Application of Hybrid AI Models in Supply Chain Recovery and Resilience Management

Key Points

• The central aim is to explore how hybrid AI models can improve supply chain recovery and resilience management.
• Utilized hybrid AI models combining machine learning techniques and traditional methods.
• Analyzed various supply chain scenarios to assess effectiveness.
• Evaluated resilience metrics before and after implementing the AI models.
• Identified significant improvements in recovery times across multiple scenarios.
• Observed enhanced resilience capabilities in supply chain processes.
• Quantified efficiency gains that support better decision-making in crisis situations.

Abstract