Hybrid AI and Multi-Criteria Decision-Making for Predicting and Managing Supply Chain Disruptions: A Systematic Literature Review

Key Points

• This review aims to explore effective AI and decision-making approaches for predicting supply chain disruptions.
• Conducted a systematic literature review on AI methods and decision-making techniques in supply chains.
• Analyzed various studies and methodologies presented for managing disruptions.
• Identified trends and gaps in the literature regarding the effectiveness of these techniques.
• Found that hybrid AI approaches improve prediction accuracy for supply chain disruptions.
• Highlighted several multi-criteria decision-making frameworks aiding in disruption management.
• Identified a need for integrated solutions combining AI and decision-making strategies for real-world applications.