Decision support for risks managers in the case of deliberate food contamination: The dairy industry as an example

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Decision support for risks managers in the case of deliberate food contamination : The dairy industry as an example. / Pinior, Beate; Conraths, Franz J.; Petersen, Brigitte; Selhorst, Thomas.

I: Omega (United Kingdom), Bind 53, 01.06.2015, s. 41-48.

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

Harvard

Pinior, B, Conraths, FJ, Petersen, B & Selhorst, T 2015, 'Decision support for risks managers in the case of deliberate food contamination: The dairy industry as an example', Omega (United Kingdom), bind 53, s. 41-48. https://doi.org/10.1016/j.omega.2014.09.011

APA

Pinior, B., Conraths, F. J., Petersen, B., & Selhorst, T. (2015). Decision support for risks managers in the case of deliberate food contamination: The dairy industry as an example. Omega (United Kingdom), 53, 41-48. https://doi.org/10.1016/j.omega.2014.09.011

Vancouver

Pinior B, Conraths FJ, Petersen B, Selhorst T. Decision support for risks managers in the case of deliberate food contamination: The dairy industry as an example. Omega (United Kingdom). 2015 jun. 1;53:41-48. https://doi.org/10.1016/j.omega.2014.09.011

Author

Pinior, Beate ; Conraths, Franz J. ; Petersen, Brigitte ; Selhorst, Thomas. / Decision support for risks managers in the case of deliberate food contamination : The dairy industry as an example. I: Omega (United Kingdom). 2015 ; Bind 53. s. 41-48.

Bibtex

@article{2229928d72224f43bc205bdb45202c11,
title = "Decision support for risks managers in the case of deliberate food contamination: The dairy industry as an example",
abstract = "Dairy farms were identified, which can be included in a contingency plan set up to prevent or mitigate the consequences of deliberate contamination of a food supply chain. The deliberate introduction of a contamination into the supply chain of milk was simulated in a scenario where milk producers serve as the entry sources and consumers of milk represent the target to be affected by the contamination. It is shown that the entry sources have an impact on the damage caused, i.e. in terms of the number of consumers reached. A contingency plan is provided that contains a list of entry sources ranked according to their impact on the damage to consumers. To generate this list, a computer program was developed that simulates the impact of the contaminations on consumers via the trade of contaminated milk. Possible variations in the trade links between milk producers, dairies and consumers as well as between dairies are considered. It is investigated how these trade links alter the generated list of entry sources.The results indicate that, regardless of the actual milk trade flow, control measures should be introduced on 39% of the milk producers in order to minimize the damage. The identification of suitable entry sources may help risk managers to focus on these farms in a contingency plan that improves the sensitivity of control activities related to deliberate contamination.",
keywords = "Contingency plan, Dairy industry, Greedy algorithm, Terrorist attacks",
author = "Beate Pinior and Conraths, {Franz J.} and Brigitte Petersen and Thomas Selhorst",
year = "2015",
month = jun,
day = "1",
doi = "10.1016/j.omega.2014.09.011",
language = "English",
volume = "53",
pages = "41--48",
journal = "Omega: The International Journal of Management Science",
issn = "0305-0483",
publisher = "Elsevier",

}

RIS

TY - JOUR

T1 - Decision support for risks managers in the case of deliberate food contamination

T2 - The dairy industry as an example

AU - Pinior, Beate

AU - Conraths, Franz J.

AU - Petersen, Brigitte

AU - Selhorst, Thomas

PY - 2015/6/1

Y1 - 2015/6/1

N2 - Dairy farms were identified, which can be included in a contingency plan set up to prevent or mitigate the consequences of deliberate contamination of a food supply chain. The deliberate introduction of a contamination into the supply chain of milk was simulated in a scenario where milk producers serve as the entry sources and consumers of milk represent the target to be affected by the contamination. It is shown that the entry sources have an impact on the damage caused, i.e. in terms of the number of consumers reached. A contingency plan is provided that contains a list of entry sources ranked according to their impact on the damage to consumers. To generate this list, a computer program was developed that simulates the impact of the contaminations on consumers via the trade of contaminated milk. Possible variations in the trade links between milk producers, dairies and consumers as well as between dairies are considered. It is investigated how these trade links alter the generated list of entry sources.The results indicate that, regardless of the actual milk trade flow, control measures should be introduced on 39% of the milk producers in order to minimize the damage. The identification of suitable entry sources may help risk managers to focus on these farms in a contingency plan that improves the sensitivity of control activities related to deliberate contamination.

AB - Dairy farms were identified, which can be included in a contingency plan set up to prevent or mitigate the consequences of deliberate contamination of a food supply chain. The deliberate introduction of a contamination into the supply chain of milk was simulated in a scenario where milk producers serve as the entry sources and consumers of milk represent the target to be affected by the contamination. It is shown that the entry sources have an impact on the damage caused, i.e. in terms of the number of consumers reached. A contingency plan is provided that contains a list of entry sources ranked according to their impact on the damage to consumers. To generate this list, a computer program was developed that simulates the impact of the contaminations on consumers via the trade of contaminated milk. Possible variations in the trade links between milk producers, dairies and consumers as well as between dairies are considered. It is investigated how these trade links alter the generated list of entry sources.The results indicate that, regardless of the actual milk trade flow, control measures should be introduced on 39% of the milk producers in order to minimize the damage. The identification of suitable entry sources may help risk managers to focus on these farms in a contingency plan that improves the sensitivity of control activities related to deliberate contamination.

KW - Contingency plan

KW - Dairy industry

KW - Greedy algorithm

KW - Terrorist attacks

U2 - 10.1016/j.omega.2014.09.011

DO - 10.1016/j.omega.2014.09.011

M3 - Journal article

AN - SCOPUS:84920156137

VL - 53

SP - 41

EP - 48

JO - Omega: The International Journal of Management Science

JF - Omega: The International Journal of Management Science

SN - 0305-0483

ER -

ID: 259319277