Quantum Computing and Artificial Intelligence in Logistics and Supply Chain Management
Chapman & Hall/CRC (Verlag)
978-1-032-79811-0 (ISBN)
This book discusses the transformative potential of quantum computing in reshaping the landscape of supply chain management. It bridges the gap between these two dynamic fields, offering a comprehensive guide to the application of quantum principles in supply chain operations. Through detailed examples and case studies, it highlights how quantum computing can tackle industry-specific issues, such as managing global supply chain disruptions, enhancing production schedules, and enabling real-time decision-making. This book is for researchers, professionals, and technologists interested in quantum computing and supply chain practices.
Features:
Provides an in-depth analysis of quantum computing technologies and their capacity to solve complex optimisation problems at scales unimaginable with traditional computing
Examines the impact of quantum computing on manufacturing and logistics, with a focus on sectors such as automotive and aerospace
Real-world scenarios illustrate how quantum solutions can streamline operations and drive efficiency
Explores quantum algorithms and their use in addressing challenges like route optimisation, inventory management, and demand forecasting, offering strategies to reduce costs and improve resilience
Considers the current limitations, ethical implications, and the path to widespread adoption of quantum computing in supply chains, emphasising the need for interdisciplinary collaboration
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.
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Purushottam Maramamula, Amjan Shaik
Quantum Machine Learning for Predictive Analytics in Consumer Electronics
Bindiya Jain, Udit Mamodiya
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
Quantum Advancements in Logistics: Transforming Operations through Integrated Quantum Computing
Manisha Singh, Purvee Bhardwaj, Ramakant Bhardwaj, Satyendra Narayan
Exploring the Use of Quantum Algorithms for Logistics Optimization
Arnav Sonavane, Amit Aylani
Quantum Computing in Risk Management and Supply-Chain Resilience
Jayanta Biswas, Maad M. Mijwil, Laith Farhan, Hussein Alkattan
Quantum-Driven Real-Time Object-Detection Systems
Seema Kaloria, Indrajit Ghosal, Narayanage Jayantha Dewasiri
Quantum-Enhanced Feature Extraction for Smart Logistics and Transportation Systems
Akshat Bokdia, Nitin Lodha, V. Vijayarajan
Vehicle Load Optimization in Smart Logistics
Abhik Patra, Pronaya Bhattacharya, Pushan Kumar Dutta, Khder Alakkari
Quantum-Enhanced Customer Retention: Leveraging Predictive Analytics for Optimized Supply-Chain Strategies
Rajesh Saturi, Rahul Siripothula, Zuha Siddiqui, Rachamalla Nikhitha
Industry 4.0 and Supply-Chain Sustainability: Insights from Case Studies
Hoang Chi Cuong, Vinh Thai, Álvaro Rocha, Khoa Nguyen
Quantifying the Digital Frontier: Frameworks and Challenges in Measuring the Digital Economy
Gurpreet Kaur
Quantum Computing and Personalized Digital Marketing: Pioneering the Future of Hyper-Personalized Customer Engagement
Madhusudan Narayan, Ashok Kumar Srivastava, Ashutosh Sharma
Quantum Leap in Quick Commerce: Harnessing Quantum Computing for Sustainable and Efficient Logistics
K. V. Haneefa, Amr Badr
Innovative Approaches to Secure Communication for Smart Logistics
Özen Özer, Nadir Subaşı, Emrehan Taşkın
Energy Harvesting for IoT in Logistics
Imran Khan Patan, Sudhakaru Komera
Mathematics and Statistics in Quantum Computing: Advancing Cybersecurity for Modern Supply Chains
Rashmi Singh, Ruchira Singla, Amir Abdelwahed
Quantum-Blockchain Scheme in Fraud Detection and Risk-Management Resilience
Suman Majumder, Hussein Alkattan, Hamideza Rabiei Dastjerdi
Sustainable Farming Systems in Smart Logistics
M. S. Gill, Christo Ananth, Rakhmanov Buribay, Mohammad Shahparan
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
How Quantum Computing Powers the Future of Artificial Intelligence
Rishabh Anand
| Erscheinungsdatum | 22.07.2025 |
|---|---|
| Reihe/Serie | Advances in Digital Technologies for Smart Applications |
| Zusatzinfo | 20 Tables, black and white; 51 Line drawings, black and white; 60 Halftones, black and white; 111 Illustrations, black and white |
| Sprache | englisch |
| Maße | 156 x 234 mm |
| Gewicht | 1040 g |
| Themenwelt | Mathematik / Informatik ► Informatik ► Theorie / Studium |
| Wirtschaft ► Betriebswirtschaft / Management ► Logistik / Produktion | |
| Wirtschaft ► Betriebswirtschaft / Management ► Marketing / Vertrieb | |
| ISBN-10 | 1-032-79811-4 / 1032798114 |
| ISBN-13 | 978-1-032-79811-0 / 9781032798110 |
| Zustand | Neuware |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
| Haben Sie eine Frage zum Produkt? |
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