Industry 4 0 The Power Of Data

Author : Luis R. Izquierdo,José Ignacio Santos,Juan José Lavios,Virginia Ahedo
Publisher : Springer Nature
Page : 376 pages
File Size : 44,7 Mb
Release : 2023-07-07
Category : Technology & Engineering
ISBN : 9783031293825

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Industry 4.0: The Power of Data by Luis R. Izquierdo,José Ignacio Santos,Juan José Lavios,Virginia Ahedo Pdf

This book is a compilation of some of the best papers presented at the 15th International Conference on Industrial Engineering and Industrial Management in 2021. The Conference was promoted by ADINGOR (Asociación para el Desarrollo de la Ingeniería de Organización), organized by the University of Burgos, and it took place online on July 8 and 9, 2021. The book highlights some of the latest research advances and cutting-edge analyses of real-world case studies on industrial engineering and industrial management from a wide range of international contexts. It also identifies business applications and the latest findings and innovations in operations management and decision sciences. Industry 4.0: The Power of Data will help academic researchers and practitioners in industrial engineering and industrial management to keep abreast of state-of-the-art developments in these subjects.

Author : Klaus Schwab
Publisher : Currency
Page : 192 pages
File Size : 47,6 Mb
Release : 2017-01-03
Category : Business & Economics
ISBN : 9781524758875

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The Fourth Industrial Revolution by Klaus Schwab Pdf

World-renowned economist Klaus Schwab, Founder and Executive Chairman of the World Economic Forum, explains that we have an opportunity to shape the fourth industrial revolu­tion, which will fundamentally alter how we live and work. Schwab argues that this revolution is different in scale, scope and complexity from any that have come before. Characterized by a range of new technologies that are fusing the physical, digital and biological worlds, the developments are affecting all disciplines, economies, industries and governments, and even challenging ideas about what it means to be human. Artificial intelligence is already all around us, from supercomputers, drones and virtual assistants to 3D printing, DNA sequencing, smart thermostats, wear­able sensors and microchips smaller than a grain of sand. But this is just the beginning: nanomaterials 200 times stronger than steel and a million times thinner than a strand of hair and the first transplant of a 3D printed liver are already in development. Imagine “smart factories” in which global systems of manu­facturing are coordinated virtually, or implantable mobile phones made of biosynthetic materials. The fourth industrial revolution, says Schwab, is more significant, and its ramifications more profound, than in any prior period of human history. He outlines the key technologies driving this revolution and discusses the major impacts expected on government, business, civil society and individu­als. Schwab also offers bold ideas on how to harness these changes and shape a better future—one in which technology empowers people rather than replaces them; progress serves society rather than disrupts it; and in which innovators respect moral and ethical boundaries rather than cross them. We all have the opportunity to contribute to developing new frame­works that advance progress.

Author : P. Kaliraj,T. Devi
Publisher : CRC Press
Page : 446 pages
File Size : 46,9 Mb
Release : 2022-02-10
Category : Computers
ISBN : 9781000537666

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Big Data Applications in Industry 4.0 by P. Kaliraj,T. Devi Pdf

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

Author : Mahmoud Ragab AL-Refaey,Amit Kumar Tyagi,Abdullah Saad AL-Malaise AL-Ghamdi,Swetta Kukreja
Publisher : John Wiley & Sons
Page : 325 pages
File Size : 42,8 Mb
Release : 2024-03-28
Category : Computers
ISBN : 9781394216130

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Topics in Artificial Intelligence Applied to Industry 4.0 by Mahmoud Ragab AL-Refaey,Amit Kumar Tyagi,Abdullah Saad AL-Malaise AL-Ghamdi,Swetta Kukreja Pdf

Topics in Artificial Intelligence Applied to Industry 4.0 Forward thinking resource discussing emerging AI and IoT technologies and how they are applied to Industry 4.0 Topics in Artificial Intelligence Applied to Industry 4.0 discusses the design principles, technologies, and applications of emerging AI and IoT solutions on Industry 4.0, explaining how to make improvements in infrastructure through emerging technologies. Providing a clear connection with different technologies such as IoT, Big Data, AR and VR, and Blockchain, this book presents security, privacy, trust, and other issues whilst delving into real-world problems and case studies. The text takes a highly practical approach, with a clear insight on how readers can increase productivity by drastically shortening the time period between the development of a new product and its delivery to customers in the market by 50%. This book also discusses how to save energy across systems to ensure competitiveness in a global market, and become more responsive in how they produce products and services for their consumers, such as by investing in flexible production lines. Written by highly qualified authors, Topics in Artificial Intelligence Applied to Industry 4.0 explores sample topics such as: Quantum machine learning, neural network implementation, and cloud and data analytics for effective analysis of industrial data Computer vision, emerging networking technologies, industrial data spaces, and an industry vision for 2030 in both developing and developed nations Novel or improved nature-inspired optimization algorithms in enhancing Industry 5.0 and the connectivity of any components for smart environment Future professions in agriculture, medicine, education, fitness, R&D, and transport and communication as a result of new technologies Aimed at researchers and students in the interdisciplinary fields of Smart Manufacturing and Smart Applications, Topics in Artificial Intelligence Applied to Industry 4.0 provides the perfect overview of technology from the perspective of modern society and operational environment.

Author : Alp Ustundag,Emre Cevikcan
Publisher : Springer
Page : 286 pages
File Size : 46,7 Mb
Release : 2017-09-14
Category : Technology & Engineering
ISBN : 9783319578705

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Industry 4.0: Managing The Digital Transformation by Alp Ustundag,Emre Cevikcan Pdf

This book provides a comprehensive guide to Industry 4.0 applications, not only introducing implementation aspects but also proposing a conceptual framework with respect to the design principles. In addition, it discusses the effects of Industry 4.0, which are reflected in new business models and workforce transformation. The book then examines the key technological advances that form the pillars of Industry 4.0 and explores their potential technical and economic benefits using examples of real-world applications. The changing dynamics of global production, such as more complex and automated processes, high-level competitiveness and emerging technologies, have paved the way for a new generation of goods, products and services. Moreover, manufacturers are increasingly realizing the value of the data that their processes and products generate. Such trends are transforming manufacturing industry to the next generation, namely Industry 4.0, which is based on the integration of information and communication technologies and industrial technology.The book provides a conceptual framework and roadmap for decision-makers for this transformation

Author : Stanisław Kozielski,Dariusz Mrozek,Paweł Kasprowski,Bożena Małysiak-Mrozek,Daniel Kostrzewa
Publisher : Springer
Page : 372 pages
File Size : 48,9 Mb
Release : 2019-05-07
Category : Computers
ISBN : 9783030190934

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Beyond Databases, Architectures and Structures. Paving the Road to Smart Data Processing and Analysis by Stanisław Kozielski,Dariusz Mrozek,Paweł Kasprowski,Bożena Małysiak-Mrozek,Daniel Kostrzewa Pdf

This book constitutes the refereed proceedings of the 15th International Conference entitled Beyond Databases, Architectures and Structures, BDAS 2019, held in Ustroń, Poland, in May 2019. It consists of 26 carefully reviewed papers selected from 69 submissions. The papers are organized in topical sections, namely big data and cloud computing; architectures, structures and algorithms for efficient data processing and analysis; artificial intelligence, data mining and knowledge discovery; image analysis and multimedia mining; bioinformatics and biomedical data analysis; industrial applications; networks and security.

Author : Jong S. Lim
Publisher : CRC Press
Page : 409 pages
File Size : 53,6 Mb
Release : 2019-07-30
Category : Technology & Engineering
ISBN : 9781000458589

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Quality Management in Engineering by Jong S. Lim Pdf

This book introduces fundamental, advanced, and future-oriented scientific quality management methods for the engineering and manufacturing industries. It presents new knowledge and experiences in the manufacturing industry with real world case studies. It introduces Quality 4.0 with Industry 4.0, including quality engineering tools for software quality and offers lean quality management methods for lean manufacturing. It also bridges the gap between quality management and quality engineering, and offers a scientific methodology for problem solving and prevention. The methods, techniques, templates, and processes introduced in this book can be utilized in various areas in industry, from product engineering to manufacturing and shop floor management. This book will be of interest to manufacturing industry leaders and managers, who do not require in-depth engineering knowledge. It will also be helpful to engineers in design and suppliers in management and manufacturing, all who have daily concerns with project and quality management. Students in business and engineering programs may also find this book useful as they prepare for careers in the engineering and manufacturing industries. Presents new knowledge and experiences in the manufacturing industry with real world case studies Introduces quality engineering methods for software development Introduces Quality 4.0 with Industry 4.0 Offers lean quality management methods for lean manufacturing Bridges the gap between quality management methods and quality engineering Provides scientific methodology for product planning, problem solving and prevention management Includes forms, templates, and tools that can be used conveniently in the field

Author : Murugan Anandarajan,Teresa D. Harrison
Publisher : Springer
Page : 211 pages
File Size : 55,5 Mb
Release : 2018-09-27
Category : Business & Economics
ISBN : 9783319932996

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Aligning Business Strategies and Analytics by Murugan Anandarajan,Teresa D. Harrison Pdf

This book examines issues related to the alignment of business strategies and analytics. Vast amounts of data are being generated, collected, stored, processed, analyzed, distributed and used at an ever-increasing rate by organizations. Simultaneously, managers must rapidly and thoroughly understand the factors driving their business. Business Analytics is an interactive process of analyzing and exploring enterprise data to find valuable insights that can be exploited for competitive advantage. However, to gain this advantage, organizations need to create a sophisticated analytical climate within which strategic decisions are made. As a result, there is a growing awareness that alignment among business strategies, business structures, and analytics are critical to effectively develop and deploy techniques to enhance an organization’s decision-making capability. In the past, the relevance and usefulness of academic research in the area of alignment is often questioned by practitioners, but this book seeks to bridge this gap. Aligning Business Strategies and Analytics: Bridging Between Theory and Practice is comprised of twelve chapters, divided into three sections. The book begins by introducing business analytics and the current gap between academic training and the needs within the business community. Chapters 2 - 5 examines how the use of cognitive computing improves financial advice, how technology is accelerating the growth of the financial advising industry, explores the application of advanced analytics to various facets of the industry and provides the context for analytics in practice. Chapters 6 - 9 offers real-world examples of how project management professionals tackle big-data challenges, explores the application of agile methodologies, discusses the operational benefits that can be gained by implementing real-time, and a case study on human capital analytics. Chapters 10 - 11 reviews the opportunities and potential shortfall and highlights how new media marketing and analytics fostered new insights. Finally the book concludes with a look at how data and analytics are playing a revolutionary role in strategy development in the chemical industry.

Author : Sruthi S,Pawanjeet Kaur,Dr. Aarti Sharma,Debajani Nayak,Dr. Manoj Kumar Chande,Dr Sagarika Saha
Publisher : RED'SHINE Publication. Pvt. Ltd
Page : 301 pages
File Size : 54,7 Mb
Release : 2024-06-29
Category : Antiques & Collectibles
ISBN : 9789393239662

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CONTEMPORARY ISSUES IN MULTIDISCIPLINARY SUBJECTS: VOLUME-4 by Sruthi S,Pawanjeet Kaur,Dr. Aarti Sharma,Debajani Nayak,Dr. Manoj Kumar Chande,Dr Sagarika Saha Pdf

Author : Jun Zhao,Wei Wang,Chunyang Sheng
Publisher : Springer
Page : 443 pages
File Size : 47,9 Mb
Release : 2018-08-20
Category : Computers
ISBN : 9783319940519

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Data-Driven Prediction for Industrial Processes and Their Applications by Jun Zhao,Wei Wang,Chunyang Sheng Pdf

This book presents modeling methods and algorithms for data-driven prediction and forecasting of practical industrial process by employing machine learning and statistics methodologies. Related case studies, especially on energy systems in the steel industry are also addressed and analyzed. The case studies in this volume are entirely rooted in both classical data-driven prediction problems and industrial practice requirements. Detailed figures and tables demonstrate the effectiveness and generalization of the methods addressed, and the classifications of the addressed prediction problems come from practical industrial demands, rather than from academic categories. As such, readers will learn the corresponding approaches for resolving their industrial technical problems. Although the contents of this book and its case studies come from the steel industry, these techniques can be also used for other process industries. This book appeals to students, researchers, and professionals within the machine learning and data analysis and mining communities.

Author : Harriet B. Nembhard,Elizabeth A. Cudney,Katherine M. Coperich
Publisher : CRC Press
Page : 354 pages
File Size : 54,5 Mb
Release : 2019-06-13
Category : Technology & Engineering
ISBN : 9780429947711

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Emerging Frontiers in Industrial and Systems Engineering by Harriet B. Nembhard,Elizabeth A. Cudney,Katherine M. Coperich Pdf

Success is driven through collaboration. The field of Industrial and Systems Engineering has evolved as a major engineering field with interdisciplinary strength drawn from effective utilization, process improvement, optimization, design, and management of complex systems. It is a broad discipline that is important to nearly every attempt to solve problems facing the needs of society and the welfare of humanity. In order to carry this forward, successful collaborations are needed between industry, government, and academia. This book brings together an international group of distinguished practitioners and academics in manufacturing, healthcare, logistics, and energy sectors to examine what enables successful collaborations. The book is divided into two key parts: 1) partnerships, frameworks, and leadership; and 2) engineering applications and case studies. Part I highlights some of the ways partnerships emerge between those seeking to innovate and educate in industrial and systems engineering, some useful frameworks and methodologies, as well as some of the ideas and practices that undergird leadership in the profession. Part II provides case studies and applications to illustrate the power of the partnerships between academia and practice in industrial and systems engineering. Features Examines the success from multiple industries Provides frameworks for building teams and avoiding pitfalls Contains international perspectives of success Uses collaborative approaches from industry, government, and academia Includes real world case studies illustrating the enabling factors Offers engineering education and student-centric takeaways

Author : Shrey Sharma
Publisher : Orange Education Pvt Ltd
Page : 261 pages
File Size : 54,6 Mb
Release : 2024-03-06
Category : Computers
ISBN : 9788197081972

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Mastering IoT For Industrial Environments by Shrey Sharma Pdf

Powering Industrial Growth with IoT Innovations. KEY FEATURES ● Unlock the potential of IoT across industries while honing your skills to design and build IoT devices. ● Dive into architectural frameworks, enriched with real-world examples, to navigate IoT complexities and implement effective solutions for tangible results. ● Gain insights into emerging trends shaping the future of IoT and Industry 4.0. DESCRIPTION Embark on a journey through the transformative landscape of IoT with this comprehensive guide, “Mastering IoT For Industrial Environments”. From its inception in the Industrial Revolution to its pivotal role in Industry 4.0, each chapter provides a deep dive into essential concepts. It will explore IoT architecture, microcontrollers, communication protocols, and interfacing protocols. Delve into MQTT, the protocol for IoT, and machine-to-machine communication. Discover the transition to ESP-IDF and the future of IoT in Industry 4.0. This book provides readers with practical insights into implementing IoT solutions within industrial contexts. Through a meticulously curated array of case studies and real-world applications, readers gain invaluable perspectives on the prevailing IoT trends shaping industrial landscapes. Spanning from intelligent factories and predictive maintenance to supply chain optimization and energy management, the book addresses a spectrum of topics reflective of contemporary industrial challenges and opportunities. WHAT WILL YOU LEARN ● Gain a comprehensive understanding of Industry 4.0, delving into its historical context and core principles, with a focus on its technological cornerstone, IoT. ● Explore the layered architecture of IoT, covering perception, network, cloud, and application layers. ● Dive into the functionalities and applications of microcontrollers in IoT projects, particularly Arduino and ESP microcontrollers for beginners. ● Understand the IoT product development framework and the significance of machine-to-machine communication in the IoT ecosystem across various domains. ● Comprehend the diverse communication protocols used in IoT systems, analyzing their strengths, weaknesses, and practical applications. WHO IS THIS BOOK FOR? This book is tailored for engineers and professionals within industrial sectors looking to grasp and execute IoT solutions effectively. It also caters to students, academics delving into IoT studies, and individuals keen on staying abreast of the latest trends in Industry 4.0. TABLE OF CONTENTS 1. Industrial Revolution with IoT 2. The Architecture of IoT 3. Microcontrollers – The Brain Behind IoT Devices 4. Communication Protocols in IoT 5. Introduction to Interfacing Protocols 6. MQTT – The Protocol for Internet of Things 7. Machine-to-Machine Communication 8. Shifting to ESP-IDF 9. IoT in Industry 4.0 Index

Author : Patrick Bangert
Publisher : Elsevier
Page : 276 pages
File Size : 52,7 Mb
Release : 2021-01-14
Category : Technology & Engineering
ISBN : 9780128226001

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Machine Learning and Data Science in the Power Generation Industry by Patrick Bangert Pdf

Machine Learning and Data Science in the Power Generation Industry explores current best practices and quantifies the value-add in developing data-oriented computational programs in the power industry, with a particular focus on thoughtfully chosen real-world case studies. It provides a set of realistic pathways for organizations seeking to develop machine learning methods, with a discussion on data selection and curation as well as organizational implementation in terms of staffing and continuing operationalization. It articulates a body of case study–driven best practices, including renewable energy sources, the smart grid, and the finances around spot markets, and forecasting. Provides best practices on how to design and set up ML projects in power systems, including all nontechnological aspects necessary to be successful Explores implementation pathways, explaining key ML algorithms and approaches as well as the choices that must be made, how to make them, what outcomes may be expected, and how the data must be prepared for them Determines the specific data needs for the collection, processing, and operationalization of data within machine learning algorithms for power systems Accompanied by numerous supporting real-world case studies, providing practical evidence of both best practices and potential pitfalls

Author : Gurinder Singh,Richa Goel,Vikas Garg
Publisher : Springer Nature
Page : 320 pages
File Size : 40,6 Mb
Release : 2023-03-01
Category : Business & Economics
ISBN : 9789811978807

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Industry 4.0 and the Digital Transformation of International Business by Gurinder Singh,Richa Goel,Vikas Garg Pdf

The book throws light on the ongoing trends in international business, integration of information technology with global businesses, its role in value co-creation, resource integration, and service for service exchange. While discussing the issues of these areas, chapters of this book also delve into prevalent problematic areas which are closely related like employment, ethical aspects, power creation, and so on. Recognizing the role digitization and new technologies play in enabling global managers to communicate with outside world directly via digital channels irrespective of their location (which is especially true in time of COVID-19), the book takes an emerging economy perspective and throws light on new theories, perceptions, employment opportunities, and innovative ideas through its content. The book not only discusses effects of information technology but also the latest emerging technology in global business like use of artificial intelligence, robotics, machine learning, big data, and their integration with the global business 4.0. Since emergence of these new technologies requires proper infrastructural development, the book also throws light on government initiatives and CSR in this respect. It contains takeaways for both undergraduate and graduate students, researchers and academicians, industry watchers, practitioners, start-ups, and entrepreneurs

Author : Mohan Subramaniam
Publisher : MIT Press
Page : 314 pages
File Size : 44,5 Mb
Release : 2022-08-16
Category : Business & Economics
ISBN : 9780262046992

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The Future of Competitive Strategy by Mohan Subramaniam Pdf

How legacy firms can combine their traditional strengths with the power of data and digital ecosystems to forge a new competitive strategy for the digital era. How can legacy firms remain relevant in the digital era? In The Future of Competitive Strategy, strategic management expert Mohan Subramaniam explains how firms can leverage both their traditional strengths and the modern-day power of data and digital ecosystems to forge a new competitive strategy. Drawing on the experiences of a range of companies, including Caterpillar, Sleep Number, and Whirlpool, he explains how firms can benefit from data’s enlarged role in modern business, develop digital ecosystems tailored to their unique business needs, and use new frameworks to harness the power of data for competitive advantage. Subramaniam presents digital ecosystems as a combination of production and consumption ecosystems, which can be used by legacy firms to unlock the value of data at various levels—from improving operational efficiencies to creating new data-driven services and transforming traditional products into digital platforms. He explores the ways sensors and the Internet of Things provide new kinds of customer data; presents the concept of digital competitors—other firms that have access to similar data; discusses the new digital capabilities that firms need to develop; and addresses privacy and security issues associated with data sharing. Who needs this book? Any firm that wants to revitalize traditional business models, offer a richer customer experience, and expand its competitive arena into new digital ecosystems.