› › Innovation And Competitiveness In Industry 4 0 Based On Intelligent Systems

Innovation and Competitiveness in Industry 4.0 Based on Intelligent Systems

Author : Luis Carlos Méndez-González

Publisher : Springer Nature

Page : 338 pages

File Size : 10,65 MB

Release : 2023-06-16

Category : Technology & Engineering

ISBN : 303129775X

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Book Description

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.



Technological and Industrial Applications Associated With Industry 4.0

Author : Alberto Ochoa-Zezzatti

Publisher : Springer Nature

Page : 340 pages

File Size : 31,70 MB

Release : 2021-07-01

Category : Technology & Engineering

ISBN : 3030686639

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Book Description

This book includes chapters related to the analysis of cultural differences as a tool to enrich tacit knowledge and make processes more efficient, the factors that influence job satisfaction and the value of social capital as a competitive strategy to achieve productivity and competitiveness of organizations, in addition to research of the utmost importance to discover the facets of the diamond with respect to the symbolic capital of the organizations where Generation Z will work and how it will discover the best time to establish an innovation ecosystem that will influence its work trajectory. Industry 4.0 requires a major paradigm shift, since human capital is a source of competitive advantage. Being competitive enables to a company, a region, a society or a country the power to advance in different areas, contributing to the benefit of a social group, therefore, and organizations need to make efforts that lead to adding value and generate a competitive advantage. Industrial applications based on artificial intelligence can change our lives in just one generation. The chapters in this book show progress and challenges related to real-world applications, as well as the need to strengthen human capital to achieve systemic and comprehensive competitiveness required in the XXI century.



Intelligent Engineering and Management for Industry 4.0

Author : Yong-Hong Kuo

Publisher : Springer Nature

Page : 186 pages

File Size : 19,73 MB

Release : 2022-06-17

Category : Business & Economics

ISBN : 3030946835

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Book Description

Industry 4.0 is changing how we manage operations to drive systems more intelligently. Technologies and applications are rapidly evolving. Disruptive technologies, such as artificial intelligence, big data, cloud computing and digital twin, are shaking up different industries and have motivated us to revisit engineering and management tools for improving system design, efficiency, effectiveness, reliability, and responsiveness. While these emerging technologies have powered new applications, novel industrial engineering methodologies are required to achieve the goals. Industrial Engineering was sprouted from major engineering disciplines that called for better professional understanding of industrialization. Ever since, the discipline of Industrial Engineering has been the star role player in confronting emerging industries; be it manufacturing, service, high tech products, outer space technology, information technology, industrial policy, ergonomics, and now the world’s greatest concern, sustainable development. This book presents the state-of-the-art in industrial engineering research from different countries and cities around the globe. The book covers a wide range of topics in industrial engineering, including: Demand Chain Management, E-business / Information Technology, Evolutionary Algorithm, Green Manufacturing/Management, Health Care Systems and more.



Artificial Intelligence in Industry 4.0

Author : Alexiei Dingli

Publisher : Springer Nature

Page : 248 pages

File Size : 21,97 MB

Release : 2021-02-27

Category : Technology & Engineering

ISBN : 3030610454

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Book Description

This book is intended to help management and other interested parties such as engineers, to understand the state of the art when it comes to the intersection between AI and Industry 4.0 and get them to realise the huge possibilities which can be unleashed by the intersection of these two fields. We have heard a lot about Industry 4.0, but most of the time, it focuses mainly on automation. In this book, the authors are going a step further by exploring advanced applications of Artificial Intelligence (AI) techniques, ranging from the use of deep learning algorithms in order to make predictions, up to an implementation of a full-blown Digital Triplet system. The scope of the book is to showcase what is currently brewing in the labs with the hope of migrating these technologies towards the factory floors. Chairpersons and CEOs must read these papers if they want to stay at the forefront of the game, ahead of their competition, while also saving huge sums of money in the process.



Topics in Artificial Intelligence Applied to Industry 4.0

Author : Mahmoud Ragab AL-Refaey

Publisher : John Wiley & Sons

Page : 325 pages

File Size : 38,99 MB

Release : 2024-07-15

Category : Computers

ISBN : 1394216114

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Book Description

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.



Artificial Intelligence and Industry 4.0

Author : Aboul Ella Hassanien

Publisher : Academic Press

Page : 264 pages

File Size : 34,48 MB

Release : 2022-08-14

Category : Technology & Engineering

ISBN : 0323906397

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Book Description

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. Explores artificial intelligence applications within the industrial manufacturing and communications sectors Presents a wide range of machine learning, computer vision, and digital twin applications across the IoT sector Explores how deep learning and cognitive computing tools enable processing vast data sets, precise and comprehensive forecast of risks, and delivering recommended actions



Responsible Industry 4.0

Author : David Mhlanga

Publisher : Taylor & Francis

Page : 283 pages

File Size : 50,30 MB

Release : 2023-11-13

Category : Business & Economics

ISBN : 1000994406

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Book Description

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.



Smart Technology Trends in Industrial and Business Management

Author : Dagmar Cagáňová

Publisher : Springer

Page : 500 pages

File Size : 49,4 MB

Release : 2019-02-15

Category : Technology & Engineering

ISBN : 3319769987

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Book Description

This book presents current developments in smart city research and application regarding the management of manufacturing systems, Industry 4.0, transportation, and business management. It suggests approaches to incorporating smart city innovations into manufacturing systems, with an eye towards competitiveness in a global environment. The same pro-innovative approach is then applied to business and cooperation management. The authors also present smart city transportation solutions including vehicle data processing/reporting system, mobile application for fleet managers, bus drivers, bus passengers and special applications for smart city buses like passenger counting system, IP cameras, GPS system etc. The goal of the book is to establish channels of communication and disseminate knowledge among researchers and professionals working on smart city research and application. Features contributions on a variety of topics related to smart cities from global researchers and professionals in a wide range of sectors; Presents topics relating to smart cities such as manufacturing, business, and transportation; Includes expanded selected papers from EAI International Conference on Management of Manufacturing Systems (MMS 2016), EAI Industry of Things and Future Technologies Conference – Mobility IoT 2016 and International Conference on Smart Electric Vehicles and Vehicular Ad-hoc NETworks (SEVNET).



Implementing Industry 4.0

Author : Carlos Toro

Publisher : Springer Nature

Page : 418 pages

File Size : 36,28 MB

Release : 2021-04-03

Category : Technology & Engineering

ISBN : 3030672700

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Book Description

This book relates research being implemented in three main research areas: secure connectivity and intelligent systems, real-time analytics and manufacturing knowledge and virtual manufacturing. Manufacturing SMEs and MNCs want to see how Industry 4.0 is implemented. On the other hand, groundbreaking research on this topic is constantly growing. For the aforesaid reason, the Singapore Agency for Science, Technology and Research (A*STAR), has created the model factory initiative. In the model factory, manufacturers, technology providers and the broader industry can (i) learn how I4.0 technologies are implemented on real-world manufacturing use-cases, (ii) test process improvements enabled by such technologies at the model factory facility, without disrupting their own operations, (iii) co-develop technology solutions and (iv) support the adoption of solutions at their everyday industrial operation. The book constitutes a clear base ground not only for inspiration of researchers, but also for companies who will want to adopt smart manufacturing approaches coming from Industry 4.0 in their pathway to digitization.



Artificial Intelligence in Industry 4.0 and 5G Technology

Author : Pandian Vasant

Publisher : John Wiley & Sons

Page : 356 pages

File Size : 24,17 MB

Release : 2022-07-20

Category : Computers

ISBN : 1119798760

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Book Description

Artificial Intelligence in Industry 4.0 and 5G Technology Explores innovative and value-added solutions for application problems in the commercial, business, and industry sectors As the pace of Artificial Intelligence (AI) technology innovation continues to accelerate, identifying the appropriate AI capabilities to embed in key decision processes has never been more critical to establishing competitive advantage. New and emerging analytics tools and technologies can be configured to optimize business value, change how an organization gains insights, and significantly improve the decision-making process across the enterprise. Artificial Intelligence in Industry 4.0 and 5G Technology helps readers solve real-world technological engineering optimization problems using evolutionary and swarm intelligence, mathematical programming, multi-objective optimization, and other cutting-edge intelligent optimization methods. Contributions from leading experts in the field present original research on both the theoretical and practical aspects of implementing new AI techniques in a variety of sectors, including Big Data analytics, smart manufacturing, renewable energy, smart cities, robotics, and the Internet of Things (IoT). Presents detailed information on meta-heuristic applications with a focus on technology and engineering sectors such as smart manufacturing, smart production, innovative cities, and 5G networks. Offers insights into the use of metaheuristic strategies to solve optimization problems in business, economics, finance, and industry where uncertainty is a factor. Provides guidance on implementing metaheuristics in different applications and hybrid technological systems. Describes various AI approaches utilizing hybrid meta-heuristics optimization algorithms, including meta-search engines for innovative research and hyper-heuristics algorithms for performance measurement. Artificial Intelligence in Industry 4.0 and 5G Technology is a valuable resource for IT specialists, industry professionals, managers and executives, researchers, scientists, engineers, and advanced students an up-to-date reference to innovative computing, uncertainty management, and optimization approaches.