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'This book is for readers who want to improve their understanding of industry 5, including the state of the art of real-world applications in industry 5.0, highlighting the impact and the risks of countermeasure of industry 4 has on human life that leads to industry 5'--

Although additive manufacturing (AM), also known as 3D printing, has been around for almost 40 years, few people know how it actually works and the huge impact and benefits it offers. This book explains what AM is, using business theories to explain and illustrate why AM is increasingly being used across industries. The book translates complex engineering technology into relevant managerial terminology, using real-world examples from industries such as apparel, construction and transportation. It provides an introduction into the technical background of AM before expanding on the applications, opportunities and challenges to business models. Offering a unique managerial perspective, this book is aimed primarily at a scholarly audience and those researching across business disciplines, including technology management, manufacturing, production and operations management. It can also be used in emerging business courses on AM.

Industry 4.0 is the latest technological innovation in manufacturing with the goal to increase productivity in a flexible and efficient manner. Changing the way in which manufacturers operate, this revolutionary transformation is powered by various technology advances including Big Data analytics, Internet of Things (IoT), Artificial Intelligence (AI), and cloud computing. Big Data analytics has been identified as one of the significant components of Industry 4.0, as it provides valuable insights for smart factory management. Big Data and Industry 4.0 have the potential to reduce resource consumption and optimize processes, thereby playing a key role in achieving sustainable development. Big Data Applications in Industry 4.0 covers the recent advancements that have emerged in the field of Big Data and its applications. The book introduces the concepts and advanced tools and technologies for representing and processing Big Data. It also covers applications of Big Data in such domains as financial services, education, healthcare, biomedical research, logistics, and warehouse management. Researchers, students, scientists, engineers, and statisticians can turn to this book to learn about concepts, technologies, and applications that solve real-world problems. Features An introduction to data science and the types of data analytics methods accessible today An overview of data integration concepts, methodologies, and solutions A general framework of forecasting principles and applications, as well as basic forecasting models including naïve, moving average, and exponential smoothing models A detailed roadmap of the Big Data evolution and its related technological transformation in computing, along with a brief description of related terminologies The application of Industry 4.0 and Big Data in the field of education The features, prospects, and significant role of Big Data in the banking industry, as well as various use cases of Big Data in banking, finance services, and insurance Implementing a Data Lake (DL) in the cloud and the significance of a data lake in decision making

Health management is one of the megatrends of our time. Healthy to its needs several factors. One factor is human well-being in general and, in particular, well-being in production-technical working environments. That is the focus of this investigation. For this purpose, an analysis of the current situation was created, which makes the topic applicable to other industries and areas. In this book, well-being is understood as the heading for a puzzle picture, with each researched or empirically found feel-good factor representing a piece of the puzzle. With the assembled puzzle picture, you are then able to create individual puzzle pictures for each industry.

This book introduces intelligent manufacturing system planning, design, and implementation, through the deep integration of the Internet, big data, artificial intelligence, and manufacturing process, to promote the transformation and upgrading of enterprises. This book shows the implementation of intelligent manufacturing process with 12 benchmarking enterprises, discusses the planning, implementation, and control of intelligent manufacturing system technology and method of theory, and analyzes the five hierarchies of intelligent manufacturing system, the five stages of life cycle, and five kinds of intelligent depth. The content can cultivate the reader's vocational ability to develop intelligent solutions and implementation based on complex, uncertain environment needs. This book will be interesting and useful to a wide readership in the various fields of management, information science, and engineering science.

This book focuses on the impact of artificial intelligence (AI) and machine learning (ML) models on supply chain operations in industry 4.0. The chapters illustrate the AI and ML models for all functional areas of operations in SCM. The book also includes examples using ML models like handling supply-to-demand imbalances, triggering automated responses, and reinforcing customer relationships. It describes the evolution of blockchain technology coupled with the ability to automate business logic for the transparency of goods, infrastructure, products, and licenses in software. The book also includes case studies that provide a problem statement and industry overcome by applying ML and AI technologies. This book is suitable for undergraduates, postgraduates, industrial professionals, business executives, entrepreneurs, and freelancers to encourage practical learning on AI and ML algorithms in SCM 4.0. Additionally, this book will provide computer science and information system professionals with the latest technologies embedded in the corporate world.

The book offers a multidisciplinary investigation into the economic, technological, environmental, and social impacts of Industry 4.0 technology that ensures inclusive and sustainable growth development of regions and countries. Along with identifying new opportunities that new technology provides for inclusive growth, the book aims to propose theoretical substantiation and develop economic, institutional, organizational, and information mechanisms that aid to reduce and eliminate the potential economic, social, and environmental risks. A broad multidisciplinary approach integrating research capabilities of economic and administrative sciences, artificial intelligence and computer sciences, pedagogy and linguistics, latest findings in the above mentioned scientific areas, as well as empirical evidence and pilot innovative research projects conducted by the contributors, allowed them to draw conclusions and develop recommendations for achieving inclusive growth in industrial and agricultural production, innovation and investment activities, management and environment protection, healthcare and education associated with the use of new technology. The contributors hope that empirical materials, innovative developments, and suggestions inspire scientific research, encourage applied studies, and supplement training programs in economic, administrative, social, and computer sciences at the advanced universities and research institutions, in the post-Soviet territory, in particular.

This book examines the burgeoning revolution in the construction industry known as Construction 4.0, the attendant need for re-skilling human resources, and key stakeholders'roles in developing the required skills for Construction 4.0. It views the lack of 21st-century skills and skills gap in the industry as significant challenges limiting the uptake and implementation of Construction 4.0 technologies, especially in developing countries. In order to determine the skills required, this book examines the critical technologies of Construction 4.0, such as building information modelling (BIM), robotic construction, 3D printing and drones, which have transformed the construction industry, thereby creating digital, intelligent and sustainable construction solutions. Furthermore, the book considers the benefits, risks and relevant skills required to implement Construction 4.0 technologies.

This book captures deploying Industry 4.0 technologies for business excellence and moving towards Society 5.0. It addresses applications of Industry 4.0 in the areas of marketing, operations, supply chain, finance, and HR to achieve business excellence. Industry 4.0 Technologies for Business Excellence: Frameworks, Practices, and Applications focuses on the use of AI in management across different sectors. It explores the benefits through a human-centered approach to resolving social problems by integrating cyberspace and physical space. It discusses the framework for moving towards Society 5.0 and keeping a balance between economic and social gains. This book brings together researchers, developers, practitioners, and users interested in exploring new ideas, techniques, and tools and exchanging their experiences to provide the most recent information on Industry 4.0 applications in the field of business excellence. Graduate or postgraduate students, professionals, and researchers in the fields of operations management, manufacturing, healthcare, supply chain, marketing, finance, and HR will find this book full of new ideas, techniques, and tools related to Industry 4.0.

All over the world, vast research is in progress on the domain of Industry 4.0 and related techniques. Industry 4.0 is expected to have a very high impact on labor markets, global value chains, education, health, environment, and many social economic aspects.Industry 4.0 Interoperability, Analytics, Security, and Case Studies provides a deeper understanding of the drivers and enablers of Industry 4.0. It includes real case studies of various applications related to different fields, such as cyber physical systems (CPS), Internet of Things (IoT), cloud computing, machine learning, virtualization, decentralization, blockchain, fog computing, and many other related areas. Also discussed are interoperability, design, and implementation challenges.Researchers, academicians, and those working in industry around the globe will find this book of interest.FEATURES Provides an understanding of the drivers and enablers of Industry 4.0 Includes real case studies of various applications for different fields Discusses technologies such as cyber physical systems (CPS), Internet of Things (IoT), cloud computing, machine learning, virtualization, decentralization, blockchain, fog computing, and many other related areas Covers design, implementation challenges, and interoperability Offers detailed knowledge on Industry 4.0 and its underlying technologies, research challenges, solutions, and case studies

Industry 4.0 (i4.0) can unleash new business models or develop essential insights for a better decision-making process. It includes technologies like the Internet of Things (IoT), AI, cloud computing, machine learning, robotics, 5G, and Big Data Analytics (BDA). The imperative of i4.0 can enhance value creation and value capture at the same time with unmatched efficiency. This book explores how entrepreneurs can balance entrepreneurial exploration and exploitation in i4.0. The analytics world is moving beyond the descriptive to predictive, and in the future, it will be more prescriptive enabled by AI, machine learning, expert systems, and 5G. Thus, the future of entrepreneurial exploration and exploitation depends on how information is used to develop insights and to make intelligent, smart, and fact-based decisions to take actions that may have real-time correction mechanisms. As such, i4.0 has implications for students, managers, researchers, policymakers, and politicians alike. This book is a must-read for all.

This book helps the reader to identify how different organizations in the context of diverse societies deploy their resources and leverage their capabilities to achieve better performance of its various labor skills, marketing, social responsibility and management capacity. Intelligent Logistics is a complex phenomenon that has become critical for companies to reach their development locally and internationally. On the one hand, macro-factors and market structure influence in business competitiveness, but also in a regional or sector context. The internal aspects and the use of various business tools contribute to the ability to create value in an organization. It is of utmost importance to understand the relevance of crucial aspects in the technological future that should be known and implemented by the Z generation of its incidence in the use of organizational models linked to artificial intelligence. Every innovative aspect in the use of new technologies for the distribution of goods and services will be crucial in a globalized world. An avant-garde society will require improved decision-making regarding Logistics 4.0 and its implementation in our lives respecting the environment and being sustainable together with invaluable principles of generating tacit knowledge for future generations.

Industrie 4.0 ist weit mehr als ein buzzword mit schwieriger Semantik. Diese Begrifflichkeit umschreibt eine revolutionäre Bewegung, deren vielfältige Facetten nahezu alle Bereiche unseres Denkens und Handelns erfassen. Um diesem Charakteristikum gerecht zu werden, verbindet dieser interdisziplinäre Sammelband die technische Evolution des Zeitalters der Digitalisierung mit einer ganzzeitlichen Betrachtung. Zielsetzung dieses Buches ist, nicht nur die typischerweise mit dem Begriff „Industrie 4.0“ assoziierten Prozesse offenzulegen, sondern auch deren Auswirkungen auf Bereiche zu schildern, die auf den ersten Blick nicht damit in Verbindung stehen und dadurch eine nachhaltige Analyse zu ermöglichen. Dieser Ansatz fußt auf der multidisziplinären Perspektive von „Zwischen den Welten“, das sich als Kommunikationsplattform für den Austausch verschiedener Fachkulturen zu einer Thematik versteht.