Exploring the Potential of Process Mining Technology in Supply Chain Management

My PhD research explores applications of process mining technology in the field of supply chain management. I am collaborating with Celonis, a leading developer of process mining software, and Freudenberg, a global manufacturing company providing data. My research plan is divided into three projects. First, I derive specific use cases for process mining in SCM through a literature review and expert interviews. Then, I dive into two selected use cases and investigate how process mining can be applied to real data of global supply chain operations to gain new insights beyond the current state of advanced analytics use in the SCM community.

Fynn Oldenburg started his PhD studies at KLU in June 2023 under the supervision of Prof. Dr. Kai Hoberg and Prof. Dr. Henrik Leopold. His research focuses on exploring applications of process mining technology in supply chain management. Fynn graduated from KLU in 2020 with a Bachelor's degree in Business Administration. He holds a Master's degree in Business Analytics from NOVA School of Business & Economics in Lisbon, Portugal. During his studies, he worked at Deloitte's Predictive Analytics Hub and as a volunteer Data Research Analyst at NOVA SBE Data Science Knowledge Center (DSKC).