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Building supply-chain resilience: an artificial intelligence-based technique and decision-making framework

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  • Amine Belhadi
  • Sachin Kamble
  • Samuel Fosso Wamba
  • Maciel M. Queiroz

Abstract

Artificial Intelligence (AI) offers a promising solution for building and promoting more resilient supply chains. However, the literature is highly dispersed regarding the application of AI in supply-chain management. The literature to date lacks a decision-making framework for identifying and applying powerful AI techniques to build supply-chain resilience (SCRes), curbing advances in research and practice on this interesting interface. In this paper, we propose an integrated Multi-criteria decision-making (MCDM) technique powered by AI-based algorithms such as Fuzzy systems, Wavelet Neural Networks (WNN) and Evaluation based on Distance from Average Solution (EDAS) to identify patterns in AI techniques for developing different SCRes strategies. The analysis was informed by data collected from 479 manufacturing companies to determine the most significant AI applications used for SCRes. The findings show that fuzzy logic programming, machine learning big data, and agent-based systems are the most promising techniques used to promote SCRes strategies. The study findings support decision-makers by providing an integrated decision-making framework to guide practitioners in AI deployment for building SCRes.

Suggested Citation

  • Amine Belhadi & Sachin Kamble & Samuel Fosso Wamba & Maciel M. Queiroz, 2022. "Building supply-chain resilience: an artificial intelligence-based technique and decision-making framework," International Journal of Production Research, Taylor & Francis Journals, vol. 60(14), pages 4487-4507, July.
    • Handle: RePEc:taf:tprsxx:v:60:y:2022:i:14:p:4487-4507
    DOI: 10.1080/00207543.2021.1950935
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    Cited by:

    1. Chowdhury, Soumyadeb & Ren, Shuang & Richey, Robert Glenn, 2025. "Leveraging artificial intelligence to facilitate green servitization: Resource orchestration and Re-institutionalization perspectives," International Journal of Production Economics, Elsevier, vol. 281(C).
    2. Shoufeng Ji & Pengyun Zhao & Tingting Ji, 2023. "A Hybrid Optimization Method for Sustainable and Flexible Design of Supply–Production–Distribution Network in the Physical Internet," Sustainability, MDPI, vol. 15(7), pages 1-34, April.
    3. Al-khatib, Ayman wael & AL-Shboul, Moh'd Anwer & Khattab, Mais, 2024. "How can generative artificial intelligence improve digital supply chain performance in manufacturing firms? Analyzing the mediating role of innovation ambidexterity using hybrid analysis through CB-SE," Technology in Society, Elsevier, vol. 78(C).
    4. Arpit Singh & Ashish Dwivedi & Dindayal Agrawal & Anurag Chauhan, 2024. "A framework to model the performance indicators of resilient construction supply chain: An effort toward attaining sustainability and circular practices," Business Strategy and the Environment, Wiley Blackwell, vol. 33(3), pages 1688-1720, March.
    5. Taiwen Feng & Zhihui Si & Wenbo Jiang & Jianyu Tan, 2024. "Supply chain transformational leadership and resilience: the mediating role of ambidextrous business model," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-12, December.
    6. James Adu Peprah & John Amoah & Kofi Kwarteng & Abdul Bashiru Jibril & Taimur Sharif, 2025. "Artificial intelligence and additive manufacturing for resilient supply chain in Africa: A systematic literature review," Future Business Journal, Springer, vol. 11(1), pages 1-12, December.
    7. Wang, Weizhong & Chen, Yu & Wang, Yi & Deveci, Muhammet & Cheng, Shuping & Brito-Parada, Pablo R., 2024. "A decision support framework for humanitarian supply chain management – Analysing enablers of AI-HI integration using a complex spherical fuzzy DEMATEL-MARCOS method," Technological Forecasting and Social Change, Elsevier, vol. 206(C).
    8. Simon Kaggwa & Tobechukwu Francisa Eleogu & Franciscamary Okonkwo & Oluwatoyin Ajoke Farayola & Prisca Ugomma Uwaoma & Abiodun Akinoso, 2024. "AI in Decision Making: Transforming Business Strategies," International Journal of Research and Scientific Innovation, International Journal of Research and Scientific Innovation (IJRSI), vol. 10(12), pages 423-444, January.
    9. Logožar, Klavdij, 2025. "The role of Artificial Intelligence in Supply Chain Management: A systematic Literature Review," Proceedings of the ENTRENOVA - ENTerprise REsearch InNOVAtion Conference (2024), Hybrid Conference, Dubrovnik, Croatia, in: Proceedings of the ENTRENOVA - ENTerprise REsearch InNOVAtion Conference, Hybrid Conference, Dubrovnik, Croatia, 5-7 September, 2024, pages 328-337, IRENET - Society for Advancing Innovation and Research in Economy, Zagreb.
    10. Manikandan Rajagopal & Ramkumar Sivasakthivel, 2024. "An Empirical Framework Using Weighted Feed Forward Neural Network for Supply Chain Resilience (SCR) Strategy Selection," SN Operations Research Forum, Springer, vol. 5(2), pages 1-19, June.
    11. Talaei-Khoei, Amir & Yang, Alan T. & Masialeti, Masialeti, 2024. "How does incorporating ChatGPT within a firm reinforce agility-mediated performance? The moderating role of innovation infusion and firms’ ethical identity," Technovation, Elsevier, vol. 132(C).
    12. Hind Aboussikine & Sonia Bendimerad & Thierry Sauvage & Mohamed Haouari, 2023. "Comment l’Intelligence Artificielle dompte la traçabilité des processus Supply Chain ? Application à NOZ France," Post-Print hal-04536092, HAL.
    13. Wang, Weizhong & Chen, Yu & Zhang, Tinglong & Deveci, Muhammet & Kadry, Seifedine, 2024. "The use of AI to uncover the supply chain dynamics of the primary sector: Building resilience in the food supply chain," Structural Change and Economic Dynamics, Elsevier, vol. 70(C), pages 544-566.
    14. Shuyi Niu & Xiaodong Yang & Huili Li & Jiayu Zhang, 2025. "Evaluation of smart community resilience: empirical evidence from Heilongjiang province, China," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 27(6), pages 14437-14467, June.
    15. Mahmoud Z. Mistarihi & Ghazi M. Magableh, 2023. "Prioritization of Supply Chain Capabilities Using the FAHP Technique," Sustainability, MDPI, vol. 15(7), pages 1-19, April.
    16. repec:zib:zbbedc:v:2:y:2024:i:1:p:87-92 is not listed on IDEAS

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