Educational objectives --- Educational purposes --- Goals, Educational --- Instructional objectives --- Objectives, Educational --- Purposes, Educational --- Educational sociology --- Aims and objectives --- Effect of technological innovations on --- Methodology --- Aids and devices

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Artificial Intelligence and Industry 4.0 explores recent advancements in blockchain technology and artificial intelligence (AI) as well as their crucial impacts on realizing Industry 4.0 goals. The book explores AI applications in industry including Internet of Things (IoT) and Industrial Internet of Things (IIoT) technology. Chapters explore how AI (machine learning, smart cities, healthcare, Society 5.0, etc.) have numerous potential applications in the Industry 4.0 era. This book is a useful resource for researchers and graduate students in computer science researching and developing AI and the IIoT.

Industry 4.0. --- Artificial intelligence --- Industrial applications. --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Electronic data processing --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Fourth industrial revolution --- Industrial engineering --- Industrial revolution --- Medicine --- Artificial Intelligence --- Medical Informatics Computing --- Industry --- Data processing. --- Artificial Intelligence. --- Medical Informatics Computing. --- Industry.