1st Edition

Artificial Intelligence for Sustainable Supply Chain Management

360 Pages 45 B/W Illustrations
by CRC Press

The integration of Artificial Intelligence (AI) into supply chain management (SCM) is transforming traditional operations into intelligent, resilient, and sustainable ecosystems. This book explores the application of AI-driven models to enhance decision-making, optimize logistics, and minimize environmental impact across various stages of the supply chain. Emphasis is placed on how machine... Read more

Chapter 1. AI and Blockchain-IoT (BIoT) for Supply Chain Sustainability
Umaselvi Muthusamy

Chapter 2. Integrating Artificial Intelligence and Blockchain-IoT for Sustainable Supply Chain Practices
Usharani Selvaraj, Manju Bala Perumal, Rajkumar Kotteswaran, Rajesh Rangan

Chapter 3. Redefining Efficiency and Resilience in Supply Chain Management
Kavana , Mounika S Shetty, Ravi Prakash , Rama Moorthy Hejamadi

Chapter 4. Explainable AI for All: Sustainable Supply Chains and Inclusive Accessibility for Persons with Disabilities
Balaji Venkatesan, Thiruselvan Subramanian, Huay Ling Tay, Dhanalakshmi Hari

Chapter 5. Resilient and Sustainable Supply Chains: Leveraging AI and IoT for Real-Time Risk Intelligence
Galiveeti Poornima, Sukruth Gowda

Chapter 6. Ethical and Social Implications of AI in Sustainable Supply Chain Management
Shreya , Anushree, Ravi Prakash , Rama Moorthy Hejamadi

Chapter 7. Responsible AI and Blockchain-Based Smart Contracts for Industries
Saravanan Chinnappan, Sanjay Mallenahalli Basavaraj

Chapter 8. The Evolution of Supply Chains and the Role of Blockchain in Transforming Transparency, Trust, and Efficiency
Chandrani Chakravorty, Mohammad Ayyan A Shaikh , Divya Tarikere Lokeshwara

Chapter 9. Blockchain and IoT: Successful Enablers of Sustainable Food Supply Chain
Yuvaraj Mohanselvam, Richa Choudhary

Chapter 10. Deep Learning based Barcode and Quick Response code Recognition for Real-Time Supply Chain Management applications
Gakalakshmi Kumar, Saravanan Somasundaram

Chapter 11. Revolutionizing Supply Chain Management with AI-Driven Digital Twin Networks in 6G Era
Afsha Anjum, Saravanan Chinnappan

Biography

N. Nasurudeen Ahamed received his Bachelor’s Degree in Computer Science and Engineering, followed by a Master’s Degree in Computer Science and Engineering. He also earned a PhD in Computer Science and Engineering. Currently, he serves as a postdoctoral fellow at the United Arab Emirates University, UAE. He has accumulated 11 years of teaching experience. His research interests are diverse, encompassing areas such as Blockchain, Cybersecurity, Supply Chain Management, and Industry 4.0.

P. Karthikeyan is currently working as an Associate Professor in SoCSE at RV University, Bangalore, India. He possesses a high level of proficiency in project development and research, specializing in the domains of Cloud computing and the practical application of deep learning. He is well-versed in programming languages, including Java, Python, R, and C.

Polinpapilinho F. Katina is an Associate Professor in the Department of Informatics and Engineering Systems at the University of South Carolina Upstate (Spartanburg, South Carolina, USA). His areas of research/teaching interests include, among others, Complex System Governance, Critical Infrastructure Systems, Decision Making and Analysis (under uncertainty), Emerging Technologies, Energy Systems (Smart Grids), Engineering Management, Infranomics, Manufacturing Systems, System-of-Systems, Systems Engineering, Systems pathology, and Systems Thinking.