Risk identification in supply chain

Abstract

Computer systems and methods that identify and assess risk in a supply chain network. The systems and methods create a visual model of a supply chain network, which includes: (i) logical stations graphically representing the physical sites in the supply chain network, and (ii) logical transits graphically representing the transportation of materials between the represented physical sites. For each given logical station, the systems and methods identify risk values for risk categories associated with the physical site. The systems and methods identify the risk values based on physical conditions related to: (a) the physical site represented by the given logical station, (b) each physical site represented by a logical station positioned in a downstream supply chain path to the given logical station, and (c) each transportation represented by a logical transit positioned in the downstream supply chain path. The systems and methods generate dynamic graphical indications comparing the identified risk values for the risk categories and total risk values for the represented physical sites and transportations.

Description

Background technique [0001] In a global manufacturing enterprise, delivered products may be produced from multiple manufactured items and raw materials, and each of the multiple manufactured items may in turn be produced from other manufactured and raw material streams. In these businesses, this material flow is often viewed as a supply chain network. A supply chain network typically includes each physical location (site) that participates in the flow of materials, for example, supplier sites, manufacturing sites, storage sites, distribution sites, and retail sites. Supply chain networks also typically include transportation for moving materials between these sites. Most existing supply chain modeling solutions represent the supply chain network in a tabular format, which leads to visibility difficulties when users try to view the complete chain of stations and shipments included in the supply chain network; especially when representing multi-tier supply chain network. Furt...

AI Technical Summary

Problems solved by technology

Most existing supply chain modeling solutions represent the supply chain network in a tabular format, which leads to visibility difficulties when users try to view the complete chain of stations and shipments included in the supply chain network; especially when representing multi-tier supply chain network

Furthermore, previous supply chain modeling solutions were unable to identify or assess the risks (uncertainties) associated with the flow of materials in the represented supply chain network, such as with each represented site and between those represented sites The risks associated with the indicated transport of , partly due to the limited risk-related data available for these solutions

Consequently, these existing supply chain modeling solutions do not provide visibility into the risks associated with the flow of materials within the represented supply chain network

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