AI-Powered Supply Chains

Balancing Risk, Reliability, and Sustainability
Erscheinungsjahr 2027
ISBN: 978-0-443-44869-0
Verlag: Elsevier Science & Technology

Buch, Englisch, Format (B × H): 152 mm x 229 mm, Gewicht: 450 g

AI-Powered Supply Chains: Balancing Risk, Reliability, and Sustainability explores tools and techniques for assessing risk, reliability, resilience, and sustainability in Supply Chain Management. As business operations become more complex and globalized, understanding these factors is crucial for informed decision-making and reducing risk. Recent technological advancements—such as AI, machine learning, data analytics, IoT, and blockchain—offer innovative methods for improving visibility and sustainability in supply chains. Additionally, the COVID-19 pandemic has underscored the importance of effective risk management and resilience strategies.

AI-Powered Supply Chains: Balancing Risk, Reliability, and Sustainability provides a comprehensive overview of measurement techniques, their real-world applications, and insights into future developments in the field.

Autoren/Hrsg.

Prakash, Surya

Soni, Gunjan

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Mensch-Maschine-Interaktion
• Technische Wissenschaften Elektronik | Nachrichtentechnik Nachrichten- und Kommunikationstechnik Regelungstechnik
• Technische Wissenschaften Maschinenbau | Werkstoffkunde Maschinenbau
• Technische Wissenschaften Technik Allgemein Technik: Allgemeines
• Technische Wissenschaften Elektronik | Nachrichtentechnik Elektronik Robotik
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz

Inhaltsverzeichnis

Section 1: Foundations of AI in Supply Chains
1. Introduction to AI-Powered Supply Chains
2. Fundamentals of AI and Machine Learning for Supply Chains
3. The Triad of Risk, Reliability, and Sustainability

Section 2: AI Applications in Supply Chain Management
4. Demand Forecasting and Inventory Optimization
5. AI for Supply Chain Visibility and Traceability
6. AI in Logistics and Transportation
7. Supplier Selection and Risk Management

Section 3: Challenges and Risks in AI-Powered Supply Chains
8. Data Challenges in AI-Driven Supply Chains
9. Ethical and Social Implications of AI in SCM
10. Managing Risks by AI Implementation

Section 4: The Future of AI-Powered Resilient Supply Chains
11. Emerging Trends in AI and Resilient Supply Chain
12. Sustainability-Driven AI Solutions
13. Case Studies and Lessons Learned
14. Conclusion o Summary of key insights

Über Autor(innen)

Soni, Gunjan
Dr. Gunjan Soni holds B.E. (Mechanical Engineering) from The University of Rajasthan, M. Tech. (Industrial Engineering) from IIT-Delhi and PhD (Industrial Engineering) from Birla Institute of Technology, Pilani. He is having 19 years of experience and is now serving as an Associate professor (Department of Mechanical Engineering along with Joint faculty at Department of Artificial Intelligence and Data Engineering). At MNIT Jaipur he has developed several new courses such as Applied Machine Learning, Six Sigma, Artificial Intelligence in Manufacturing Systems,

Applied Probability and Statistics at UG and PG level. He has also established Intelligent Automation and Robotics Lab in the Department of Mechanical Engineering. He has published more than 120 papers in various international journals. He has guided 12 PhDs and over 24 Masters’ theses. He is doing four research projects in which two are international and other two are at national level. His major research contributions are in the areas of supply chain optimization, predictive maintenance, and AI applications in manufacturing systems.

Prakash, Surya
Dr. Surya Prakash is Associate Professor, Operations Management at Great Lakes Institute of Management, Gurugram, India. He has rich experience of teaching and research at BML Munjal University, IIHMR University Jaipur. He received his Ph.D. in Supply Chain Management from Malaviya National Institute of Technology, Jaipur, India, and master’s in manufacturing systems from the Birla Institute of Technology and Science, Pilani, Rajasthan, India. Dr. Prakash has published research articles in leading OM and SCM journals. He has edited book on risk and reliability in operations management and led FDPs, MDPs and funded research projects. His research interests include supply chain management, network design, robust optimization, Industry 4.0, and decision making in operations management.