Coopetitive Control of Supply Chains

About

The courses of the summer school include among others the following topics:

• negotiation mechanisms for supply chain coordination
• IT-enabled decision making in collaborative distribution networks
• network flow optimization, big data analytics, control theory, and heuristics
• performance criteria for control interfaces and selection of evaluation criteria

Mon, 03.07.2017
Industry 4.0
Prof. Dr. Michael Henke
Technical University of Dortmund, Germany

Tue, 04.07.2017
Supplier Development
Prof. Dr. Jürgen Pannek
University of Bremen, Germany

Wed, 05.07.2017
Industry Excursion: Guided tour to the automobile terminal of the BLG LOGISTICS GROUP AG & Co. KG in Bremerhaven
Social Event

Thu, 06.07.2017
Negotiation mechanisms for supply chain coordination
Prof. Dr. Andreas Fink
Helmut-Schmidt-University, Germany

Fri, 07.07.2017
IT-enabled decision making in collaborative distribution networks
Dr. Paul Buijs
University of Groningen, Netherlands

Course leader

University of Bremen LogDynamics Research Cluster Prof. Dr. Till Becker Prof. Dr. Tobias Buer Prof. Dr. Jürgen Pannek

Target group

The LogDynamics Summer School is designed for PhD and Master students who work on theses at the interface of Logistics, Computer Science, Industrial Engineering, Economics or related fields. It is encouraged that the applicants have some basic knowledge in modeling, programming, and statistics.

Course aim

The goal of this summer school is to forge a seed of young researchers from different disciplines, who share the interest in mechanisms for coordination of logistics processes as well as in the cooperation and competitiveness in supply chains. Therefore, the second LogDynamics Summer School will focus the topic area of Coopetitive Control of Supply Chains.

The students will utilize this knowledge within their own projects to:

• classify their research project in the topic landscape of the summer school,
• sharpen the understanding of the working principles and realize the interdependencies between different levels and components of the systems,
• improve communication and increase understanding and exchange between the involved scientific disciplines.

Fee info