Modeling traceability information flow for meat food quality safety

Authors:
Zhang Hu;Zhang Jian;Zhang Xiaoshuan;Fu Zetian
Affiliations:
College of Engineering, China Agricultural University, Haidian District, Beijing, P.R.China;Beijing Information S&T University, Haidian District, Beijing, P.R.China;College of Information and Electrical Engineering, China Agricultural University, Haidian District, Beijing, P.R.China;College of Information and Electrical Engineering, China Agricultural University, Haidian District, Beijing, P.R.China
Venue:
ACMOS'09 Proceedings of the 11th WSEAS international conference on Automatic control, modelling and simulation
Year:
2009

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WET-ICE '95 Proceedings of the 4th Workshop on Enabling Technologies: Infrastructure for Collaborative Enterprises (WET-ICE'95)

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Abstract

Over the last decades, the food safety issues become more and more important, such as BSE crisis, genetically modified organism (GMO) illegal spreading and melamine-contamination event. The food industry established a traceability system to reduce the impact of food safety issues, and the system became an effective method of guaranteeing the food safety. Not only does the traceability system trace the process information but also reduce the batches of recall. We study the risk transmission throughout food supply which contains raw material, process and distribution. A mathematic model based on dynamic programming and integer programming was proposed to solve the risk transmission problem in a China dumpling factory.