By Tina Pan, supervised by Robert A. Novack📧 (Thesis Supervisor) and John C. Spychalski📧 (Honors Advisor) (2020)
The resurgence of Artificial Intelligence (AI) and Machine Learning (ML) research has increased technological innovation. The field of Supply Chain Risk Management (SCRM) benefits from the increase in AI and ML tools and solutions, which provides a means to better identify, assess, mitigate, and manage supply chain risks. As organizations broaden and globalize their supply chains, they are introduced to new supply chain risks. Different forms of risks occur depending on the structure of an organization’s supply chain. As the types of risks vary, the solutions implemented to identify and manage risk will also vary. Currently, on the market, there are tools specialized in providing solutions to address risks in different segments of the supply chain. AI and ML can help organizations reshape their SCRM processes when used properly. The use of AI and ML may be a solution that works for one organization but may fail at another organization. This thesis analyzes the impact of AI and ML on SCRM by first defining AI, ML, and SCRM. The thesis will identify findings from interviews and research on these technologies and provide current tools and solutions available on the market.
Access the paper at Electronic Theses for Schreyer Honors College (ETDA) website here.