Quantum Computing and Artificial Intelligence in Logistics and Supply Chain Management

Preface

Editor Biographies

List of Contributors

1. Artificial Intelligence in Supply-Chain Management
A. Vasumathi, Abdul Razak, Geetha Manoharan

2. 3D Object Classification in Digital Supply Chains
Lalitha Swamy Thayumanavar, Sukumar Nandi, Bunil Kumar Balabantaray

3. AI-Enhanced Forensics in Smart Logistics
Purushottam Maramamula, Amjan Shaik

4. Quantum Machine Learning for Predictive Analytics in Consumer Electronics
Bindiya Jain, Udit Mamodiya

5. Optimizing Customer Value through Hybrid Supply-Chain Strategies: A Comprehensive Exploration of Lean & Agile Approaches
M. Robinson Joel, V. Ebenezer, S. Stewart Kirubakaran, E. Bijolin Edwin, Roshni Thanka

6. Quantum Advancements in Logistics: Transforming Operations through Integrated Quantum Computing
Manisha Singh, Purvee Bhardwaj, Ramakant Bhardwaj, Satyendra Narayan

7. Exploring the Use of Quantum Algorithms for Logistics Optimization
Arnav Sonavane, Amit Aylani

8. Quantum Computing in Risk Management and Supply-Chain Resilience
Jayanta Biswas, Maad M. Mijwil, Laith Farhan, Hussein Alkattan

9. Quantum-Driven Real-Time Object-Detection Systems
Seema Kaloria, Indrajit Ghosal, Narayanage Jayantha Dewasiri

10. Quantum-Enhanced Feature Extraction for Smart Logistics and Transportation Systems
Akshat Bokdia, Nitin Lodha, V. Vijayarajan

11. Vehicle Load Optimization in Smart Logistics
Abhik Patra, Pronaya Bhattacharya, Pushan Kumar Dutta, Khder Alakkari

12. Quantum-Enhanced Customer Retention: Leveraging Predictive Analytics for Optimized Supply-Chain Strategies
Rajesh Saturi, Rahul Siripothula, Zuha Siddiqui, Rachamalla Nikhitha

13. Industry 4.0 and Supply-Chain Sustainability: Insights from Case Studies
Hoang Chi Cuong, Vinh Thai, Álvaro Rocha, Khoa Nguyen

14. Quantifying the Digital Frontier: Frameworks and Challenges in Measuring the Digital Economy
Gurpreet Kaur

15. Quantum Computing and Personalized Digital Marketing: Pioneering the Future of Hyper-Personalized Customer Engagement
Madhusudan Narayan, Ashok Kumar Srivastava, Ashutosh Sharma

16. Quantum Leap in Quick Commerce: Harnessing Quantum Computing for Sustainable and Efficient Logistics
K. V. Haneefa, Amr Badr

17. Innovative Approaches to Secure Communication for Smart Logistics
Özen Özer, Nadir Subaşı, Emrehan Taşkın

18. Energy Harvesting for IoT in Logistics
Imran Khan Patan, Sudhakaru Komera

19. Mathematics and Statistics in Quantum Computing: Advancing Cybersecurity for Modern Supply Chains
Rashmi Singh, Ruchira Singla, Amir Abdelwahed

20. Quantum-Blockchain Scheme in Fraud Detection and Risk-Management Resilience
Suman Majumder, Hussein Alkattan, Hamideza Rabiei Dastjerdi

21. Sustainable Farming Systems in Smart Logistics
M. S. Gill, Christo Ananth, Rakhmanov Buribay, Mohammad Shahparan

22. Characterization and Prediction of Coating Thickness on Mild-Steel Plate Using a Quantum Fuzzy Inference System
Rahul Soni, Dipali Pandya, Viren Parikh, Sherif S. M. Ghoneim

23. How Quantum Computing Powers the Future of Artificial Intelligence
Rishabh Anand

Biography

Pushan Kumar Dutta is an Assistant Professor at Amity University, Kolkata, India. He holds a Ph.D. and specialises in Electronics and Communication Engineering, AI, and digital transformation. He has edited over 30 books and contributed extensively to research on Industry 4.0/5.0, AI in healthcare, IoMT, quantum computing, and digital manufacturing. As Series Editor for "Sustainable Industrial Engineering Systems," he has published in predictive analytics, edge computing, and data mining, with a focus on smart healthcare and earthquake studies. A recipient of the Venus International Faculty Award (2018), he holds two patents and has been recognised as a “Mentor of Change” by NITI Aayog.

Pronaya Bhattacharya is an Associate Professor in the Computer Science and Engineering Department at Amity School of Engineering and Technology, Amity University, Kolkata, India. He holds a Ph.D. from Dr. A. P. J. Abdul Kalam Technical University, Lucknow, India. With over 10 years of academic experience, he has authored more than 140 research papers in SCI journals and IEEE conferences. His research focuses on healthcare analytics, optical switching, federated learning, blockchain, and IoT. Dr Bhattacharya is listed among the top 2% of scientists by Stanford University.

Jai Prakash Verma is an Associate Professor in the Computer Science and Engineering Department at the Institute of Technology, Nirma University, India. He holds a Ph.D. from Charusat University, Changa, India. Specialising in Data Mining, Big Data Analytics, and Machine Learning, he has contributed extensively to research through conferences and journal publications. A recognised PhD guide, he currently supervises three PhD scholars and coordinates training programs for Indian Navy officers and ISRO scientists.

Ashok Chopra is the Registrar and Program Chair for Ph.D. at Amity University Dubai and an Associate Professor at Amity Business School, Dubai, UAE. He holds a Ph.D. and has over 25 years of international industry experience as an academician and corporate trainer. Holding significant administrative roles, he has contributed to research through papers, articles, and books. His expertise includes teaching, training, and designing learning environments for diverse educational backgrounds.

Neel Kanth Kundu is an Assistant Professor at the Centre for Applied Research in Electronics, Indian Institute of Technology Delhi, India. He holds a Ph.D. from The Hong Kong University of Science and Technology (HKUST). His research focuses on signal processing for 6G wireless communications, quantum communications, and quantum information processing. He has held postdoctoral positions at HKUST and The University of Melbourne and has received the INSPIRE Young Faculty Fellowship and the Hong Kong Ph.D. Fellowship.

Khursheed Aurangzeb is an Associate Professor in the Department of Computer Engineering at the College of Computer and Information Sciences, King Saud University, Riyadh, Saudi Arabia. He holds a Ph.D. in Electronics Design from Mid Sweden University, Sweden. With over 17 years of experience in data analytics, machine learning, and embedded systems, he has authored over 90 publications and led multiple research projects. His research focuses on embedded systems, signal processing, and machine learning applications in smart grids, precision agriculture, and healthcare.