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Supply Chain Analytics Day

21 September 2018

University of Cologne

What are the current trends and challenges in the field of supply chain analytics? What new opportunities arise from data science and machine learning? The Supply Chain Analytics Day brings together experts from science and practice to discuss these questions.

Lectures from Science and Practice

Selected speakers from the University of Cologne will give lectures on the latest data science and machine learning methods, as well as practical application examples. 

In addition, individual companies will present successfully implemented supply chain analytics projects. 

The conference will be rounded off with a discussion followed by a get-together. Snacks and drinks will also provide an opportunity for exchange between lectures. 

Place and Date

The Supply Chain Analytics Day takes place on 21.9.2018 from 9:00 - 17:00 h in the module building Weyertal 119a, Cologne and is organised by the Supply Chain Department of the University of Cologne.

 

Programme

Innovation

How will digitalization change the supply chain of tomorrow? Which technical possibilities already exist and which are currently under development? Leading researchers from the University of Cologne present their current research projects.

Transfer

Innovation for society - how can research influence industry? We present current research projects that directly improve the performance of companies in practice. Successful examples of our cooperation with companies.

Best Practice

Many questions arise on the way to the introduction of new technologies. How should a particular problem be addressed? What are the challenges of implementation? In the following presentations, companies that have successfully completed large supply chain analytics projects present their approach.

Discussion: New applications, trends and cooperation possibilities

We conclude the event with an open discussion. Cold drinks can then be exchanged formlessly during a get together.

 

 

Target Audience

Middle management with area of responsibility in analytics and/or supply chain

Scientific staff and interested parties at the development stage in Supply Chain Analytics

Key facts

Speakers

Prof. Dr. Ulrich Thonemann

Prof. Thonemann heads the Chair of Supply Chain Management and Management Science at the University of Cologne, after teaching at Stanford University, among others. His scientific contributions have been published in all leading journals. He is also Managing Director of the Business School of the University of Cologne. 

Prof. Dr. Jörn Grahl

Prof. Grahl is Professor of Digital Transformation and Analytics at the University of Cologne. His research interests include data science and business analytics, social media network analysis, digital experimentation and electronic markets.

Prof. Dr. Wolfgang Ketter

Prof. Ketter heads the Chair of Information Systems at the University of Cologne. He is also Director at the Institute for Energy Economics at the University of Cologne and at the Erasmus Centre for Future Energy Business at the Rotterdam School of Management. His research interests include machine learning, big data analytics and sustainability.

Prof. Dr. Fabian Sting

Prof. Sting is leading the chair for Supply Chain Strategy and Innovation at the University of Cologne. His practice-driven research was published in leading academic and managerial journals such as Harvard Business Review and MIT Sloan Management Review.

Jun.-Prof. Dr. Anna-Lena Sachs

Professor Sachs works at the Chair of Supply Chain Management and Management Science. Her research focus is Retail Analytics. Among other things, she examines how data-driven models can reduce stocks and the quantities of discarded food in the supply chain.

Felix Cahn

Felix Cahn (Dipl.-Kfm.) is currently Manager for "Corporate Digital Business Analysis" at Lekkerland AG. His previous stations were DigitasLBi GmbH (Digital Analyst), Biogas Nord AG (Key Account Manager) and the Chair for Economic Theory and Computational Economics at the University of Bielefeld (research assistant).

Christoph Lieth

Christoph Lieth is founder and owner of Cogista. Cogista's goal is to help industrial companies transform today's operations into cognitive operations. Before founding Camelot Consulting Group, he was a partner in SCM consulting. He has supported leading global companies in the transformation and digitisation of operations, is the author of numerous specialist articles and a lecturer in operations and digitisation.

Carlos M. Wimmel

Carlos M. Wimmel leads the system and process landscape in the operative area of Zentis GmbH & Co KG within the production planning and recipe administration. Since the beginning of his activities at Zentis, he has been significantly involved in digitization in the production environment. Following the successful introduction of an APS system, he is currently leading the migration to a new MES.

Dr. Johannes Antweiler

Dr. Antweiler is Managing Director of the Area for Supply Chain Management and the Chair for Supply Chain Management and Production at the University of Cologne. Among other things, he is involved in data analytics, the optimization of supply chains, particularly in production, and inventory management. He is also Managing Director of POM Prof. Tempelmeier GmbH.

Silja Salge

Silja Salge (Dipl.-Kffr.) currently works in the Corporate Product Supply Controlling department of Bayer AG, where she is responsible for Strategy & Development. She also leads a work stream for the development of innovative supply chain analytics solutions as part of a large business intelligence project at Bayer. After completing her Supply Chain Trainee Program at Bayer, she worked in Supply Chain Performance Management and SCM Americas for Bayer Diabetes Care. 

Sebastian Steinker

Sebastian Steinker works as a data scientist in business intelligence at Hamburg-based online retailer OTTO. His areas of responsibility include predictive modeling and the development and implementation of machine learning algorithms in the supply chain and logistics context at OTTO. 

Previously, he received his doctorate from the Chair of Supply Chain Management and Management Science at the University of Cologne in cooperation with Kühne Logistics University Hamburg. During his doctoral thesis he dealt with the application of statistical methods in supply chain management and published scientific articles in leading journals.