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Author: Raman Kumar
Publisher: CRC Press
ISBN: 1000986195
Category : Technology & Engineering
Languages : en
Pages : 250
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Book Description
The book focuses on the recent developments in the areas of error reduction, resource optimization, and revenue growth in sustainable manufacturing using machine learning. It presents the integration of smart technologies such as machine learning in the field of Industry 4.0 for better quality products and efficient manufacturing methods. Focusses on machine learning applications in Industry 4.0 ecosystem, such as resource optimization, data analysis, and predictions. Highlights the importance of the explainable machine learning model in the manufacturing processes. Presents the integration of machine learning and big data analytics from an industry 4.0 perspective. Discusses advanced computational techniques for sustainable manufacturing. Examines environmental impacts of operations and supply chain from an industry 4.0 perspective. This book provides scientific and technological insight into sustainable manufacturing by covering a wide range of machine learning applications fault detection, cyber-attack prediction, and inventory management. It further discusses resource optimization using machine learning in industry 4.0, and explainable machine learning models for industry 4.0. It will serve as an ideal reference text for senior undergraduate, graduate students, and academic researchers in the fields including mechanical engineering, manufacturing engineering, production engineering, aerospace engineering, and computer engineering.
Author: Raman Kumar
Publisher: CRC Press
ISBN: 1000986195
Category : Technology & Engineering
Languages : en
Pages : 250
Get Book Here
Book Description
The book focuses on the recent developments in the areas of error reduction, resource optimization, and revenue growth in sustainable manufacturing using machine learning. It presents the integration of smart technologies such as machine learning in the field of Industry 4.0 for better quality products and efficient manufacturing methods. Focusses on machine learning applications in Industry 4.0 ecosystem, such as resource optimization, data analysis, and predictions. Highlights the importance of the explainable machine learning model in the manufacturing processes. Presents the integration of machine learning and big data analytics from an industry 4.0 perspective. Discusses advanced computational techniques for sustainable manufacturing. Examines environmental impacts of operations and supply chain from an industry 4.0 perspective. This book provides scientific and technological insight into sustainable manufacturing by covering a wide range of machine learning applications fault detection, cyber-attack prediction, and inventory management. It further discusses resource optimization using machine learning in industry 4.0, and explainable machine learning models for industry 4.0. It will serve as an ideal reference text for senior undergraduate, graduate students, and academic researchers in the fields including mechanical engineering, manufacturing engineering, production engineering, aerospace engineering, and computer engineering.
Author: K. Jayakrishna
Publisher: CRC Press
ISBN: 0429881207
Category : Business & Economics
Languages : en
Pages : 281
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Book Description
Industry 4.0 promises tremendous opportunities for industries to go green by leveraging virtual physical systems and internet driven technologies for a competitive advantage and set the platform for the factory of the future and smart manufacturing. The book provides measures that can be adopted by practicing design engineers, to develop products that will be sustainable in all stages of its life cycle. It helps organizations in implementation of sustainable manufacturing practices and formulation of critical strategies in their transition towards Industry 4.0., and the book will provide insights on ways of deploying these practices in correlation with the environmental benefits mapped to support the practicing managers and stakeholders. Features Assists in the understanding of the shifting paradigm in manufacturing sector towards smart and sustainable practices Showcases contemporary technologies and their insurgence in existing industries Focuses on need, applications, and implementation framework for Industry 4.0 Encapsulates all that one has to learn about sustainability and its transformation in Industry 4.0 Real time case studies are presented
Author: Hamed Gholami
Publisher: Springer Nature
ISBN: 9811972184
Category : Technology & Engineering
Languages : en
Pages : 218
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Book Description
This book gives an overview of the latest technologies in the Industry 4.0, using smart and autonomous systems driven by data and machine learning, to develop a sustainable approach to manufacturing. It includes the implementation of smart technological approaches in different manufacturing processes such as laser welding, additive manufacturing, equipment maintenance and inspection, automotive manufacturing, poultry processing, supply chain management, value stream mapping and development. This book caters to research experts and practitioners who are keen to realize the benefits of industry 4.0 to transform the manufacturing sector into a more sustainable-based state.
Author: Vijaya Kumar Manupati
Publisher: CRC Press
ISBN: 1000622142
Category : Technology & Engineering
Languages : en
Pages : 265
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Book Description
The current perspectives of smart and sustainable manufacturing systems hold important implications for current practices and understanding these concepts for further implications. This comprehensive reference text discusses both centralized and decentralized production systems, using variety of new cutting-edge approaches to solve the problem. The text covers simulation-based approaches including social network-based approaches, discrete event-based approaches, and knowledge based for smart and sustainable systems. It further covers mathematical models such as single-objective, multi-objective, and many-objective. The text discusses important topics including energy efficiency, transportation constrains for efficient and effective production, meta-heuristic and hybrid algorithms, and real-time monitoring and analysis for smart and sustainable production. This book- • Presents approaches to improve the objectives of sustain-ability and smart production systems. • Discusses Internet of Things (IoT) and Industrial Internet of Things (IIoT) concepts and its implementation for production systems. • Covers social network analysis method in distributed manufacturing systems. • Examines reckoning prognostics and diagnostics to monitor the health of the systems in perspective of distributed manufacturing. • Discusses aspects of Industry 4.0 in specific production systems. The text will be useful for graduate students and professional in the fields of mechanical engineering, production engineering, industrial engineering, and manufacturing.
Author: Ajay Kumar
Publisher: CRC Press
ISBN: 1040096956
Category : Computers
Languages : en
Pages : 376
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Book Description
Intelligent and sustainable manufacturing is a broad category of manufacturing that employs computer-integrated manufacturing, high levels of adaptability and rapid design changes, digital information technology, and more flexible technical workforce training. Other goals sometimes include fast changes in production levels based on demand, optimization of the production system, efficient production, and recyclability. This handbook provides compiled knowledge of intelligent and sustainable manufacturing within the context of Industry 4.0. along with tools, principles, and strategies. Handbook of Intelligent and Sustainable Manufacturing: Tools, Principles, and Strategies offers recent developments, future outlooks, and advanced and analytical modeling techniques of intelligent and sustainable manufacturing with examples backed up by experimental and numerical data. It bridges the gap between R&D in intelligent and sustainable manufacturing–related fields and presents case studies and solutions alongside social and green environmental impact. The handbook includes a wide range of advanced tools and applications with modeling results and explains how different internet technologies integrate the manufacturing approach with people, products, and complex systems. By encompassing advanced technologies such as digital twins, big data informatics, artificial intelligence, nature-inspired algorithms, IoT, Industry 4.0, simulation approaches, analytical strategies, quality tools, roots and pillars, diagnostic tools, and methodical strategies, this handbook provides the most up-to-date and advanced information source available. This handbook will help industries and organizations to implement intelligent manufacturing and move towards the sustainability of manufacturing practices. It will also serve as a reference for senior graduate-level courses in mechanical, production, industrial, and aerospace engineering and a value-added asset to libraries of all technical institutions.
Author: Chandan Deep Singh
Publisher: John Wiley & Sons
ISBN: 1119865190
Category : Technology & Engineering
Languages : en
Pages : 308
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Book Description
FACTORIES OF THE FUTURE The book provides insight into various technologies adopted and to be adopted in the future by industries and measures the impact of these technologies on manufacturing performance and their sustainability. Businesses and manufacturers face a slew of demands beyond the usual issues of staying agile and surviving in a competitive landscape within a rapidly changing world. Factories of the Future deftly takes the reader through the continuous technology changes and looks ten years down the road at what manufacturing will mostly look like. The book is divided into two parts: Emerging technologies and advancements in existing technologies. Emerging technologies consist of Industry 4.0 and 5.0 themes, machine learning, intelligent machining, advanced maintenance, reliability, and green manufacturing. The advances of existing technologies consist of digital manufacturing, artificial intelligence in machine learning, Internet of Things, product life cycle, and the impact of factories on the future of manufacturing performance of the manufacturing industries. Readers will find in this illuminating book: A comprehensive discussion of almost all emerging technologies, including “green” manufacturing; An overview of the social, economic, and technical aspects of these technologies; An explanation of these technological advancements on manufacturing performance, through case studies and other analytical tools.
Author: Anca Draghici
Publisher: Springer Nature
ISBN: 9811673659
Category : Technology & Engineering
Languages : en
Pages : 301
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Book Description
This book informs and educates readers about sustainable development management, approaches and applications in manufacturing processes and presents the trends to the next economic and social paradigm: the Industry 5.0 and Society 5.0. Educational aspects, case studies from various companies, together with the analysis and synthesis of the literature and empirical experiences, define the content of the eleven chapters. Thus, this material could be considered as a starting point and foundation for researchers and practitioners interested in the present state and the evolution of the manufacturing systems. The book offers various points of view regarding the actual digital transformation of the manufacturing system.
Author: Arturo Molina
Publisher: Springer Nature
ISBN: 3030655474
Category : Technology & Engineering
Languages : en
Pages : 394
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Book Description
This book introduces the concept of sensing, smart and sustainable systems (S3 systems) to support the design and redesign of products, services, business and manufacturing processes, manufacturing systems, and enterprises. The concept of S3 systems theory is introduced and explained in detail to support designers and engineers in their development task. This approach is embraced in the implementation of emergent Information and communication technologies and artificial intelligence techniques. The text helps the reader to understand the relationship between intelligent manufacturing, S3 systems and Industry 4.0. It presents a review of current approaches to design and development of technology-based products. Finally, it enlarges on the sensing, smart and sustainable systems theory to give examples of S3 systems as case studies.
Author: Singh, Sujit
Publisher: IGI Global
ISBN:
Category : Technology & Engineering
Languages : en
Pages : 322
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Book Description
In the manufacturing industry, a major concern persists—the historical entanglement of this sector with environmental issues. Climate change and resource depletion cast a shadow over traditional practices, demanding a paradigm shift. As our planet grapples with these challenges, the imperative for sustainable manufacturing practices becomes undeniable. Futuristic Technology for Sustainable Manufacturing addresses the environmental conundrums tied to manufacturing. This groundbreaking book delves into transformative technologies such as artificial intelligence, renewable energy integration, innovative materials, and the Internet of Things. By providing a profound analysis of these futuristic solutions, the book aims to guide academic scholars towards a comprehensive understanding of how these technologies can usher in a greener, more sustainable era in manufacturing. The urgent need for sustainable manufacturing practices is palpable, and this book rises to the occasion by providing a nuanced analysis of how these revolutionary technologies can propel the industry towards a greener future. From the role of artificial intelligence in smart manufacturing to sustainable materials applications, the book not only illuminates the current state of affairs but also sparks inspiration for a new generation of researchers, engineers, and entrepreneurs. As a persuasive call to action, the book empowers its readership to contribute actively to the ongoing transformation, fostering a resilient, ecologically responsible future where technology and sustainability harmonize.
Author: Rityuj Singh Parihar
Publisher: CRC Press
ISBN: 1040041434
Category : Business & Economics
Languages : en
Pages : 197
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Book Description
With the introduction of Industry 4.0 in manufacturing industries, the paradigm shift from conventional to green manufacturing is quite evident. Manufacturing industries achieving sustainability objectives is now the prime concern. This paradigm creates more efficient products using green processes and practices (i.e., those that produce minimal environment hazardous waste). This book provides an overview of the broad field of research on green manufacturing with a focus on the Fourth Industrial Revolution to encourage interest in the topic. It includes the dissemination of original findings on Industry 4.0 pathways and practices applied to green manufacturing development, as well as the contribution of new perspectives and roadmaps to those eager to realize the benefits of Industry 4.0 to transform the manufacturing sector into a more environment-friendly state. This book shows how the innovations of Industry 4.0 work together to improve society, save lives, create efficiencies, and ultimately achieve the objectives of sustainability. To develop a smart green manufacturing technology, it is important to understand the prerequisites, technological developments, and technological aspects that conceptually describe this transformation. This understanding should also include practices, models, and real-world experiences. At the same time, the goal is to comprehend how Industry 4.0 technologies and smart products could result in environmental, economic, and social benefits. Essentially, the goal of this book is to provide the fundamentals of the cutting-edge smart technology-driven production maneuver known as Industry 4.0, primarily to determine and validate its potential as a practice that promotes green manufacturing to ultimately revolutionize the competitiveness of businesses and regions.
