Evaluating the Impact of Artificial Intelligence on Sustainable Supply Chain Practices in Industrial Engineering

1. Introduction 1.1 Background and Motivation 1.2 Objectives of the Study 1.3 Research Questions 1.4 Structure of the Thesis 2. Literature Review 2.1 Definition of Artificial Intelligence 2.2 Sustainable Supply Chain Practices 2.3 Industrial Engineering Context 2.4 Previous Research and Findings 3. Methodology 3.1 Research Design 3.2 Data Collection Techniques 3.3 Analytical Framework 3.4 Limitations of the Study 4. AI Technologies in Supply Chains 4.1 Machine Learning and Forecasting 4.2 Automation and Robotics Integration 4.3 Decision Support Systems 4.4 Role of Big Data 5. Impact Assessment Framework 5.1 Environmental Impact Criteria 5.2 Economic Performance Indicators 5.3 Social Implications Analysis 5.4 Tools and Metrics Used 6. Case Studies 6.1 Implementation in Manufacturing 6.2 Logistics and Distribution Improvements 6.3 Comparison Across Different Industries 6.4 Success Stories and Challenges 7. Results and Discussion 7.1 Findings on Environmental Sustainability 7.2 Economic Benefits Observed 7.3 Insights into Social Responsibility 7.4 Discussion on Unexpected Outcomes 8. Conclusion and Recommendations 8.1 Summary of Key Findings 8.2 Recommendations for Industry Stakeholders 8.3 Future Research Directions 8.4 Final Remarks