Recall-driven Product Tracing and Supply Chain Tracking using Answer Set Programming

Monica L. Nogueira, Noel P. Greis

2012

Abstract

Incomplete information and the inability to trace the movement of contaminated products across the food chain has hindered our ability to locate and remove contaminated products once a food recall has been announced. The FDA Food Safety Modernization Act (FSMA) that was signed into law in 2011, however, supports traceability by both expanding the registration requirements for companies that are involved in food production and, in the event of a food recall, requiring companies to provide information about their immediate suppliers and customers—what is referred to as “one step forward” and “one step backward” traceability. In this paper we implement the logic-based approach called answer set programming that uses inference rules to determine the set of all companies that may be linked to a contaminated product. Unlike other approaches, we do not depend on the availability of common standards or unique identifiers. Rather, the proposed approach utilizes information about the company’s primary suppliers and customers along with their products—consistent with the “one step forward” and “one step backward” required under FMSA as noted above. We demonstrate this approach using the example of a food recall involving pork products.

Paper Citation

in Harvard Style

L. Nogueira M. and P. Greis N. (2012). Recall-driven Product Tracing and Supply Chain Tracking using Answer Set Programming . In Proceedings of the International Conference on Knowledge Engineering and Ontology Development - Volume 1: KEOD, (IC3K 2012) ISBN 978-989-8565-30-3, pages 125-133. DOI: 10.5220/0004146201250133

in Bibtex Style

@conference{keod12,
author={Monica L. Nogueira and Noel P. Greis},
title={Recall-driven Product Tracing and Supply Chain Tracking using Answer Set Programming},
booktitle={Proceedings of the International Conference on Knowledge Engineering and Ontology Development - Volume 1: KEOD, (IC3K 2012)},
year={2012},
pages={125-133},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004146201250133},
isbn={978-989-8565-30-3},
}

in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Knowledge Engineering and Ontology Development - Volume 1: KEOD, (IC3K 2012)
TI - Recall-driven Product Tracing and Supply Chain Tracking using Answer Set Programming
SN - 978-989-8565-30-3
AU - L. Nogueira M.
AU - P. Greis N.
PY - 2012
SP - 125
EP - 133
DO - 10.5220/0004146201250133