Enhancing Supply Chain Resilience Through Artificial Intelligence: Developing a Comprehensive Conceptual Framework for AI Implementation and Supply Chain Optimization

Meriem Riad (), Mohamed Naimi and Chafik Okar
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Meriem Riad: National School of Applied Sciences AMSAD Laboratory, Hassan 1st University Settat, Berrechid 26100, Morocco
Mohamed Naimi: National School of Applied Sciences AMSAD Laboratory, Hassan 1st University Settat, Berrechid 26100, Morocco
Chafik Okar: National School of Applied Sciences MCSDM Laboratory, Abdelmalek Essaâdi University Tetouan, Tetouan 93002, Morocco

Logistics, 2024, vol. 8, issue 4, 1-26

Abstract: Background : Amid growing global uncertainty and increasingly complex disruptions, the ability of supply chains to rapidly adapt and recover is critical. The incorporation of artificial intelligence (AI) into supply chain management represents a transformative strategy for enhancing resilience. By harnessing advanced AI technologies, such as machine learning, predictive analytics, and real-time data processing, organizations can more effectively anticipate, respond to, and recover from disruptions.AI improves demand forecasting accuracy, optimizes inventory management, and increases real-time visibility across the supply chain, reducing the risks of stockouts and surplus inventory. Furthermore, I-driven automation and robotics enhance operational efficiency by minimizing human error and streamlining processes. Methodology/Approach : This paper proposes a conceptual framework for strengthening supply chain resilience through AI integration. The framework leverages AI technologies to improve key aspects of supply chain resilience, including risk management, operational efficiency, and real-time visibility. Result/Conclusions : Additionally, it underscores the importance of collaborative relationships with supply chain partners, enabled by AI-powered data-sharing and communication tools that foster trust and coordination within the network. Originality/Value : This comprehensive framework offers a strategic approach to integrating AI into supply chain management, highlighting its potential to significantly enhance resilience, operational efficiency, and sustainability, thereby empowering organizations to navigate the complexities of modern supply chains more effectively.

Keywords: artificial intelligence technologies; conceptual framework; mixed-methods approach; supply chain resilience (search for similar items in EconPapers)
JEL-codes: L8 L80 L81 L86 L87 L9 L90 L91 L92 L93 L98 L99 M1 M10 M11 M16 M19 R4 R40 R41 R49 (search for similar items in EconPapers)
Date: 2024
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Citations: View citations in EconPapers (1)

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