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This book is a collection of selected papers presented at the First International Conference on Industrial IoT, Big Data and Supply Chain (IIoTBDSC), held as an online conference due to COVID-19 (initially to be held in Macao, Special Administration Region (SAR) of China), during September 15–17, 2020. It includes novel and innovative work from experts, practitioners, scientists and decision-makers from academia and industry. It brings multi-disciplines together on IIoT, data science, cloud computing, software engineering approaches to design, development, testing and quality of products and services.
Book Synopsis Modern Industrial IoT, Big Data and Supply Chain by : Victor Chang
Download or read book Modern Industrial IoT, Big Data and Supply Chain written by Victor Chang and published by Springer Nature. This book was released on 2021-03-31 with total page 445 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a collection of selected papers presented at the First International Conference on Industrial IoT, Big Data and Supply Chain (IIoTBDSC), held as an online conference due to COVID-19 (initially to be held in Macao, Special Administration Region (SAR) of China), during September 15–17, 2020. It includes novel and innovative work from experts, practitioners, scientists and decision-makers from academia and industry. It brings multi-disciplines together on IIoT, data science, cloud computing, software engineering approaches to design, development, testing and quality of products and services.
This book is a collection of selected papers presented at the First International Conference on Industrial IoT, Big Data and Supply Chain (IIoTBDSC), held as an online conference due to COVID-19 (initially to be held in Macao, Special Administration Region (SAR) of China), during September 15-17, 2020. It includes novel and innovative work from experts, practitioners, scientists and decision-makers from academia and industry. It brings multi-disciplines together on IIoT, data science, cloud computing, software engineering approaches to design, development, testing and quality of products and services.
Book Synopsis Modern Industrial IoT, Big Data and Supply Chain by : Victor Chang
Download or read book Modern Industrial IoT, Big Data and Supply Chain written by Victor Chang and published by . This book was released on 2021 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a collection of selected papers presented at the First International Conference on Industrial IoT, Big Data and Supply Chain (IIoTBDSC), held as an online conference due to COVID-19 (initially to be held in Macao, Special Administration Region (SAR) of China), during September 15-17, 2020. It includes novel and innovative work from experts, practitioners, scientists and decision-makers from academia and industry. It brings multi-disciplines together on IIoT, data science, cloud computing, software engineering approaches to design, development, testing and quality of products and services.
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.
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.
The Industrial Internet of Things (IIoT) is a platform that allows a network of devices (sensors, smart meters, etc ) to communicate, analyze data and process information collaboratively in the service of individuals or organizations Big Data (BD) has core values of volume, velocity, variety and veracity Supply Chain requires the modern advancement and support from IIoT and Big Data, to make all services efficient, fast, accurate and reliable These three can combine and work together to produce greater impacts and contributions as follows First, the issues surrounding IIoT devices, their interconnectedness and services they may offer, including efficient, effective and secure analysis of the data IIoT produces Often machine learning and other advanced techniques, models and tools, and issues of security and trust are related The maturity of IoT technologies can grow and become part of our everyday lives Second, BD can be jointly used with machine learning, AI, statistical and ot
Book Synopsis 2023 International Conference on Industrial IoT, Big Data and Supply Chain (IIoTBDSC) by : IEEE Staff
Download or read book 2023 International Conference on Industrial IoT, Big Data and Supply Chain (IIoTBDSC) written by IEEE Staff and published by . This book was released on 2023-09-22 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Industrial Internet of Things (IIoT) is a platform that allows a network of devices (sensors, smart meters, etc ) to communicate, analyze data and process information collaboratively in the service of individuals or organizations Big Data (BD) has core values of volume, velocity, variety and veracity Supply Chain requires the modern advancement and support from IIoT and Big Data, to make all services efficient, fast, accurate and reliable These three can combine and work together to produce greater impacts and contributions as follows First, the issues surrounding IIoT devices, their interconnectedness and services they may offer, including efficient, effective and secure analysis of the data IIoT produces Often machine learning and other advanced techniques, models and tools, and issues of security and trust are related The maturity of IoT technologies can grow and become part of our everyday lives Second, BD can be jointly used with machine learning, AI, statistical and ot
Mastering the art of leveraging IoT for industry transformation KEY FEATURES ● Learn IoT principles, strategies, and tech for advanced manufacturing and supply chain. ● Understand IoT's role in enhancing competitiveness and innovation. ● Gain insights through real-world case studies and practical examples. DESCRIPTION In the world of industrial manufacturing and supply chain, the lack of real-time visibility and insights into processes poses a significant challenge. However, IoT is set to bring about a profound transformation. This technological revolution promises efficiency gains, operational optimization, and unprecedented business insights. Step into the world of Industry 4.0 and 5.0 with IoT and discover how it revolutionizes production and logistics. Learn about real-time monitoring, predictive maintenance, and quality control while ensuring a secure IoT infrastructure. Explore practical examples in manufacturing, including smart factories, personalized transit, and sustainability practices. Use the potential of AI, predictive analytics, and 3D printing to align your IoT strategies with business goals for enhanced performance. Completing this book equips readers to excel in leveraging IoT for industrial manufacturing and supply chain advancements. They will master IoT concepts, optimize processes, and handle integration challenges. With the acquired knowledge, readers can develop strong IoT strategies, assess project outcomes effectively, and introduce significant improvements to their manufacturing and supply chain operations. WHAT YOU WILL LEARN ● Understanding IoT's role in advanced manufacturing and supply chain. ● Applying IoT for real-time monitoring and predictive maintenance. ● Enhancing production efficiency through IoT-driven solutions. ● Leveraging IoT for supply chain optimization and transparency. ● Overcoming IoT implementation challenges and ensuring security. ● Exploring the future possibilities of IoT and AI in manufacturing. WHO THIS BOOK IS FOR This book is intended for manufacturing, supply chain management, and IoT specialists and enthusiasts with intermediate to advanced knowledge of IoT and its industrial applications. TABLE OF CONTENTS 1. IoT Fundamentals, Architecture, and Protocols 2. Embracing IoT in Manufacturing 3. The Power of IoT in Supply Chain 4. IoT: Use Cases in Smart Factories 5. Business Factors and Optimization for IoT Implementation 6. Challenges and Solutions 7. Artificial Intelligence in Manufacturing 8. The Future of IoT 9. Key Takeaways
Book Synopsis Advanced Manufacturing and Supply Chain with IoT by :
Download or read book Advanced Manufacturing and Supply Chain with IoT written by and published by BPB Publications. This book was released on 2024-02-20 with total page 389 pages. Available in PDF, EPUB and Kindle. Book excerpt: Mastering the art of leveraging IoT for industry transformation KEY FEATURES ● Learn IoT principles, strategies, and tech for advanced manufacturing and supply chain. ● Understand IoT's role in enhancing competitiveness and innovation. ● Gain insights through real-world case studies and practical examples. DESCRIPTION In the world of industrial manufacturing and supply chain, the lack of real-time visibility and insights into processes poses a significant challenge. However, IoT is set to bring about a profound transformation. This technological revolution promises efficiency gains, operational optimization, and unprecedented business insights. Step into the world of Industry 4.0 and 5.0 with IoT and discover how it revolutionizes production and logistics. Learn about real-time monitoring, predictive maintenance, and quality control while ensuring a secure IoT infrastructure. Explore practical examples in manufacturing, including smart factories, personalized transit, and sustainability practices. Use the potential of AI, predictive analytics, and 3D printing to align your IoT strategies with business goals for enhanced performance. Completing this book equips readers to excel in leveraging IoT for industrial manufacturing and supply chain advancements. They will master IoT concepts, optimize processes, and handle integration challenges. With the acquired knowledge, readers can develop strong IoT strategies, assess project outcomes effectively, and introduce significant improvements to their manufacturing and supply chain operations. WHAT YOU WILL LEARN ● Understanding IoT's role in advanced manufacturing and supply chain. ● Applying IoT for real-time monitoring and predictive maintenance. ● Enhancing production efficiency through IoT-driven solutions. ● Leveraging IoT for supply chain optimization and transparency. ● Overcoming IoT implementation challenges and ensuring security. ● Exploring the future possibilities of IoT and AI in manufacturing. WHO THIS BOOK IS FOR This book is intended for manufacturing, supply chain management, and IoT specialists and enthusiasts with intermediate to advanced knowledge of IoT and its industrial applications. TABLE OF CONTENTS 1. IoT Fundamentals, Architecture, and Protocols 2. Embracing IoT in Manufacturing 3. The Power of IoT in Supply Chain 4. IoT: Use Cases in Smart Factories 5. Business Factors and Optimization for IoT Implementation 6. Challenges and Solutions 7. Artificial Intelligence in Manufacturing 8. The Future of IoT 9. Key Takeaways
Book Synopsis 2022 International Conference on Industrial IoT, Big Data and Supply Chain (IIoTBDSC) by : IEEE Staff
Download or read book 2022 International Conference on Industrial IoT, Big Data and Supply Chain (IIoTBDSC) written by IEEE Staff and published by . This book was released on 2022-09-23 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Internet of Things, Big Data and Supply Chain
This book provides a detailed theoretical background of Logistics 4.0 using real-world examples and case studies and proposes a methodological framework to understand the technological revolutions happening in the present day from the perspective of logistics management. With the fourth industrial revolution, new technologies, such as artificial intelligence, cloud computing, 3D printers and the Internet of Things started to take greater prominence in the world of business. One of the sectors most affected by changes brought on by this Industry 4.0 is logistics, which has given rise to the concept of Logistics 4.0. Covering a wide range of topics on Logistics 4.0, such as warehousing, big data, 3D printing, robotics and cloud computing, this book would be a valuable read for those involved in logistics management, academics and students in the areas of supply chain management, logistics, industry 4, and big data. .
Book Synopsis Logistics 4.0 and Future of Supply Chains by : İsmail İyigün
Download or read book Logistics 4.0 and Future of Supply Chains written by İsmail İyigün and published by Springer Nature. This book was released on 2021-11-14 with total page 287 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a detailed theoretical background of Logistics 4.0 using real-world examples and case studies and proposes a methodological framework to understand the technological revolutions happening in the present day from the perspective of logistics management. With the fourth industrial revolution, new technologies, such as artificial intelligence, cloud computing, 3D printers and the Internet of Things started to take greater prominence in the world of business. One of the sectors most affected by changes brought on by this Industry 4.0 is logistics, which has given rise to the concept of Logistics 4.0. Covering a wide range of topics on Logistics 4.0, such as warehousing, big data, 3D printing, robotics and cloud computing, this book would be a valuable read for those involved in logistics management, academics and students in the areas of supply chain management, logistics, industry 4, and big data. .
In a world of soaring digitization, social media, financial transactions, and production and logistics processes constantly produce massive data. Employing analytical tools to extract insights and foresights from data improves the quality, speed, and reliability of solutions to highly intertwined issues faced in supply chain operations. From procurement in Industry 4.0 to sustainable consumption behavior to curriculum development for data scientists, this book offers a wide array of techniques and theories of Big Data Analytics applied to Supply Chain Management. It offers a comprehensive overview and forms a new synthesis by bringing together seemingly divergent fields of research. Intended for Engineering and Business students, scholars, and professionals, this book is a collection of state-of-the-art research and best practices to spur discussion about and extend the cumulant knowledge of emerging supply chain problems.
Book Synopsis Big Data Analytics in Supply Chain Management by : Iman Rahimi
Download or read book Big Data Analytics in Supply Chain Management written by Iman Rahimi and published by CRC Press. This book was released on 2020-12-20 with total page 211 pages. Available in PDF, EPUB and Kindle. Book excerpt: In a world of soaring digitization, social media, financial transactions, and production and logistics processes constantly produce massive data. Employing analytical tools to extract insights and foresights from data improves the quality, speed, and reliability of solutions to highly intertwined issues faced in supply chain operations. From procurement in Industry 4.0 to sustainable consumption behavior to curriculum development for data scientists, this book offers a wide array of techniques and theories of Big Data Analytics applied to Supply Chain Management. It offers a comprehensive overview and forms a new synthesis by bringing together seemingly divergent fields of research. Intended for Engineering and Business students, scholars, and professionals, this book is a collection of state-of-the-art research and best practices to spur discussion about and extend the cumulant knowledge of emerging supply chain problems.
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.
Book Synopsis Industry 4.0 Data Analytics by : Rajesh Agnihotri
Download or read book Industry 4.0 Data Analytics written by Rajesh Agnihotri and published by Createspace Independent Publishing Platform. This book was released on 2016-07-31 with total page 174 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
The concept of Internet of Things has silently existed since the late nineteenth century but in the current decade expectations and excitement has peaked. However not many have understood the profound change that it can usher in. How big this change can be and how it can transform our working!! This book aims to bring in this realization with illustrative and practical case studies with comprehensive concepts. From beginners to practitioners in the field of academics or industry, it serves as a comprehensive yet easy to comprehend source of information on the multiple facets of IoT. Simplistic but comprehensive introduction of the facets of primarily the industrial IoT Practical adoption cases explaining the Core technology stack and business applications Comprehensive view of current technologies which complete the IoT delivery ecosystem, followed by overview of IoT enabled new business models. Realistic view of how industrial firms can evolve into the next stage of maturity along with determinants influencing this transformation since manufacturing is envisioned to be a key segment to adopt and benefit from IoT. Detailed analysis of IoT benefits for the universal triad- energy management, logistics optimization and distribution channel management. A full-fledged case study on Adoption of Green manufacturing using IoT. Real world example of gauging End User perception using different models which is important for a successful adoption of IoT. A futuristic visionary view of IoT as comprehended based on evolution of technology and platforms, and finally analysis of the extremely crucial concepts of security, privacy and governance.
Book Synopsis Internet of Things by : Ravi Ramakrishnan
Download or read book Internet of Things written by Ravi Ramakrishnan and published by CRC Press. This book was released on 2019-06-04 with total page 192 pages. Available in PDF, EPUB and Kindle. Book excerpt: The concept of Internet of Things has silently existed since the late nineteenth century but in the current decade expectations and excitement has peaked. However not many have understood the profound change that it can usher in. How big this change can be and how it can transform our working!! This book aims to bring in this realization with illustrative and practical case studies with comprehensive concepts. From beginners to practitioners in the field of academics or industry, it serves as a comprehensive yet easy to comprehend source of information on the multiple facets of IoT. Simplistic but comprehensive introduction of the facets of primarily the industrial IoT Practical adoption cases explaining the Core technology stack and business applications Comprehensive view of current technologies which complete the IoT delivery ecosystem, followed by overview of IoT enabled new business models. Realistic view of how industrial firms can evolve into the next stage of maturity along with determinants influencing this transformation since manufacturing is envisioned to be a key segment to adopt and benefit from IoT. Detailed analysis of IoT benefits for the universal triad- energy management, logistics optimization and distribution channel management. A full-fledged case study on Adoption of Green manufacturing using IoT. Real world example of gauging End User perception using different models which is important for a successful adoption of IoT. A futuristic visionary view of IoT as comprehended based on evolution of technology and platforms, and finally analysis of the extremely crucial concepts of security, privacy and governance.