Applying Data Mining for Early Warning food supply networks

Research output: Book/ReportReportAcademic

Abstract

In food supply networks, quality of end products is a critical issue. The quality of food products depends in a complex way on many factors. In order to effectively control food quality, our research aims at implementing early warning and proactive control systems in food supply networks. To exploit the large amounts of operational data collected throughout such a network, we employ data mining in various settings. This paper investigates the requirements on data mining posed by early warning in food supply networks, and maps those requirements to available data mining methods. Results of a preliminary case study show that data mining is a promising approach as part of early warning systems in food supply networks.
Original languageEnglish
Place of PublicationWageningen
PublisherMansholt Graduate School
Number of pages18
Publication statusPublished - 2006

Publication series

NameWorking paper / Mansholt Graduate School : Discussion paper
PublisherMansholt Graduate School

Keywords

  • food supply
  • food quality
  • control
  • data collection
  • data mining
  • networks

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