Big Data Analytics In Smart Manufacturing
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Big Data Analytics In Smart Manufacturing
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Author : P Suresh
language : en
Publisher: CRC Press
Release Date : 2022-12-14
Big Data Analytics In Smart Manufacturing written by P Suresh and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-12-14 with Computers categories.
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.
Data Driven Smart Manufacturing Technologies And Applications
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Author : Weidong Li
language : en
Publisher: Springer Nature
Release Date : 2021-02-20
Data Driven Smart Manufacturing Technologies And Applications written by Weidong Li and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-02-20 with Technology & Engineering categories.
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.
Industry 4 0 Data Analytics
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Author : Rajesh Agnihotri
language : en
Publisher: Createspace Independent Publishing Platform
Release Date : 2016-07-31
Industry 4 0 Data Analytics written by Rajesh Agnihotri and has been published by Createspace Independent Publishing Platform this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-07-31 with categories.
Global supply chains are entering an exciting era driven by technological innovation. Buzzwords like Big Data Analytics, IoT, Smart Manufacturing, Smart Logistics and Industries 4.0 are generating both interest and confusion in the business community. This book's comprehensive, one-of-a-kind coverage, journeys from the birth of digital data during Industries 3.0, to the latest practices, trends, and emerging developments in Industries 4.0. The balanced approach of the book follows the natural flow of supply chain processes and provides a deeper insight into the role data analytics plays in streamlining today's business models. Well-organized chapters demonstrate the practical applications of data analytics in today's supply chain workplace, and provide a wealth of real-world business examples. The book provides a step-by-step approach to building your own data analytics strategy.
Smart Manufacturing
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Author : Anthony Tarantino
language : en
Publisher: John Wiley & Sons
Release Date : 2022-05-24
Smart Manufacturing written by Anthony Tarantino and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-05-24 with Business & Economics categories.
Explore the dramatic changes brought on by the new manufacturing technologies of Industry 4.0 In Smart Manufacturing, The Lean Six Sigma Way, Dr. Anthony Tarantino delivers an insightful and eye-opening exploration of the ways the Fourth Industrial Revolution is dramatically changing the way we manufacture products across the world and especially how it will revitalize manufacturing in North America and Europe. The author examines the role and impact of a variety of new Smart technologies including industrial IoT, computer vision, mobile/edge computing, 3D printing, robots, big data analytics, and the cloud. He demonstrates how to apply these new technologies to over 20 continuous improvement/Lean Six Sigma tools, greatly enhancing their effectiveness and ease of use. The book also discusses the role Smart technologies will play in improving: Career opportunities for women in manufacturing Cyber security, supply chain risk, and logistics resiliency Workplace health, safety, and security Life on the manufacturing floor Operational efficiencies and customer satisfaction Perfect for anyone involved in the manufacturing or distribution of products in the 21st century, Smart Manufacturing, The Lean Six Sigma Way belongs in the libraries of anyone interested in the intersection of technology, commerce, and physical manufacturing.
Big Data Applications In Industry 4 0
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Author : P. Kaliraj
language : en
Publisher: CRC Press
Release Date : 2022-02-10
Big Data Applications In Industry 4 0 written by P. Kaliraj and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-02-10 with Computers categories.
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
Data Modelling And Management For Big Data
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Author : Srikumar Krishnamoorthy
language : en
Publisher:
Release Date : 2015
Data Modelling And Management For Big Data written by Srikumar Krishnamoorthy and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015 with Big data categories.
CFX Inc, an e-commerce start-up based abroad, had built a large e-marketplace that allowed sellers and buyers to transact online. The firm had 30,000 sellers and aimed to increase the number to 50,000 in another year's time. In 2015, the company had around six million customers and anticipated their growth to triple in the next two years. In order to provide the best shopping experience to their growing customer base, the firm needed to collect, store and analyze different kinds of data (transactional, behavioural, syndicated and demographic) and improve customer shopping experience. The company was in the process of identifying and designing suitable data management systems to sustain and manage its business growth. As part of this initiative, it hired a consultant to study its data management requirements, design a data model and offer implementation related recommendations.
Research In Intelligent And Computing In Engineering
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Author : Raghvendra Kumar
language : en
Publisher: Springer Nature
Release Date : 2021-01-04
Research In Intelligent And Computing In Engineering written by Raghvendra Kumar and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-01-04 with Technology & Engineering categories.
This book comprises select peer-reviewed proceedings of the international conference on Research in Intelligent and Computing in Engineering (RICE 2020) held at Thu Dau Mot University, Vietnam. The volume primarily focuses on latest research and advances in various computing models such as centralized, distributed, cluster, grid, and cloud computing. Practical examples and real-life applications of wireless sensor networks, mobile ad hoc networks, and internet of things, data mining and machine learning are also covered in the book. The contents aim to enable researchers and professionals to tackle the rapidly growing needs of network applications and the various complexities associated with them.
Predictive Maintenance In Smart Factories
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Author : Tania Cerquitelli
language : en
Publisher: Springer Nature
Release Date : 2021-08-26
Predictive Maintenance In Smart Factories written by Tania Cerquitelli and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-08-26 with Science categories.
This book presents the outcome of the European project "SERENA", involving fourteen partners as international academics, technological companies, and industrial factories, addressing the design and development of a plug-n-play end-to-end cloud architecture, and enabling predictive maintenance of industrial equipment to be easily exploitable by small and medium manufacturing companies with a very limited data analytics experience. Perspectives and new opportunities to address open issues on predictive maintenance conclude the book with some interesting suggestions of future research directions to continue the growth of the manufacturing intelligence.
Digital Twins
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Author : Yogini Borole
language : en
Publisher: Walter de Gruyter GmbH & Co KG
Release Date : 2023-09-18
Digital Twins written by Yogini Borole and has been published by Walter de Gruyter GmbH & Co KG this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-09-18 with Business & Economics categories.
The book series "Smart Computing Applications" provides a platform for researchers, academicians and practitioners to exchange ideas on recent theoretical and applied data science and computing technologies research, with a particular attention to the possible applications of such technologies in the industry, especially in the field of mechanical and industrial engineering. This series serves as a valuable resource for graduate, postgraduate, doctoral students, researchers, academicians and industry professionals.
Smart Manufacturing
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Author : Masoud Soroush
language : en
Publisher: Elsevier
Release Date : 2020-08-04
Smart Manufacturing written by Masoud Soroush and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-08-04 with Technology & Engineering categories.
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