• DocumentCode
    1591487
  • Title

    Using causality analysis in the beef quality information tracing

  • Author

    Li, Hui ; Li, Daoliang ; Feng, Weizhe ; Mu, Weisong ; Li, Xinxing ; Fu, Zetian

  • Author_Institution
    China Agric. Univ., Beijing, China
  • fYear
    2010
  • Firstpage
    335
  • Lastpage
    341
  • Abstract
    Causal relation analysis is a promising application in product quality tracking and tracing. Considering the quality safety problems in China beef production, the causal relation analysis was introduced into the beef quality safety tracing system and a causal approach-based tracing method was proposed. Considering the implicity, complexity and dynamic characteristics in beef quality safety causal relations, based on its mechanisms, a beef quality safety event representation method was studied based on the extended spanning tree structure. And the detection algorithm was developed based on an improved minimum spanning tree method. With consideration of the time relations, hierarchical relations and causal relation between the beef quality safety events, an approach was proposed for the output of hierarchy view and solution of the causal tracing problems. Finally, through the investigation in the beef production manufactures, the proposed method got sound validation.
  • Keywords
    causality; food manufacturing; food products; food safety; quality control; trees (mathematics); China beef production; beef production manufactures; beef quality safety tracing system; causal relation analysis; extended spanning tree structure; hierarchical relations; product quality tracking; time relations; Analytical models; Cows; Monitoring; Safety; Solid modeling; Supply chains;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    World Automation Congress (WAC), 2010
  • Conference_Location
    Kobe
  • ISSN
    2154-4824
  • Print_ISBN
    978-1-4244-9673-0
  • Electronic_ISBN
    2154-4824
  • Type

    conf

  • Filename
    5665502