Machine Learning for Sustainable Manufacturing in Industry 4.0 PDF Download

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: 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: Rainer Stark
Publisher: Springer
ISBN: 3319485148
Category : Technology & Engineering
Languages : en
Pages : 286

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Book Description
This edited volume presents the research results of the Collaborative Research Center 1026 “Sustainable manufacturing - shaping global value creation”. The book aims at providing a reference guide of sustainable manufacturing for researchers, describing methodologies for development of sustainable manufacturing solutions. The volume is structured in four chapters covering the following topics: sustainable manufacturing technology, sustainable product development, sustainable value creation networks and systematic change towards sustainable manufacturing. The target audience comprises both researchers and practitioners in the field of sustainable manufacturing, but the book may also be beneficial for graduate students.

Author: K E K Vimal
Publisher: Springer Nature
ISBN: 9819948193
Category : Technology & Engineering
Languages : en
Pages : 194

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Book Description
This book brings forth the fundamental understanding of the role of Industry 4.0 technologies in sustainable manufacturing supply chain. Readers will get an overview of the challenges, opportunities, and requirements for the implementation of digital technologies and how they can support manufacturing supply chains to be sustainable. The book presents many applications of Industry 4.0 including integration of IoT, AI, Big Data, Blockchain, Procurement 4.0, Logistics 4.0, and Lean 4.0 in different contexts. The book therefore provides a platform for researchers, academicians, and professionals from diverse backgrounds to gain state-of-the-art knowledge for using Industry 4.0 in sustainable manufacturing supply chains. Readers will also be able to identify the practical significance and opportunities for future work directions.

Author: Sharvari Tamane
Publisher: Springer Nature
ISBN: 9464631368
Category : Computers
Languages : en
Pages : 1027

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Book Description
This is an open access book. As on date, huge volumes of data are being generated through sensors, satellites, and simulators. Modern research on data analytics and its applications reveal that several algorithms are being designed and developed to process these datasets, either through the use of sequential and parallel processes. In the current scenario of Industry 4.0, data analytics, artificial intelligence and machine learning are being used to support decisions in space and time. Further, the availability of Graphical Processing Units (GPUs) and Tensor Processing Units (TPUs) have enabled to processing of these datasets. Some of the applications of Artificial Intelligence, Machine Learning and Data Analytics are in the domains of Agriculture, Climate Change, Disaster Prediction, Automation in Manufacturing, Intelligent Transportation Systems, Health Care, Retail, Stock Market, Fashion Design, etc. The international conference on Applications of Machine Intelligence and Data Analytics aims to bring together faculty members, researchers, scientists, and industry people on a common platform to exchange ideas, algorithms, knowledge based on processing hardware and their respective application programming interfaces (APIs).

Author: Anjan Kumar Chatterjee
Publisher: CRC Press
ISBN: 1000475697
Category : Technology & Engineering
Languages : en
Pages : 511

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Book Description
This book captures the path of digital transformation that the cement enterprises are adopting progressively to elevate themselves to ‘Industry 4.0’ level. Digital innovations-based Internet of Things (IoT) and Artificial Intelligence (AI) are pertinent technologies for the cement enterprises as the manufacturing processes operate at very large scales with multiple inputs, outputs, and variables, resulting in the essentiality of big data management. Featuring contributions from cement industries worldwide, it covers various aspects of cement manufacturing from IoT, machine learning and data analytics perspective. It further discusses implementation of digital solutions in cement process and plants through case studies. Features: Present an up-to-date, consolidated view on modern cement manufacturing technology, applying new systems. Provides narration of complexity and variables in modern cement plants and processes. Discusses evolution of automation and computerization for the manufacturing processes. Covers application of ERP techniques to cement enterprises. Includes data-driven approaches for energy, environment, and quality management. This book aims at researchers and industry professionals involved in cement manufacturing, cement machinery and system suppliers, chemical engineering, process engineering, industrial engineering, and chemistry.

Author: Vimal K E K
Publisher: Springer Nature
ISBN: 9819948940
Category : Technology & Engineering
Languages : en
Pages : 206

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Book Description
This book covers topics related to implementation of advanced technologies, such as AI, big data, procurement 4.0, Logistics 4.0 and Lean 4.0, in Industry 4.0 for the manufacturing supply chain. Many applications of Industry 4.0 in the manufacturing supply chain have been presented. The content of this book is useful for students, researchers and professionals in order to implement Industry 4.0 in manufacturing supply chain.

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: Ajay Kumar
Publisher: CRC Press
ISBN: 1040096956
Category : Computers
Languages : en
Pages : 357

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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: J. Paulo Davim
Publisher: Springer
ISBN: 3319519611
Category : Technology & Engineering
Languages : en
Pages : 90

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Book Description
This book provides an overview on current sustainable machining. Its chapters cover the concept in economic, social and environmental dimensions. It provides the reader with proper ways to handle several pollutants produced during the machining process. The book is useful on both undergraduate and postgraduate levels and it is of interest to all those working with manufacturing and machining technology.