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

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Yes, you can access Quantum Computing and Artificial Intelligence in Logistics and Supply Chain Management by Pushan Kumar Dutta,Pronaya Bhattacharya,Jai Prakash Verma,Ashok Chopra,Neel Kanth Kundu,Khursheed Aurangzeb in PDF and/or ePUB format, as well as other popular books in Business & Operations. We have over one million books available in our catalogue for you to explore.

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Cover
Half-Title
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Contents
Preface
Editors
Contributors
1 Artificial intelligence in supply chain management
2 3D object classification in digital supply chains
3 AI-enhanced forensics in smart logistics
4 Quantum machine learning for predictive analytics in consumer electronics
5 Optimizing customer value through hybrid supply chain strategies: A comprehensive exploration of lean, agile approaches
6 Quantum advancements in logistics: Transforming operations through integrated quantum computing
7 Exploring the use of quantum algorithms for logistics optimization
8 Quantum computing in risk management and supply chain resilience
9 Quantum-driven real-time object detection systems
10 Quantum-enhanced feature extraction for smart logistics and transportation systems
11 Vehicle load optimization in smart logistics
12 Quantum-enhanced customer retention: Leveraging predictive analytics for optimized supply chain strategies
13 Industry 4.0 and supply chain sustainability: Insights from case studies
14 Quantifying the digital frontier: Frameworks and challenges in measuring the digital economy
15 Quantum computing and personalized digital marketing: Pioneering the future of hyper-personalized customer engagement
16 Quantum leap in quick commerce: Harnessing quantum computing for sustainable and efficient logistics
17 Innovative approaches to secure communication for smart logistics
18 Energy harvesting for IoT in logistics
19 Mathematics and statistics in quantum computing: Advancing cybersecurity for modern supply chains
20 Quantum-blockchain scheme in fraud detection and risk management resilience
21 Sustainable farming systems in smart logistics
22 Characterization and prediction of coating thickness on mild steel plate using quantum fuzzy inference system
23 How quantum computing powers the future of artificial intelligence
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About this book

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Table of contents