Supply Chain Tracing of Multiple Products under Uncertainty and Incomplete Information - An Application of Answer Set Programming

Monica L. Nogueira, Noel P. Greis

2013

Abstract

Food supply chains are complex networks involving many organizations and food products from the farm to the consumer. The ability to quickly trace the trajectory of a tainted food product and to identify the origin of the contamination is essential to minimizing the economic and human costs of foodborne disease. Complexities arise when multiple products traverse multiple states and/or countries and when products cross multiple intersecting supply chains. In this paper we use the example of a recent Salmonella contamination involving tomatoes and peppers imported from Mexico into the U.S. to demonstrate the use of Answer Set Programming to localize the source of contamination in a complex supply chain characterized by uncertainty and incomplete information.

Paper Citation

in Harvard Style

L. Nogueira M. and P. Greis N. (2013). Supply Chain Tracing of Multiple Products under Uncertainty and Incomplete Information - An Application of Answer Set Programming . In Proceedings of the International Conference on Knowledge Engineering and Ontology Development - Volume 1: KEOD, (IC3K 2013) ISBN 978-989-8565-81-5, pages 399-406. DOI: 10.5220/0004627603990406

in Bibtex Style

@conference{keod13,
author={Monica L. Nogueira and Noel P. Greis},
title={Supply Chain Tracing of Multiple Products under Uncertainty and Incomplete Information - An Application of Answer Set Programming},
booktitle={Proceedings of the International Conference on Knowledge Engineering and Ontology Development - Volume 1: KEOD, (IC3K 2013)},
year={2013},
pages={399-406},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004627603990406},
isbn={978-989-8565-81-5},
}

in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Knowledge Engineering and Ontology Development - Volume 1: KEOD, (IC3K 2013)
TI - Supply Chain Tracing of Multiple Products under Uncertainty and Incomplete Information - An Application of Answer Set Programming
SN - 978-989-8565-81-5
AU - L. Nogueira M.
AU - P. Greis N.
PY - 2013
SP - 399
EP - 406
DO - 10.5220/0004627603990406