Pinior, Beate: Application of Models for Safeguarding the Milk Supply Chain. - Bonn, 2013. - Dissertation, Rheinische Friedrich-Wilhelms-Universität Bonn.
Online-Ausgabe in bonndoc: https://nbn-resolving.org/urn:nbn:de:hbz:5n-32581
@phdthesis{handle:20.500.11811/5544,
urn: https://nbn-resolving.org/urn:nbn:de:hbz:5n-32581,
author = {{Beate Pinior}},
title = {Application of Models for Safeguarding the Milk Supply Chain},
school = {Rheinische Friedrich-Wilhelms-Universität Bonn},
year = 2013,
month = jul,

note = {The objective of this thesis was to develop a simulation model in order to identify actors and flows of goods, which can promote the spread of a hypothetical contamination in the dairy industry. Based on the model results, strategies to safeguard the milk supply chain were derived for decision-makers.
The first step for creating a simulation model was to develop a conceptual model, in which the actors and the structural trade links between the actors are described. For quantifying these trade links a substantial amount of data about the real flow of goods in the dairy industry could be used. Based on the conceptual model, an economic model for predicting trade relations was newly combined with optimization algorithms. On the one hand, for simulating the spatial distribution of a hypothetical contamination, taking into account various flows of goods between the actors. The simulated damage situation was quantified in terms of the distinctive model parameters virulence, resistance and vulnerability of actors as well as the geographical range of a contamination. In particular, it was necessary to assess the impact of trade between the dairies on the spatial spread of a contamination. The basis for the carried out modeling formed 500 trade networks that represent 61.43% of the existing flows of goods of processed milk in Germany. These networks comprise varying trade relations between 294 milk producers, 80 dairies and 12,223 consumers. On the other hand, a management plan for decision-makers was designed, where surveillance measures for minimizing the size of damage were derived from.
The model results indicate that actors and structures exist that promote the spread of a hypothetical contamination in the dairy industry. First, the risk for the consumer to be supplied with hypothetical contaminated milk is up to three times higher on average, if a trade between dairies exists, compared to the neglect of the trade. In this context, also the spread of contaminated milk through the milk producers can be up to four times higher on average. Second, under consideration of the predetermined scenario, the management plan shows that control measures should be introduced on 40% of the milk producers in order to minimize the damage.},

url = {https://hdl.handle.net/20.500.11811/5544}
}

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