Technology Innovation Pillars for Industry 4.0: Challenges, Improvements, and Case Studies discusses the latest innovations in the application of technologies to Industry 4.0 and the nine pillars and how they relate, support, and bridge the gap between the digital and physical worlds we now live in. This book discusses each of the nine pillars and the roles they play in the rapid transformation of the design and operation, and offers applications and case studies supporting Industry 4.0 technologies. It presents the supply chain organizational activities utilizing cyber- physical systems architectures and talks about the advantages of intelligent manufacturing and the ability to proactively detect and respond to events, to improve quality and yield, reduce downtime, and lead to better overall equipment effectiveness among other advantages in smart factory operations. This reference book provides a great resource for undergraduate and graduate students, industrial and manufacturing engineers, and engineers of related disciplines along with business professionals, explaining what the nine pillars are and how they relate to Industry 4.0 and smart factories.

The growth of digital technologies and Artificial Intelligence (AI) has the potential to increase global wealth and tackle some of the world's most serious problems, including economic marginalization. In contrast, these innovations may contribute to widening economic gaps and potentially threaten the stability of democratic governments. Changes in economic growth and distribution are occurring in both developed and developing countries due to the impact that new technologies are having on businesses and the workplace. This book provides answers to the question of whether the technologies of the Fourth Industrial Revolution, such as Artificial Intelligence, will lead to greater economic uncertainty, environmental collapse, and social unrest or whether they will help achieve shared prosperity and sustainable development, and successively the Sustainable Development Goals (SDGs). The book focuses on Human-centered Artificial Intelligence (AI) and the responsible deployment of diverse technologies for achieving sustainable development. It examines why the human-centred approach is so crucial to long-term success. It underlines the definition of human-centred AI and its importance in creating sustainability and resilience. It starts with a comprehensive history of the Fourth Industrial Revolution, details how to produce artificial intelligence that is centred on humans in order to accomplish sustainable development in the era of the Fourth Industrial Revolution, and then goes on to discuss the need for proper management and governance of emerging technologies. The book ends by presenting a framework that will assist stakeholders in employing AI in a human-centred manner to achieve the sustainable development goals set for 2030. The book will appeal to scholars, academics and researchers interested in information linked to the SDGs, AI and industry 4.0.

1. Covers latest concepts in intelligent analytics for industry 4.0. 2. Presents the applications of intelligent analytics for various industry 4.0 domains. 3. Covers latest research topics in the field. 4. Written in a comprehensive and simple manner. 5. The text is accompanied by tables and illustrative figures for better understanding of the topic.

Industry 4.0 refers to fourth generation of industrial activity characterized by smart systems and internet-based solutions. This book describes the fourth revolution based on instrumented, interconnected and intelligent assets. The different book chapters provide a perspective on technologies and methodologies developed and deployed leading to this concept. With an aim to increase performance, productivity and flexibility, major application area of maintenance through smart system has been discussed in detail. Applicability of 4.0 in transportation, energy and infrastructure is explored, with effects on technology, organisation and operations from a systems perspective.

This book presents a series of applications of different techniques found in Industry 4.0 with relation to productivity, continuous improvement, quality, decision systems, software development, and automation systems. The techniques used throughout this book allow the reader to replicate the results obtained towards different types of companies that wish to undertake in the new era of the digital industrial revolution. This book can also help students from different areas of engineering to understand how the use of new technologies is applied to solve current relevant problems and how they give the possibility of constant innovation in the different industrial sectors. This is accomplished through the analysis of illustrative case studies, descriptive methodologies and structured insights that are provided through the different considered techniques.

This book covers a variety of topics in the field of mechanical engineering, with a special focus on methods and technologies for modeling, simulation, and design of mechanical systems. Based on a set of papers presented at the 2nd International Conference “Innovation in Engineering”, ICIE, held in Minho, Portugal, on June 28–30, 2022, it focuses on innovation in mechanical engineering, spanning from advanced materials and composites, optimization of manufacturing and production processes, and converging issues and technologies in additive manufacturing and industry 4.0. It covers applications in the transport and automotive, and medical and education sector, among others. This book, which belongs to a three-volume set, provides engineering researchers and professionals with extensive and timely information on new technologies and developments in the field of mechanical engineering and materials.

In the rapidly evolving landscape of Industry 5.0, integrating emotional intelligence into the industrial framework is becoming increasingly crucial. Organizations are trying to navigate this uncharted territory and seeking guidance on understanding, implementing, and ethically managing artificial emotional intelligence (AEI). However, the absence of a comprehensive resource addressing these complexities has left a significant void in academic scholarship and industrial practice. Human-Machine Collaboration and Emotional Intelligence in Industry 5.0 offers a holistic exploration of emotion recognition, affective computing, and human-robot interaction. It equips readers with the knowledge and tools to successfully integrate AEI into Industry 5.0, ensuring a harmonious collaboration between humans and machines. This book is a go-to resource for scholars, industry professionals, and decision-makers seeking to leverage emotional intelligence in the Fifth Industrial Revolution by addressing practical implementations, ethical considerations, and real-world impacts.

Utilizing Industry 4.0 technologies is essential to meet consumer expectations of personalized products and services but not without obstacles and challenges. This book provides comprehensive knowledge on the operating conditions and challenges of small- and medium-sized enterprises operating in the era of Industry 4.0 and proposes a Business Model 4.0 concept. The authors provide insights on the general conditions for the development of Economy 4.0 and Society 5.0, the expectations of modern consumers in product personalization, customization, servitization and the SME sector's requirements. In addition, the book offers a business model of cooperation between enterprises and the concept of rapid network prototyping methodology for the implementation of personalized products. It proposes the creation of e-business platforms that will allow for better integration of the customer with the manufacturer and the possibility of greater involvement in product configurations. The empirical research offered in this book will provide valuable insights for scholars and upper-level students across business disciplines, including strategic management, entrepreneurship, technology and innovation management.

An edited volume on factors determining success or failure of energy technology innovation, for researchers and policy makers.

This book offers a basic and practical guide for a manager, quality practitioner, or anyone interested in learning and understanding the fundamental principles, concepts, tools, and techniques of quality management and process improvement. This book enables managers to have a strong foundation for effective management and improvement of operations. It strengthens quality practitioners’ approach to people, products, or services and process improvement, to influence without authority. It provides practitioners with a comprehensive understanding of the contemporary concepts of quality, guiding principles, and quality tools and techniques and on successfully implementing them. It helps enhance how practitioners perform their work and inspires them to strive for excellence. The book begins with an introduction and an overview of quality, followed by listing and explaining the selected 77 pillars (basic principles, concepts, and tools) of quality, grouped under the themes of quality, Six Sigma, and Lean Management. It examines the logical understanding of these pillars and how to implement them, providing practical examples and beneficial real case studies. The stories are based on the learning and practical experience of the author—a certified Lean Six Sigma Master Black Belt, a quality manager, and a university lecturer. This book benefits employees, partners, and customers of any organization, offering a great reference for practitioners and academics alike. It serves as a call to reflect on basic quality pillars first, before embarking on a quality improvement journey. It provides a solid foundation for managers and practitioners to exceed their customers’ expectations and excel in managing their business operations.