Big Data Analytics In Smart Manufacturing

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Big Data Analytics in Smart Manufacturing

P Suresh,T Poongodi,B Balamurugan,Meenakshi Sharma
Big Data Analytics in Smart Manufacturing Book PDF

Author : P Suresh,T Poongodi,B Balamurugan,Meenakshi Sharma
Publisher : CRC Press
Page : 205 pages
File Size : 44,9 Mb
Release : 2022-12-14
Category : Computers
ISBN : 9781000815740

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Big Data Analytics in Smart Manufacturing by P Suresh,T Poongodi,B Balamurugan,Meenakshi Sharma Pdf

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

Weidong Li,Yuchen Liang,Sheng Wang
Data Driven Smart Manufacturing Technologies and Applications Book PDF

Author : Weidong Li,Yuchen Liang,Sheng Wang
Publisher : Springer Nature
Page : 218 pages
File Size : 40,9 Mb
Release : 2021-02-20
Category : Technology & Engineering
ISBN : 9783030668495

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Data Driven Smart Manufacturing Technologies and Applications by Weidong Li,Yuchen Liang,Sheng Wang Pdf

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

Rajesh Agnihotri,Samuel New
Industry 4 0 Data Analytics Book PDF

Author : Rajesh Agnihotri,Samuel New
Publisher : Createspace Independent Publishing Platform
Page : 174 pages
File Size : 52,7 Mb
Release : 2016-07-31
Category : Electronic
ISBN : 1534778284

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Industry 4.0 Data Analytics by Rajesh Agnihotri,Samuel New Pdf

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.

Big Data Applications in Industry 4.0

P. Kaliraj,T. Devi
Big Data Applications in Industry 4 0 Book PDF

Author : P. Kaliraj,T. Devi
Publisher : CRC Press
Page : 446 pages
File Size : 40,5 Mb
Release : 2022-02-10
Category : Computers
ISBN : 9781000537666

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Big Data Applications in Industry 4.0 by P. Kaliraj,T. Devi Pdf

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

Research in Intelligent and Computing in Engineering

Raghvendra Kumar,Nguyen Ho Quang,Vijender Kumar Solanki,Manuel Cardona,Prasant Kumar Pattnaik
Research in Intelligent and Computing in Engineering Book PDF

Author : Raghvendra Kumar,Nguyen Ho Quang,Vijender Kumar Solanki,Manuel Cardona,Prasant Kumar Pattnaik
Publisher : Springer Nature
Page : 975 pages
File Size : 44,6 Mb
Release : 2021-01-04
Category : Technology & Engineering
ISBN : 9789811575273

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Research in Intelligent and Computing in Engineering by Raghvendra Kumar,Nguyen Ho Quang,Vijender Kumar Solanki,Manuel Cardona,Prasant Kumar Pattnaik Pdf

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.

Data Modelling and Management for Big Data

Srikumar Krishnamoorthy
Data Modelling and Management for Big Data Book PDF

Author : Srikumar Krishnamoorthy
Publisher : Unknown
Page : 128 pages
File Size : 53,7 Mb
Release : 2015
Category : Big data
ISBN : 1526428903

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Data Modelling and Management for Big Data by Srikumar Krishnamoorthy Pdf

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.

Big Data Analytics for Smart and Connected Cities

Dey, Nilanjan,Tamane, Sharvari
Big Data Analytics for Smart and Connected Cities Book PDF

Author : Dey, Nilanjan,Tamane, Sharvari
Publisher : IGI Global
Page : 348 pages
File Size : 43,5 Mb
Release : 2018-09-07
Category : Technology & Engineering
ISBN : 9781522562085

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Big Data Analytics for Smart and Connected Cities by Dey, Nilanjan,Tamane, Sharvari Pdf

To continue providing people with safe, comfortable, and affordable places to live, cities must incorporate techniques and technologies to bring them into the future. The integration of big data and interconnected technology, along with the increasing population, will lead to the necessary creation of smart cities. Big Data Analytics for Smart and Connected Cities is a pivotal reference source that provides vital research on the application of the integration of interconnected technologies and big data analytics into the creation of smart cities. While highlighting topics such as energy conservation, public transit planning, and performance measurement, this publication explores technology integration in urban environments as well as the methods of planning cities to implement these new technologies. This book is ideally designed for engineers, professionals, researchers, and technology developers seeking current research on technology implementation in urban settings.

Predictive Maintenance in Smart Factories

Tania Cerquitelli,Nikolaos Nikolakis,Niamh O’Mahony,Enrico Macii,Massimo Ippolito,Sotirios Makris
Predictive Maintenance in Smart Factories Book PDF

Author : Tania Cerquitelli,Nikolaos Nikolakis,Niamh O’Mahony,Enrico Macii,Massimo Ippolito,Sotirios Makris
Publisher : Springer Nature
Page : 239 pages
File Size : 45,8 Mb
Release : 2021-08-26
Category : Science
ISBN : 9789811629402

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Predictive Maintenance in Smart Factories by Tania Cerquitelli,Nikolaos Nikolakis,Niamh O’Mahony,Enrico Macii,Massimo Ippolito,Sotirios Makris Pdf

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.

Artificial Intelligence, Machine Learning, and Data Science Technologies

Neeraj Mohan,Ruchi Singla,Priyanka Kaushal,Seifedine Kadry
Artificial Intelligence Machine Learning and Data Science Technologies Book PDF

Author : Neeraj Mohan,Ruchi Singla,Priyanka Kaushal,Seifedine Kadry
Publisher : CRC Press
Page : 311 pages
File Size : 52,9 Mb
Release : 2021-10-11
Category : Computers
ISBN : 9781000460520

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Artificial Intelligence, Machine Learning, and Data Science Technologies by Neeraj Mohan,Ruchi Singla,Priyanka Kaushal,Seifedine Kadry Pdf

This book provides a comprehensive, conceptual, and detailed overview of the wide range of applications of Artificial Intelligence, Machine Learning, and Data Science and how these technologies have an impact on various domains such as healthcare, business, industry, security, and how all countries around the world are feeling this impact. The book aims at low-cost solutions which could be implemented even in developing countries. It highlights the significant impact these technologies have on various industries and on us as humans. It provides a virtual picture of forthcoming better human life shadowed by the new technologies and their applications and discusses the impact Data Science has on business applications. The book will also include an overview of the different AI applications and their correlation between each other. The audience is graduate and postgraduate students, researchers, academicians, institutions, and professionals who are interested in exploring key technologies like Artificial Intelligence, Machine Learning, and Data Science.

Data Analytics and Artificial Intelligence for Predictive Maintenance in Smart Manufacturing

Amit Kumar Tyagi,Shrikant Tiwari,Gulshan Soni
Data Analytics and Artificial Intelligence for Predictive Maintenance in Smart Manufacturing Book PDF

Author : Amit Kumar Tyagi,Shrikant Tiwari,Gulshan Soni
Publisher : Unknown
Page : 0 pages
File Size : 54,8 Mb
Release : 2024-10-21
Category : Computers
ISBN : 1032769521

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Data Analytics and Artificial Intelligence for Predictive Maintenance in Smart Manufacturing by Amit Kumar Tyagi,Shrikant Tiwari,Gulshan Soni Pdf

Data Analytics and Artificial Intelligence (AI) play an important role in Predictive Maintenance (PdM) within the manufacturing industry. This book contains up-to-date information on predictive maintenance and the latest advancements, trends, and tools required to reduce costs and save time for manufacturers and industries.

Smart Manufacturing

Anthony Tarantino
Smart Manufacturing Book PDF

Author : Anthony Tarantino
Publisher : John Wiley & Sons
Page : 471 pages
File Size : 43,7 Mb
Release : 2022-05-24
Category : Business & Economics
ISBN : 9781119846628

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Smart Manufacturing by Anthony Tarantino Pdf

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.

Supply Chain Management in the Big Data Era

Chan, Hing Kai,Subramanian, Nachiappan,Abdulrahman, Muhammad Dan-Asabe
Supply Chain Management in the Big Data Era Book PDF

Author : Chan, Hing Kai,Subramanian, Nachiappan,Abdulrahman, Muhammad Dan-Asabe
Publisher : IGI Global
Page : 299 pages
File Size : 43,7 Mb
Release : 2016-11-04
Category : Business & Economics
ISBN : 9781522509578

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Supply Chain Management in the Big Data Era by Chan, Hing Kai,Subramanian, Nachiappan,Abdulrahman, Muhammad Dan-Asabe Pdf

Technological advancements in recent years have led to significant developments within a variety of business applications. In particular, data-driven research provides ample opportunity for enterprise growth, if utilized efficiently. Supply Chain Management in the Big Data Era is an authoritative reference source for the latest scholarly material on the implementation of big data analytics for improved operations and supply chain processes. Highlighting emerging strategies from different industry perspectives, this book is ideally designed for managers, professionals, practitioners, and students interested in the most recent research on supply chain innovations.

Topics in Artificial Intelligence Applied to Industry 4.0

Mahmoud Ragab AL-Refaey,Amit Kumar Tyagi,Abdullah Saad AL-Malaise AL-Ghamdi,Swetta Kukreja
Topics in Artificial Intelligence Applied to Industry 4 0 Book PDF

Author : Mahmoud Ragab AL-Refaey,Amit Kumar Tyagi,Abdullah Saad AL-Malaise AL-Ghamdi,Swetta Kukreja
Publisher : John Wiley & Sons
Page : 325 pages
File Size : 49,8 Mb
Release : 2024-07-15
Category : Computers
ISBN : 9781394216116

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Topics in Artificial Intelligence Applied to Industry 4.0 by Mahmoud Ragab AL-Refaey,Amit Kumar Tyagi,Abdullah Saad AL-Malaise AL-Ghamdi,Swetta Kukreja Pdf

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.

Emerging Technologies in Manufacturing

Matthew N. O. Sadiku,Abayomi J. Ajayi-Majebi,Philip O. Adebo
Emerging Technologies in Manufacturing Book PDF

Author : Matthew N. O. Sadiku,Abayomi J. Ajayi-Majebi,Philip O. Adebo
Publisher : Springer Nature
Page : 297 pages
File Size : 47,8 Mb
Release : 2023-03-15
Category : Technology & Engineering
ISBN : 9783031231568

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Emerging Technologies in Manufacturing by Matthew N. O. Sadiku,Abayomi J. Ajayi-Majebi,Philip O. Adebo Pdf

The manufacturing industry is a cornerstone of national economy and people’s livelihood. It is the way of transforming resources into products or goods which are required to cater to the needs of the society. Traditional manufacturing companies currently face several challenges such as rapid technological changes, inventory problem, shortened innovation, short product life cycles, volatile demand, low prices, highly customized products, and ability to compete in the global markets. Modern manufacturing is highly competitive due to globalization and fast changes in the global market. This book reviews emerging technologies in manufacturing. These technologies include artificial intelligence, smart manufacturing, lean manufacturing, robotics, automation, 3D printing, nanotechnology, industrial Internet of things, and augmented reality. The use of these technologies will have a profound impact on the manufacturing industry. The book consists of 19 chapters. Each chapter addresses a single emerging technology in depth and describes how manufacturing organizations are adopting the technology. The book fills an important niche for manufacturing. It is a comprehensive, jargon-free introductory text on the issues, ideas, theories, and problems on emerging technologies in manufacturing. It is a must-read book for beginners or anyone who wants to be updated about emerging technologies.

Smart Manufacturing

Masoud Soroush,Michael Baldea,Thomas F. Edgar
Smart Manufacturing Book PDF

Author : Masoud Soroush,Michael Baldea,Thomas F. Edgar
Publisher : Elsevier
Page : 428 pages
File Size : 41,7 Mb
Release : 2020-08-04
Category : Technology & Engineering
ISBN : 9780128203804

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Smart Manufacturing by Masoud Soroush,Michael Baldea,Thomas F. Edgar Pdf

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