Professor Stefan Spinler
Stefan Spinler is Professor in Logistics Management at WHU – Otto Beisheim School of Management and co-director of the Institute of Logistics Management. He teaches logistics and supply chain management, real options analysis and data analytics.
Stefan holds the Chair in Logistics Management at WHU. In 1997, he received a Master’s degree in electrical engineering from Friedrich-Alexander University in Erlangen, Germany. Upon graduation, he was responsible for process coordination in DRAM manufacturing at Infineon Technologies in Dresden. In 2002, he received a doctorate in Operations Management from the WHU. Subsequently, he was a lecturer with the Operations Management department at the Wharton School of Business where he taught in the MBA and PhD programs. He regularly teaches a class on real options in University of Pennsylvania’s Executive Master of Technology Management and at MIT’s Leaders for Manufacturing program. He is a member of the jury in the Industrial Excellence Award run by INSEAD and WHU.
Stefan Spinler’s research interests include sustainability in supply chains, where he is currently involved in a project with colleagues from INSEAD to reduce CO2 emissions in the postal delivery. He is moreover interested in supply chain risk management, where he collaborates with major consumer goods and automotive companies. He has published his work in leading international academic journals such as Decisions Sciences Journal, EJOR, Interfaces, MSOM and POM. In 2003, he was awarded the Management Science Strategic Innovation Prize from the European Associations of Operational Research Societies / EURO and the best dissertation award from GOR, the German Operations Research Society. Twice, he was a finalist in the Daniel H. Wagner Prize competition that rewards excellence in Operations Research practice. Most recently, he was given the Best Paper Award at the 53rd Hawaii International Conference on System Sciences 2020 for a paper on delay prediction for container ships based on machine learning.
