KAI-HOBERG

KAI HOBERG

KAI HOBERG

Full Professor of Supply Chain and Operations Strategy, Head of Logistics Department, Kühne Logistics University

Analytics for the Supply Chain 4.0
Supply chain management has always been technology oriented and data intensive. New technologies like robots in warehousing, self-driving trucks or IoT solutions offer many interesting possibilities for supply chain research. However, the on-going explosion of data available along the supply chain has also attracted a lot of attention from practice and academia. Until recently, the supply chain management community has focused primarily on complex mathematical models and operations research methods. However, now there is a strong push by many scholars to leverage new data sources and the breadth of data for creating new insights and to improve decision making. In this tutorial, we have a look at the analytics opportunities along the different stages of the supply chain and discuss some detailed applications.