Sustainable logistics and circular economy
RITMO develops practical concepts for efficient and environmentally friendly logistics systems. Our research ranges from the analysis of urban logistics processes and the optimization of supply chains to the integration of renewable energy sources such as hydrogen. The close combination of engineering, economics and social sciences results in viable solutions for companies, local authorities and infrastructure providers that are aimed equally at resource conservation, public welfare and competitiveness.
Researchers
Prof. Dr. Manfred Loidold (Geoinformatics & Surveying), Prof. Dr. Eva Iwer (Computer Science), Prof. Dr. Ingo Däberitz (General Business Administration, esp. Supply Chain Analytics), Prof. Dr. Christian Grotemeier (Mobility Management & Business Administration), Prof. Dr. Matthias Kalverkamp (Supply Chain Management & Operations Management), Prof. Dr. Thomas Kirschstein (Sustainable Operations Management), Prof. Dr. Johannes Luderschmidt (Media Informatics & Interactive Technology Management). Matthias Kalverkamp (Supply Chain Management & Operations Management), Prof. Dr. Thomas Kirschstein (Sustainable Operations Management), Prof. Dr. Johannes Luderschmidt (Media Computer Science & Interactive Media Technology), Prof. Dr. Hartmut Werner (Logistics Management & Corporate Planning)
Project example(s)
SOM - Sustainable Ownership Model
The research project compares the sustainability of sharing versus purchasing models for workwear and workwear across the entire life cycle and along the three sustainability pillars. It identifies relevant aspects and evaluates the models per pillar, with a focus on logistics concepts in sharing systems. A user survey weights the pillars in order to derive an integrated sustainability index. The results show that economic aspects are often prioritized and that many companies are unable to make a valid assessment of the effects in the usage phase. In addition, suitable logistics increase sustainability; sharing models have greater potential overall.
Further information on the research project