Modelling and method for beef quality risk identification and optimization in beef cattle breeding

  • Authors:
  • Hui Li;Jian Zhang;Lingxian Zhang;Liang Shi;Daoliang Li;Zetian Fu

  • Affiliations:
  • College of Engineering, China Agricultural University, Beijing, P.R.China;Beijing Information Science and Technology University;College of Engineering, China Agricultural University, Beijing, P.R.China;College of Economics and Management, China Agricultural University, Beijing, China;College of Engineering, China Agricultural University, Beijing, P.R.China;College of Information and Electrical Engineering, China Agricultural University, Beijing, P.R.China

  • Venue:
  • WSEAS Transactions on Information Science and Applications
  • Year:
  • 2009

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Abstract

The meat industry is seeking to establish reassurance on traceability and production techniques that may help to promote confidence in the integrity and origin of the products. The overall tracing of beef quality is actually the risk identification and control along the supply chains of beef production. This study focused on the identification and control methods of quality risks in China traditional beef cattle breeding with optimization approaches concerned. The quality risks in beef cattle breeding were classified by features to develop the disseminated model of these risks and its algorithms. Then the theory of quality traceability was used and a concept model of quality risk control was proposed. Tracing units were divided and tracing nodes were set through optimization. The proposed risk identification and control models were capable of identifying and handling a product and the information attached to it throughout the whole production process to retail packs.