Blockchain, IoT, and AI Technologies for Supply Chain Management: Apply Emerging Technologies to Address and Improve Supply Chain Management
Editat de Dr. Veena Grover, Dr. B. Balamurugan Balusamy, Dr. Mariofanna Milanov, Dr. A. Yovan Felixen Limba Engleză Paperback – 29 aug 2024
The current state of supply chain management involves several challenges, including lack of transparency, limited visibility into product movements, inefficient inventory management, and difficulty in tracking and tracing products. Blockchain, IoT, and AI can potentially address some of these challenges and improve supply chain management.
To help illustrate this, case studies and actual instances of businesses implementing or experimenting with blockchain, IoT, and AI technology in their supply chains are included in the book. You’ll review helpful advice on implementation and highlight successful deployments, lessons learned, and the impact of these technologies on supply chain visibility, agility, sustainability, and customer experience. This book further elaborates the fundamental concepts of AI and ML algorithms and demonstrates how AI can process enormous volumes of supply chain data to produce actionable insights, improve inventory control, forecast demand, and increase forecasting precision.
This collective work will serve as a comprehensive guide for supply chain professionals, researchers, and technology enthusiasts interested in understanding the potential of blockchain, IoT, and AI technologies in revolutionizing supply chain management practices.
What You Will Learn
- Discuss the evolving landscape of technology, potential advancements, and how Blockchain, IoT, and AI can shape the future of supply chains
- Gain Insight into upcoming developments and prepare for changing dynamics of the industry
- Understand intricate details of blockchain, IoT, and AI Technologies in real-life scenarios
Industry Professionals working in the domain of supply chain management who would be interested in understanding how these technologies can enhance efficiency, transparency, and optimization in their supply chains.
Preț: 247.15 lei
Preț vechi: 308.94 lei
-20% Nou
Puncte Express: 371
Preț estimativ în valută:
47.31€ • 49.18$ • 39.23£
47.31€ • 49.18$ • 39.23£
Carte disponibilă
Livrare economică 17-31 ianuarie 25
Preluare comenzi: 021 569.72.76
Specificații
ISBN-13: 9798868803147
Pagini: 250
Ilustrații: Approx. 250 p.
Dimensiuni: 155 x 235 mm
Greutate: 0.78 kg
Ediția:1st ed.
Editura: Apress
Colecția Apress
Locul publicării:Berkeley, CA, United States
Pagini: 250
Ilustrații: Approx. 250 p.
Dimensiuni: 155 x 235 mm
Greutate: 0.78 kg
Ediția:1st ed.
Editura: Apress
Colecția Apress
Locul publicării:Berkeley, CA, United States
Cuprins
Chapter 1: Supply Chain Management Strategy and Practices: Traditional Vs Advanced.- Chapter 2: Convergence of IoT, Artificial Intelligence and Blockchain Approaches for Applications in Supply Chain Management.- Chapter 3: Value Creation in Blockchain-Driven Supply Chain Financing Opportunities.- Chapter 4: Artificial Intelligence Applications for Demand Forecasting & Optimization.- Chapter 5: AI-Enabled Supply Chain Planning and Execution: A Pathway to Sustainability.- Chapter 6: Leveraging IOT In Supply Chain Sustainability: A Provenance Perspective.- Chapter 7: AI And Machine Learning in Supply Chain Optimization: Mapping the Territory.- Chapter 8: Blockchain and IoT Integration Based Transparency of Supply Chain Social Sustainability.- Chapter 9: Integration of Blockchain, IoT, And AI In Supply Chain Management: A New Paradigm for Supply Chain Integration and Collaboration.- Chapter 10: Challenges of Supply Chain Management Post COVID-19: Mitigation Strategies and Practical Lessons Learned.- Chapter 11: Supply Chain 4.0: Autonomous Vehicles and Delivery Robots in Supply Chain Management.- Chapter 12: Blockchain for the Future of Sustainable Supply Chain Management in Industry 4.0.- Chapter 13: Managing the Dynamics of New Technologies in The Global Supply Chain.- Chapter 14: Future Trends and Challenges in Supply Chain Technology.- Chapter 15: Real-World Applications of Generative AI for Data Augmentation.- Chapter 16: Case Studies and Best Practices in Supply Chain Management.
Notă biografică
Dr. Veena Grover is a Professor in Department of Management at Noida Institute of Engineering & Technology, India. Her interests include Micro Finance, Sustainability, Macro Economic Variables, and Innovation Strategy. She has published multiple articles in various journals and presented papers in various conferences. At present, she is guiding four research scholars and serves as an Editor of International Journal of Advanced Trends in Technology, Management & Applied Science.
Dr. Balamurugan Balusamy is currently working as Associate Dean–Student Engagement in Shiv Nadar University, India. He has 15 years of experience in the field of computer science. His areas of interest are Internet of Things, Big data, Networking. He has published more than 100 papers and contributed multiple book chapters.
Prof. Seifedine Kadry focuses on Data Science, education using technology, system prognostics, stochastic systems, and applied mathematics. He is an ABET program evaluator for computing and ABET program evaluator for Engineering Tech. He is a Fellow of IET, Fellow of IETE, and Fellow of IACSIT. He is a distinguish speaker of IEEE Computer Society.
Dr. A. Yovan Felix has mentored students in the project areas of Big Data, Deep Learning, and Data Mining. He has published technical papers in national and international journals. He has over 17 years of experience and expertise in data analytics, smart prediction systems, and deep learning algorithms. He also coordinated in organizing several events at both national and international levels.
Dr. Balamurugan Balusamy is currently working as Associate Dean–Student Engagement in Shiv Nadar University, India. He has 15 years of experience in the field of computer science. His areas of interest are Internet of Things, Big data, Networking. He has published more than 100 papers and contributed multiple book chapters.
Prof. Seifedine Kadry focuses on Data Science, education using technology, system prognostics, stochastic systems, and applied mathematics. He is an ABET program evaluator for computing and ABET program evaluator for Engineering Tech. He is a Fellow of IET, Fellow of IETE, and Fellow of IACSIT. He is a distinguish speaker of IEEE Computer Society.
Dr. A. Yovan Felix has mentored students in the project areas of Big Data, Deep Learning, and Data Mining. He has published technical papers in national and international journals. He has over 17 years of experience and expertise in data analytics, smart prediction systems, and deep learning algorithms. He also coordinated in organizing several events at both national and international levels.
Textul de pe ultima copertă
Examine the synergistic possibilities of combining blockchain, IoT, and AI technologies in supply chain management. This book will address the difficulties and possibilities of integrating these technologies and offer helpful implementation advice.
The current state of supply chain management involves several challenges, including lack of transparency, limited visibility into product movements, inefficient inventory management, and difficulty in tracking and tracing products. Blockchain, IoT, and AI can potentially address some of these challenges and improve supply chain management.
To help illustrate this, case studies and actual instances of businesses implementing or experimenting with blockchain, IoT, and AI technology in their supply chains are included in the book. You’ll review helpful advice on implementation and highlight successful deployments, lessons learned, and the impact of these technologies on supply chain visibility, agility, sustainability, and customerexperience. This book further elaborates the fundamental concepts of AI and ML algorithms and demonstrates how AI can process enormous volumes of supply chain data to produce actionable insights, improve inventory control, forecast demand, and increase forecasting precision. This collective work will serve as a comprehensive guide for supply chain professionals, researchers, and technology enthusiasts interested in understanding the potential of blockchain, IoT, and AI technologies in revolutionizing supply chain management practices.
The current state of supply chain management involves several challenges, including lack of transparency, limited visibility into product movements, inefficient inventory management, and difficulty in tracking and tracing products. Blockchain, IoT, and AI can potentially address some of these challenges and improve supply chain management.
To help illustrate this, case studies and actual instances of businesses implementing or experimenting with blockchain, IoT, and AI technology in their supply chains are included in the book. You’ll review helpful advice on implementation and highlight successful deployments, lessons learned, and the impact of these technologies on supply chain visibility, agility, sustainability, and customerexperience. This book further elaborates the fundamental concepts of AI and ML algorithms and demonstrates how AI can process enormous volumes of supply chain data to produce actionable insights, improve inventory control, forecast demand, and increase forecasting precision. This collective work will serve as a comprehensive guide for supply chain professionals, researchers, and technology enthusiasts interested in understanding the potential of blockchain, IoT, and AI technologies in revolutionizing supply chain management practices.
Caracteristici
Provides comprehensive exploration of convergence of Blockchain, IoT, and AI for supply chain management Includes practical insights and case studies showcasing how organizations have implemented these technologies Promotes realistic understanding of implementation process and helps navigate potential obstacles