Analysing supply chain resilience with a Bayesian Network

Research output: Chapter in Book/Report/Conference proceedingAbstract

Original languageEnglish
Title of host publicationFood 2030: Towards Sustainable Agri-Food Systems
Subtitle of host publicationInternational Congress, 5-6 September 2018, University of Hohenheim, abstracts of free presenters
Pages18-18
Publication statusPublished - 2018
EventFOOD 2030: Towards Sustainable Agri-Food Systems - University of Hohenheim, Hohenheim, Germany
Duration: 5 Sep 20186 Sep 2018
https://food2030.uni-hohenheim.de

Conference

ConferenceFOOD 2030: Towards Sustainable Agri-Food Systems
CountryGermany
CityHohenheim
Period5/09/186/09/18
Internet address

Projects

Cite this

van Wagenberg, C. P. A., Aramyan, L. H., de Lauwere, C. C., Meuwissen, M. P. M., Timmer, M. J., & Willems, D. J. M. (2018). Analysing supply chain resilience with a Bayesian Network. In Food 2030: Towards Sustainable Agri-Food Systems: International Congress, 5-6 September 2018, University of Hohenheim, abstracts of free presenters (pp. 18-18) https://food2030.uni-hohenheim.de/fileadmin/einrichtungen/food2030/Documents/Abstracts_Free_Presenters.pdf#page=18