InKoRISK (Collaborative risk management for integrated planning of production and transportation in the automotive industry) was a research project developing a systematic and collaborative approach to risk management. The project combines preventive measures with reactive ones to analyze and deal with risks that affect shipments and thus emissions. The InKoRISK project was a collaborative project with the Fraunhofer Institute for Material Flow and Logistics (IML) and partners from the automotive industry.


The InTerTrans project (Integrated scheduling and transportation planning) concentrated on realizing efficient transportation processes for the automotive industry. Sustainable concepts for transportation planning and order scheduling were also developed and integrated for the first time. By making transportation planning more dynamic and including key transportation criteria in order scheduling, utilization was increased, less kilometers were driven and a modal shift from rail to water was achieved. With these improvements, emissions were reduced substantially in case studies.


“LogiScale – Big Data and Supply Chain” is a joint research project between 4flow and the Combinatorial Optimization & Graph Algorithms Group (COGA) at the Technical University of Berlin. Together, the project partners are developing methods to model complex supply chain networks including cost, time and location data in various dimensions, known as multiscale modeling. The new methods are also intended to enable planning decisions, no matter the size of the network, using efficient algorithms with minimal calculation effort. Another focus is to model logistics processes in a realistic manner, and to enable a reduction in planning and operating costs for logistics networks. The research project is funded by the European Union’s European Regional Development Fund and the Investitionsbank Berlin. More information is available in German at


During the MultiTrans project (Multi-criteria optimization for transportation challenges in the supply chain) optimization algorithms were developed that can withstand the intricate complexity of network structures. Multi-echelon transportation networks and consolidated traffic flows were modeled and optimized based on multiple factors such as costs and environmental sustainability. The solutions clearly outperform conventional approaches generally in use. In case studies, supply chain costs were reduced by up to 14 percent. This research project was funded by the European Union’s European Regional Development Fund.


RM-LOG (Risk management strategies in logistics and infrastructure networks) is a project in which new and modified risk management strategies were drawn up to safeguard supply chains. Using models, the basis consisted of investigating disruptions to the transportation and logistics infrastructure having a considerable effect on supply chains. The RM-LOG project partners were the Technical University of Berlin, the Karlsruhe Institute of Technology (KIT) and Kuehne + Nagel.


The research project RobuNet (Robust network design for very large logistics networks) developed innovative solutions for robust and efficient network design. The goal was to realistically model and efficiently optimize large-scale and complex supply networks while considering uncertain planning parameters. 4flow partnered with the Combinatorial Optimization & Graph Algorithms (COGA) team at the Technical University of Berlin. The project was funded by the European Union’s European Regional Development Fund. More information can be found under


The SEAK project (Decision support for companies to overcome bottlenecks in food supply) looked at areas of improvement from producer to consumer in the food supply, with a focus on logistics and infrastructure networks. Decision support model methods for both the private and the public sector were developed. The project was carried out in collaboration with the Technical University of Darmstadt, Karlsruhe Institute of Technology (KIT) as well as partners from the grocery retailing sector, and supply chain service providers. For more information in German, go to



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