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Vortrag: “Design, configuration and sustainability assessment of advanced food supply and distribution chains: collaborative approaches”

Start: End: Location: Fraunhofer-Institut für Materialfluss und Logistik IML, Joseph-von-Fraunhofer-Str. 2-4
Event type:
  • Vortrag
Im Rahmen des Dortmund Gambrinus Fellowships ist Prof. Gonzalez-Feliu von der Ecole des Mines de Saint-Etienne, Frankreich, im Juli an der TU Dortmund zu Gast. Bei diesem Programm werden Gastaufenthalte renommierter internationaler Wissenschaftlerinnen und Wissenschaftler an der TU unterstützt. Im Rahmen des Programms hält er einen Vortrag zum Thema Lebensmittelversorgung und Distributionsketten.

Food supply is one of the most crucial subjects nowadays, mainly when dealing with cities and with collective catering, since it involves a high-level decision action from public authorities and at the same time concerns many citizens (mainly related to school canteens). Although urban food systems and food supply chains are widely studied, works deal mainly with foodsecurity on the first group and with operations management and optimization in the second. The design of such networks, and more precisely the inclusion of local and eco-responsible producers of small size and under-optimized, non-integrated practices, becomes a challenge that has not still been studied. This talk proposes to characterize the needs and requirements of collective restauration supply chains when dealing with small, local producer integrations, as well as with the design of configuration of the consequent sustainable urban food supply systems for school canteens. A general methodological framewotk to conceive, design and plan (at both strategic and tactical level), independent of the modelling and assessment tools, is proposed. The idea is to propose a robust methodology that can use different methods and techniques and supports collaborative decision support for urban food supply. The methodology, as well as the assessment methods, dashboards and indicators to evaluate the sustainability of proposed systems is presented. The collaborative decision support system resulting from such methodology is also described. Finally, some cases of application are presented and discussed, and research and practice implications are addressed.

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