Data Driven Smart Manufacturing Technologies And Applications

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Data Driven Smart Manufacturing Technologies and Applications

Author : Weidong Li
Publisher : Springer Nature
ISBN 13 : 3030668495
Total Pages : 218 pages
Book Rating : 4.0/5 (36 download)

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Book Synopsis Data Driven Smart Manufacturing Technologies and Applications by : Weidong Li

Download or read book Data Driven Smart Manufacturing Technologies and Applications written by Weidong Li and published by Springer Nature. This book was released on 2021-02-20 with total page 218 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book reports innovative deep learning and big data analytics technologies for smart manufacturing applications. In this book, theoretical foundations, as well as the state-of-the-art and practical implementations for the relevant technologies, are covered. This book details the relevant applied research conducted by the authors in some important manufacturing applications, including intelligent prognosis on manufacturing processes, sustainable manufacturing and human-robot cooperation. Industrial case studies included in this book illustrate the design details of the algorithms and methodologies for the applications, in a bid to provide useful references to readers. Smart manufacturing aims to take advantage of advanced information and artificial intelligent technologies to enable flexibility in physical manufacturing processes to address increasingly dynamic markets. In recent years, the development of innovative deep learning and big data analytics algorithms is dramatic. Meanwhile, the algorithms and technologies have been widely applied to facilitate various manufacturing applications. It is essential to make a timely update on this subject considering its importance and rapid progress. This book offers a valuable resource for researchers in the smart manufacturing communities, as well as practicing engineers and decision makers in industry and all those interested in smart manufacturing and Industry 4.0.

Digital Twin Driven Smart Manufacturing

Author : Fei Tao
Publisher : Academic Press
ISBN 13 : 0128176318
Total Pages : 282 pages
Book Rating : 4.1/5 (281 download)

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Book Synopsis Digital Twin Driven Smart Manufacturing by : Fei Tao

Download or read book Digital Twin Driven Smart Manufacturing written by Fei Tao and published by Academic Press. This book was released on 2019-02-07 with total page 282 pages. Available in PDF, EPUB and Kindle. Book excerpt: Digital Twin Driven Smart Manufacturing examines the background, latest research, and application models for digital twin technology, and shows how it can be central to a smart manufacturing process. The interest in digital twin in manufacturing is driven by a need for excellent product reliability, and an overall trend towards intelligent, and connected manufacturing systems. This book provides an ideal entry point to this subject for readers in industry and academia, as it answers the questions: (a) What is a digital twin? (b) How to construct a digital twin? (c) How to use a digital twin to improve manufacturing efficiency? (d) What are the essential activities in the implementation of a digital twin? (e) What are the most important obstacles to overcome for the successful deployment of a digital twin? (f) What are the relations between digital twin and New Technologies? (g) How to combine digital twin with the New Technologies to achieve high efficiency and smartness in manufacturing? This book focuses on these problems as it aims to help readers make the best use of digital twin technology towards smart manufacturing. Analyzes the differences, synergies and possibilities for integration between digital twin technology and other technologies, such as big data, service and Internet of Things Discuss new requirements for a traditional three-dimension digital twin and proposes a methodology for a five-dimension version Investigates new models for optimized manufacturing, prognostics and health management, and cyber-physical fusion based on the digital twin

Big Data Analytics in Smart Manufacturing

Author : P Suresh
Publisher : CRC Press
ISBN 13 : 1000815749
Total Pages : 205 pages
Book Rating : 4.0/5 (8 download)

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Book Synopsis Big Data Analytics in Smart Manufacturing by : P Suresh

Download or read book Big Data Analytics in Smart Manufacturing written by P Suresh and published by CRC Press. This book was released on 2022-12-14 with total page 205 pages. Available in PDF, EPUB and Kindle. Book excerpt: The significant objective of this edited book is to bridge the gap between smart manufacturing and big data by exploring the challenges and limitations. Companies employ big data technology in the manufacturing field to acquire data about the products. Manufacturing companies could gain a deep business insight by tracking customer details, monitoring fuel consumption, detecting product defects, and supply chain management. Moreover, the convergence of smart manufacturing and big data analytics currently suffers due to data privacy concern, short of qualified personnel, inadequate investment, long-term storage management of high-quality data. The technological advancement makes the data storage more accessible, cheaper and the convergence of these technologies seems to be more promising in the recent era. This book identified the innovative challenges in the industrial domains by integrating heterogeneous data sources such as structured data, semi-structures data, geo-spatial data, textual information, multimedia data, social networking data, etc. It promotes data-driven business modelling processes by adopting big data technologies in the manufacturing industry. Big data analytics is emerging as a promising discipline in the manufacturing industry to build the rigid industrial data platforms. Moreover, big data facilitates process automation in the complete lifecycle of product design and tracking. This book is an essential guide and reference since it synthesizes interdisciplinary theoretical concepts, definitions, and models, involved in smart manufacturing domain. It also provides real-world scenarios and applications, making it accessible to a wider interdisciplinary audience. Features The readers will get an overview about the smart manufacturing system which enables optimized manufacturing processes and benefits the users by increasing overall profit The researchers will get insight about how the big data technology leverages in finding new associations, factors and patterns through data stream observations in real time smart manufacturing systems The industrialist can get an overview about the detection of defects in design, rapid response to market, innovative products to meet the customer requirement which can benefit their per capita income in better way Discusses technical viewpoints, concepts, theories, and underlying assumptions that are used in smart manufacturing Information delivered in a user-friendly manner for students, researchers, industrial experts, and business innovators, as well as for professionals and practitioners

Smart Manufacturing

Author : Masoud Soroush
Publisher : Elsevier
ISBN 13 : 0128203811
Total Pages : 530 pages
Book Rating : 4.1/5 (282 download)

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Book Synopsis Smart Manufacturing by : Masoud Soroush

Download or read book Smart Manufacturing written by Masoud Soroush and published by Elsevier. This book was released on 2020-08-04 with total page 530 pages. Available in PDF, EPUB and Kindle. Book excerpt: Research efforts in the past decade have led to considerable advances in the concepts and methods of smart manufacturing. Smart Manufacturing: Applications and Case Studies includes information about the key applications of these new methods, as well as practitioners’ accounts of real-life applications and case studies. Written by thought leaders in the field from around the world, Smart Manufacturing: Applications and Case Studies is essential reading for graduate students, researchers, process engineers and managers. It is complemented by a companion book titled Smart Manufacturing: Concepts and Methods, which describes smart manufacturing methods in detail. Includes examples of applications of smart manufacturing in process industries Provides a thorough overview of the subject and practical examples of applications through well researched case studies Offers insights and accounts of first-hand experiences to motivate further implementations of the key concepts of smart manufacturing

Smart Manufacturing

Author : Masoud Soroush
Publisher : Elsevier
ISBN 13 : 0128203803
Total Pages : 428 pages
Book Rating : 4.1/5 (282 download)

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Book Synopsis Smart Manufacturing by : Masoud Soroush

Download or read book Smart Manufacturing written by Masoud Soroush and published by Elsevier. This book was released on 2020-08-04 with total page 428 pages. Available in PDF, EPUB and Kindle. Book excerpt: Research efforts in the past ten years have led to considerable advances in the concepts and methods of smart manufacturing. Smart Manufacturing: Concepts and Methods puts these advances in perspective, showing how process industries can benefit from these new techniques. The book consolidates results developed by leading academic and industrial groups in the area, providing a systematic, comprehensive coverage of conceptual and methodological advances made to date. Written by leaders in the field from around the world, Smart Manufacturing: Concepts and Methods is essential reading for graduate students, researchers, process engineers, and managers. It is complemented by a companion book titled Smart Manufacturing: Applications and Case Studies, which covers the applications of smart manufacturing concepts and methods in process industries and beyond. Takes a process-systems engineering approach to design, monitoring, and control of smart manufacturing systems Brings together the key concepts and methods of smart manufacturing, including the advances made in the past decade Includes coverage of computation methods for process optimization, control, and safety, as well as advanced modelling techniques

Data-Driven Engineering Design

Author : Ang Liu
Publisher : Springer Nature
ISBN 13 : 3030881814
Total Pages : 203 pages
Book Rating : 4.0/5 (38 download)

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Book Synopsis Data-Driven Engineering Design by : Ang Liu

Download or read book Data-Driven Engineering Design written by Ang Liu and published by Springer Nature. This book was released on 2021-10-09 with total page 203 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book addresses the emerging paradigm of data-driven engineering design. In the big-data era, data is becoming a strategic asset for global manufacturers. This book shows how the power of data can be leveraged to drive the engineering design process, in particular, the early-stage design. Based on novel combinations of standing design methodology and the emerging data science, the book presents a collection of theoretically sound and practically viable design frameworks, which are intended to address a variety of critical design activities including conceptual design, complexity management, smart customization, smart product design, product service integration, and so forth. In addition, it includes a number of detailed case studies to showcase the application of data-driven engineering design. The book concludes with a set of promising research questions that warrant further investigation. Given its scope, the book will appeal to a broad readership, including postgraduate students, researchers, lecturers, and practitioners in the field of engineering design.

Digital Twin Driven Smart Design

Author : Fei Tao
Publisher : Academic Press
ISBN 13 : 0128189185
Total Pages : 358 pages
Book Rating : 4.1/5 (281 download)

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Book Synopsis Digital Twin Driven Smart Design by : Fei Tao

Download or read book Digital Twin Driven Smart Design written by Fei Tao and published by Academic Press. This book was released on 2020-05-22 with total page 358 pages. Available in PDF, EPUB and Kindle. Book excerpt: Digital Twin Driven Smart Design draws on the latest industry practice and research to establish a basis for the implementation of digital twin technology in product design. Coverage of relevant design theory and methodology is followed by detailed discussions of key enabling technologies that are supported by cutting-edge case studies of implementation. This groundbreaking book explores how digital twin technology can bring improvements to different kinds of product design process, including functional, lean and green. Drawing on the work of researchers at the forefront of this technology, this book is the ideal guide for anyone interested in digital manufacturing or computer-aided design. Provides detailed case studies that explore key applications of digital twin technology in design practice Introduces the concept of using digital twins to create the virtual commissioning of design projects Presents a framework to help engineers incorporate digital twins into their product design process

Technologies and Applications for Big Data Value

Author : Edward Curry
Publisher : Springer Nature
ISBN 13 : 3030783073
Total Pages : 555 pages
Book Rating : 4.0/5 (37 download)

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Book Synopsis Technologies and Applications for Big Data Value by : Edward Curry

Download or read book Technologies and Applications for Big Data Value written by Edward Curry and published by Springer Nature. This book was released on 2022 with total page 555 pages. Available in PDF, EPUB and Kindle. Book excerpt: This open access book explores cutting-edge solutions and best practices for big data and data-driven AI applications for the data-driven economy. It provides the reader with a basis for understanding how technical issues can be overcome to offer real-world solutions to major industrial areas. The book starts with an introductory chapter that provides an overview of the book by positioning the following chapters in terms of their contributions to technology frameworks which are key elements of the Big Data Value Public-Private Partnership and the upcoming Partnership on AI, Data and Robotics. The remainder of the book is then arranged in two parts. The first part "Technologies and Methods" contains horizontal contributions of technologies and methods that enable data value chains to be applied in any sector. The second part "Processes and Applications" details experience reports and lessons from using big data and data-driven approaches in processes and applications. Its chapters are co-authored with industry experts and cover domains including health, law, finance, retail, manufacturing, mobility, and smart cities. Contributions emanate from the Big Data Value Public-Private Partnership and the Big Data Value Association, which have acted as the European data community's nucleus to bring together businesses with leading researchers to harness the value of data to benefit society, business, science, and industry. The book is of interest to two primary audiences, first, undergraduate and postgraduate students and researchers in various fields, including big data, data science, data engineering, and machine learning and AI. Second, practitioners and industry experts engaged in data-driven systems, software design and deployment projects who are interested in employing these advanced methods to address real-world problems.

Digital Twin for Smart Manufacturing

Author : Rajesh Kumar Dhanaraj
Publisher : Elsevier
ISBN 13 : 0323958400
Total Pages : 319 pages
Book Rating : 4.3/5 (239 download)

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Book Synopsis Digital Twin for Smart Manufacturing by : Rajesh Kumar Dhanaraj

Download or read book Digital Twin for Smart Manufacturing written by Rajesh Kumar Dhanaraj and published by Elsevier. This book was released on 2023-08-26 with total page 319 pages. Available in PDF, EPUB and Kindle. Book excerpt: Digital Twin for Smart Manufacturing: Emerging Approaches and Applications provides detailed descriptions on how to integrate and optimize novel digital technologies for smart manufacturing. The book discusses digital twins, which combine the industrial internet of things, artificial intelligence, machine learning and software analytics with spatial network graphs to create living digital simulation models that update and change as their physical counterparts change. In addition, they provide an effective way to integrate technologies like cyber-physical systems into a smart manufacturing system, potentially optimizing the entire business process and operating procedure of the manufacturing firm. Drawing on the latest research, the book addresses the topics and technologies key to successful implementation of a smart manufacturing system, including augmented and virtual reality, big data and energy management. Broader subjects such as additive manufacturing and robotics are also covered in this context, covering every aspect of production. Includes detailed case studies that show how digital twins have been successfully implemented Shows how digital twins can be used to improve sustainability through superior energy usage management Outlines potential future uses of the digital twin, thus pointing the way for future research directions

Data-Driven Mining, Learning and Analytics for Secured Smart Cities

Author : Chinmay Chakraborty
Publisher : Springer Nature
ISBN 13 : 3030721396
Total Pages : 383 pages
Book Rating : 4.0/5 (37 download)

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Book Synopsis Data-Driven Mining, Learning and Analytics for Secured Smart Cities by : Chinmay Chakraborty

Download or read book Data-Driven Mining, Learning and Analytics for Secured Smart Cities written by Chinmay Chakraborty and published by Springer Nature. This book was released on 2021-04-28 with total page 383 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides information on data-driven infrastructure design, analytical approaches, and technological solutions with case studies for smart cities. This book aims to attract works on multidisciplinary research spanning across the computer science and engineering, environmental studies, services, urban planning and development, social sciences and industrial engineering on technologies, case studies, novel approaches, and visionary ideas related to data-driven innovative solutions and big data-powered applications to cope with the real world challenges for building smart cities.

Industry 4.0, Smart Manufacturing, and Industrial Engineering

Author : Amit Kumar Tyagi
Publisher : CRC Press
ISBN 13 : 1040116906
Total Pages : 389 pages
Book Rating : 4.0/5 (41 download)

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Book Synopsis Industry 4.0, Smart Manufacturing, and Industrial Engineering by : Amit Kumar Tyagi

Download or read book Industry 4.0, Smart Manufacturing, and Industrial Engineering written by Amit Kumar Tyagi and published by CRC Press. This book was released on 2024-09-16 with total page 389 pages. Available in PDF, EPUB and Kindle. Book excerpt: Industry 4.0 is a revolutionary concept that aims to enhance productivity and profitability in various industries through the implementation of smart manufacturing techniques. This book discusses the profound impact of Industry 4.0, which involves the seamless integration of digital technologies into manufacturing processes within the realm of industrial engineering. Industry 4.0, Smart Manufacturing, and Industrial Engineering: Challenges and Opportunities thoroughly examines the intricate facets of Industry 4.0 and Smart Manufacturing, offering a comprehensive overview of the challenges and opportunities that this paradigm shift presents to industrial engineers. It provides practical insights and strategies to help professionals navigate the complexities of this evolving landscape. Fundamental components of Industry 4.0 and Smart Manufacturing, ranging from the incorporation of sensors and data analytics to the deployment of cyber-physical systems and the promotion of sustainable practices are covered in detail. The book addresses the obstacles and prospects brought about by Industry 4.0 in the digital age and offers solutions to issues such as data security, interoperability, and workforce preparedness. The book sheds light on how Industry 4.0 combines various disciplines, including engineering technology, data science, and management. It serves as a valuable resource for researchers, undergraduate and postgraduate students, as well as professionals operating in the field of industrial engineering and related domains.

Smart Manufacturing Technologies for Industry 4.0

Author : Jayakrishna Kandasamy
Publisher : CRC Press
ISBN 13 : 100082148X
Total Pages : 129 pages
Book Rating : 4.0/5 (8 download)

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Book Synopsis Smart Manufacturing Technologies for Industry 4.0 by : Jayakrishna Kandasamy

Download or read book Smart Manufacturing Technologies for Industry 4.0 written by Jayakrishna Kandasamy and published by CRC Press. This book was released on 2022-12-27 with total page 129 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book addresses issues related to the integration of digital evolutionary technologies and provides solutions to various challenges encountered during the implementation process. With real-time case studies, the book explains the smart technologies available and their operational applications and benefits in the manufacturing sector. Smart Manufacturing Technologies for Industry 4.0: Integration, Benefits, and Operational Activities assists in the understanding of the shifting paradigm in the manufacturing sector towards smart manufacturing and spotlights these technologies and the effects they are having on existing industries. It showcases Industry 4.0 as a promising research area in its infancy and offers insights into the role smart technologies are playing now and into the future. The book focuses on smart technologies’ rudiments, implementation, and integration for organizational development and offers insights on how to achieve resiliency through and because of these technologies. This book presents real-time implementation discussions along with case studies that emphasize benefits and operational activities for engineers and managers. It’s also a very useful book for technology developers, academicians, data scientists, industrial engineers, researchers, and students interested in uncovering the latest innovations in a field that seeks current research on products and services.

AI-Driven Digital Twin and Industry 4.0

Author : Sita Rani
Publisher : CRC Press
ISBN 13 : 1040041132
Total Pages : 339 pages
Book Rating : 4.0/5 (4 download)

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Book Synopsis AI-Driven Digital Twin and Industry 4.0 by : Sita Rani

Download or read book AI-Driven Digital Twin and Industry 4.0 written by Sita Rani and published by CRC Press. This book was released on 2024-06-19 with total page 339 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the role of AI-Driven Digital Twin in the Industry 4.0 ecosystem by focusing on Smart Manufacturing, sustainable development, and many other applications. It also discusses different case studies and presents an in-depth understanding of the benefits and limitations of using AI and Digital Twin for industrial developments. AI-Driven Digital Twin and Industry 4.0: A Conceptual Framework with Applications introduces the role of Digital Twin in Smart Manufacturing and focuses on the Digital Twin framework throughout. It provides a summary of the various AI applications in the Industry 4.0 environment and emphasizes the role of advanced computational and communication technologies. The book offers demonstrative examples of AI-Driven Digital Twin in various application domains and includes AI techniques used to analyze the environmental impact of industrial operations along with examples. The book reviews the major challenges in the deployment of AI-Driven Digital Twin in the Industry 4.0 ecosystem and presents an understanding of how AI is used in the designing of Digital Twin for various applications. The book also enables familiarity with various industrial applications of computational and communication technologies and summarizes the ongoing research and innovations in the areas of AI, Digital Twin, and Smart Manufacturing while also tracking the various research challenges along with future advances. This reference book is a must-read and is very beneficial to students, researchers, academicians, industry experts, and professionals working in related fields.

Multimodal and Tensor Data Analytics for Industrial Systems Improvement

Author : Nathan Gaw
Publisher : Springer Nature
ISBN 13 : 3031530926
Total Pages : 388 pages
Book Rating : 4.0/5 (315 download)

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Book Synopsis Multimodal and Tensor Data Analytics for Industrial Systems Improvement by : Nathan Gaw

Download or read book Multimodal and Tensor Data Analytics for Industrial Systems Improvement written by Nathan Gaw and published by Springer Nature. This book was released on with total page 388 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Data Science for Nano Image Analysis

Author : Chiwoo Park
Publisher : Springer Nature
ISBN 13 : 3030728226
Total Pages : 376 pages
Book Rating : 4.0/5 (37 download)

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Book Synopsis Data Science for Nano Image Analysis by : Chiwoo Park

Download or read book Data Science for Nano Image Analysis written by Chiwoo Park and published by Springer Nature. This book was released on 2021-07-31 with total page 376 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book combines two distinctive topics: data science/image analysis and materials science. The purpose of this book is to show what type of nano material problems can be better solved by which set of data science methods. The majority of material science research is thus far carried out by domain-specific experts in material engineering, chemistry/chemical engineering, and mechanical & aerospace engineering. The book could benefit materials scientists and manufacturing engineers who were not exposed to systematic data science training while in schools, or data scientists in computer science or statistics disciplines who want to work on material image problems or contribute to materials discovery and optimization. This book provides in-depth discussions of how data science and operations research methods can help and improve nano image analysis, automating the otherwise manual and time-consuming operations for material engineering and enhancing decision making for nano material exploration. A broad set of data science methods are covered, including the representations of images, shape analysis, image pattern analysis, and analysis of streaming images, change points detection, graphical methods, and real-time dynamic modeling and object tracking. The data science methods are described in the context of nano image applications, with specific material science case studies.

Data-Driven Cognitive Manufacturing - Applications in Predictive Maintenance and Zero Defect Manufacturing

Author : Dimitris Kiritsis
Publisher : Frontiers Media SA
ISBN 13 : 2889665836
Total Pages : 124 pages
Book Rating : 4.8/5 (896 download)

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Book Synopsis Data-Driven Cognitive Manufacturing - Applications in Predictive Maintenance and Zero Defect Manufacturing by : Dimitris Kiritsis

Download or read book Data-Driven Cognitive Manufacturing - Applications in Predictive Maintenance and Zero Defect Manufacturing written by Dimitris Kiritsis and published by Frontiers Media SA. This book was released on 2021-03-10 with total page 124 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Industrial Internet of Things

Author : Sabina Jeschke
Publisher : Springer
ISBN 13 : 3319425595
Total Pages : 714 pages
Book Rating : 4.3/5 (194 download)

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Book Synopsis Industrial Internet of Things by : Sabina Jeschke

Download or read book Industrial Internet of Things written by Sabina Jeschke and published by Springer. This book was released on 2016-10-12 with total page 714 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book develops the core system science needed to enable the development of a complex industrial internet of things/manufacturing cyber-physical systems (IIoT/M-CPS). Gathering contributions from leading experts in the field with years of experience in advancing manufacturing, it fosters a research community committed to advancing research and education in IIoT/M-CPS and to translating applicable science and technology into engineering practice. Presenting the current state of IIoT and the concept of cybermanufacturing, this book is at the nexus of research advances from the engineering and computer and information science domains. Readers will acquire the core system science needed to transform to cybermanufacturing that spans the full spectrum from ideation to physical realization.