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Interactive checklist for every phase of your thesis
1. Introduction 2. Background of Artificial Intelligence 2.1 Definition and Concepts 2.2 Historical Development 2.3 Current Applications in Industry 3. Overview of Global Supply Chains 3.1 Structure and Characteristics 3.2 Key Players and Stakeholders 3.3 Challenges in Current Systems 4. Role of AI in Supply Chain Resilience 4.1 Enhancing Predictive Capabilities 4.2 Risk Management and Mitigation 4.3 Case Studies: Success and Failures 5. Contributions of AI to Supply Chain Efficiency 5.1 Optimization of Operations 5.2 Real-time Data Processing 5.3 Impact on Cost Reduction 6. Technological Developments Supporting AI 6.1 Machine Learning Techniques 6.2 Blockchain Integration 6.3 IoT Devices in Supply Chains 7. Challenges and Limitations of AI Implementation 7.1 Ethical and Privacy Concerns 7.2 Technical Barriers and Limitations 7.3 Economic and Cultural Impacts 8. Future Trends and Research Directions 8.1 Emerging AI Technologies 8.2 Predictive Analytics Opportunities 8.3 Policy and Regulatory Frameworks 9. Conclusion
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