05445nam a22005895i 4500 979-8-8688-0315-4 DE-He213 20251030112706.0 cr nn 008mamaa 240801s2024 xxu| s |||| 0|eng d 9798868803154 979-8-8688-0315-4 10.1007/979-8-8688-0315-4 doi QA76.9.B56 URY bicssc UN bicssc COM093000 bisacsh URY thema UN thema Blockchain, IoT, and AI Technologies for Supply Chain Management [electronic resource] : Apply Emerging Technologies to Address and Improve Supply Chain Management / edited by Dr. Veena Grover, Dr. B. Balamurugan Balusamy, Dr. Mariofanna Milanova, Dr. A. Yovan Felix. 1st ed. 2024. Berkeley, CA : Apress : Imprint: Apress, 2024. XXII, 544 p. 58 illus. online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda 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. 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. Blockchains (Databases). 57815 Internet of things. 58845 Artificial intelligence. 58441 Blockchain. 66204 Internet of Things. 58845 Artificial Intelligence. 58441 Grover, Dr. Veena. editor. edt http://id.loc.gov/vocabulary/relators/edt 81770 Balusamy, Dr. B. Balamurugan. editor. edt http://id.loc.gov/vocabulary/relators/edt 81771 Milanova, Dr. Mariofanna. editor. edt http://id.loc.gov/vocabulary/relators/edt 81772 Felix, Dr. A. Yovan. editor. edt http://id.loc.gov/vocabulary/relators/edt 81773 SpringerLink (Online service) Springer Nature eBook Printed edition: 9798868803147 Printed edition: 9798868803161 Printed edition: 9798868810930 https://doi.org/10.1007/979-8-8688-0315-4 ZDB-2-CWD ZDB-2-SXPC 62165 62165