Predicting supply chain risks using machine learning: The trade-off between performance and interpretability

Research output

Research output per year 2024 2024 2024

• 186 Citations
• 1 Article
• 1 Conference article
• 1 Review article

Research output per year

Research output per year

Search results

• 2024

  A review of explainable artificial intelligence in supply chain management using neurosymbolic approaches

  Kosasih, E., Papadakis, E., Baryannis, G. & Brintrup, A., 1 Feb 2024, In: International Journal of Production Research. 62, 4, p. 1510-1540 31 p.

  Research output: Contribution to journal › Review article › peer-review

  Open Access
  7 Citations (Scopus)

• Artificial Intelligence Opportunities for Resilient Supply Chains

  Sunmola, F. & Baryannis, G., 9 Oct 2024, In: IFAC-PapersOnLine. 58, 19, p. 813-818 6 p.

  Research output: Contribution to journal › Conference article › peer-review

  Open Access

• Using MCDM Methods to Optimise Machine Learning Decisions for Supply Chain Delay Prediction: A Stakeholder-centric Approach

  Wyrembek, M. & Baryannis, G., 1 Apr 2024, In: Logforum. 20, 2, p. 175-189 15 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access
  4 Citations (Scopus)