Research Objective:
This research focuses on using the great capacity of Artificial Intelligence (AI) methods to design a Supply Chain Risk Management (SCRM) framework to increase the resiliency of the Supply Chain Network (SCN). Using AI in the SCRM process helps to predict and prevent the risks proactively. In addition, Counterfactual Explanation, which is one of the novel methods in Explainable AI (XAI), is used to propose recommendations for risk mitigation. To design an SCN model, mathematical optimisation models are utilised to consider all aspects of the SCN.
The expected outcome of this research is a proactive SCRM framework in which risks are monitored in real-time and avoided proactively.
Project date: Started May 2022, expecting to submit a thesis in December 2024.
Achievement:
- Ordibazar, A.H., Hussain, O.K, & Saberi, M. (2021). A Recommender System and Risk Mitigation Strategy for Supply Chain Management Using the Counterfactual Explanation Algorithm, The 19th International Conference on Service-Oriented Computing, November 2021.
Student: Amir Hossein Ordibazar
Supervisors: Omar K Hussain and Ripon K Chakrabortty
