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- aggregation classification "A1".
- aggregation creator B419400.
- aggregation creator B419401.
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- aggregation date "2010".
- aggregation format "application/pdf".
- aggregation hasFormat 1019691.bibtex.
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- aggregation isPartOf urn:issn:0272-4332.
- aggregation language "eng".
- aggregation rights "I have transferred the copyright for this publication to the publisher".
- aggregation subject "Biology and Life Sciences".
- aggregation title "Modeling logistic performance in quantitative microbial risk assessment".
- aggregation abstract "In quantitative microbial risk assessment (QMRA), food safety in the food chain is modeled and simulated. In general, prevalences, concentrations, and numbers of microorganisms in media are investigated in the different steps from farm to fork. The underlying rates and conditions (such as storage times, temperatures, gas conditions, and their distributions) are determined. However, the logistic chain with its queues (storages, shelves) and mechanisms for ordering products is usually not taken into account. As a consequence, storage times-mutually dependent in successive steps in the chain-cannot be described adequately. This may have a great impact on the tails of risk distributions. Because food safety risks are generally very small, it is crucial to model the tails of (underlying) distributions as accurately as possible. Logistic performance can be modeled by describing the underlying planning and scheduling mechanisms in discrete-event modeling. This is common practice in operations research, specifically in supply chain management. In this article, we present the application of discrete-event modeling in the context of a QMRA for Listeria monocytogenes in fresh-cut iceberg lettuce. We show the potential value of discrete-event modeling in QMRA by calculating logistic interventions (modifications in the logistic chain) and determining their significance with respect to food safety.".
- aggregation authorList BK740633.
- aggregation endPage "31".
- aggregation issue "1".
- aggregation startPage "20".
- aggregation volume "30".
- aggregation aggregates 1026074.
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- aggregation similarTo j.1539-6924.2009.01338.x.
- aggregation similarTo LU-1019691.