AI for Supply Chain Risk Management - 2026_IDR_DIG_3
Posted on: 02/02/2026
Deadline: 05/03/2026
Scientific-Disciplinary Group
09/IEGE-01 - Business And Management Engineering
Description
Supply Chains today are exposed to multiple risks, including for example logistic disruption, supplier bankrupcy, cyberthreats, geopolitical distress, etc. Identifying, assessing, managing and monitoring such risks requires gathering and analysing multiple diverse sources of information with a high frequency and speed. Artificial Intelligence can contribute to improve the supply chain risk management capability of firms, but this is still a very new area of adoption which needs to be investigated further. The research program will analyze the capabilities and the functionalities of AI based solutions for supply chain risk management, their strengths and weaknesses, and the adoption process, to understand the potential benefits and the challenges. The research methods will include literature review, case studies and focus groups.
Job posting website
Number of positions
1
Funding body
Politecnico di Milano
View the original posting on the MUR website: Go to MUR website