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dc.contributor.authorPinior, Beate
dc.contributor.authorSelhorst, Thomas
dc.contributor.editorClasen, Michael
dc.contributor.editorHamer, Martin
dc.contributor.editorLehnert, Susanne
dc.contributor.editorPetersen, Brigitte
dc.contributor.editorTheuvsen, Brigitte
dc.date.accessioned2018-10-10T08:18:05Z
dc.date.available2018-10-10T08:18:05Z
dc.date.issued2014
dc.identifier.isbn978-388579-620-6
dc.identifier.issn1617-5468
dc.identifier.urihttp://dl.gi.de/handle/20.500.12116/17090
dc.description.abstractWe focus on a deliberate scenario, where milk producers are used as entry sources for a contamination and where milk consumers are the target of the attack. The aim of this study is to demonstrate how the size of damage differs dependent on the use of an optimization algorithm or a random selection of entry sources. The results indicate that with a random selection of entry sources the same results can be provided with respect to the number of consumers reached, as with the application of the greedy algorithm. However, it should be also noted that with random selection of entry sources there is also a possibility of selecting milk producers, which would not reach any consumer with the hypothetical contaminated milk. The résumé is that by using the greedy algorithm always the “best” suited milk producers will be selected for a maximum spread of contaminated milk in our model. Risk managers can use these results in order to select the sources of entry in a timeand resource efficient manner.en
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofIT-Standards in der Agrar- und Ernährungswirtschaft – Fokus: Risiko- und Krisenmanagement
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-253
dc.titleOptimization Algorithms vs. random sampling of entry sources for a deliberate food contaminationen
dc.typeText/Conference Paper
dc.pubPlaceBonn
mci.reference.pages129-132
mci.conference.sessiontitleRegular Research Papers
mci.conference.locationBonn
mci.conference.date24.-25. Februar 2014


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