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Automated identification of anomalous conditions in supply chain processes

  • US 7,250,858 B2
  • Filed: 09/03/2004
  • Issued: 07/31/2007
  • Est. Priority Date: 09/05/2003
  • Status: Active Grant
First Claim
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1. A method for analyzing a supply chain process, comprising steps of:

  • (a) storing first data reflecting at least one determined value of at least one monitored aspect of a first shipment of at least one first item in the supply chain process, and storing second data reflecting at least one determined value of at least one monitored aspect of a second shipment of at least one second item in the supply chain process;

    (b) transmitting the first data, at least in part using radio frequency (RF) signals, to memory accessible to at least one processor as the at least one first item is transported from a shipping location to a receiving location as part of the supply chain process, and transmitting the second data, at least in part using RF signals, to the memory accessible to the at least one processor as the at least one second item is transported from a shipping location to a receiving location as part of the supply chain process; and

    (c) using the at least one processor, automatically analyzing data points, each data point based on at least both of the first data relating to the first shipment and the second data relating to the second shipment, to determine whether a plurality of the data points match a pattern indicative of an anomalous condition in the supply chain process.

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