SUPPLY CHAIN RESILIENCY USING SPATIO-TEMPORAL FEEDBACK

Spatio-temporal climate forecasts are analyzed and one or more resiliency policies for a supply chain are dynamically generated. The resiliency policy is embedded in a resiliency reasoning graph and a temporal feedback loop is performed based on user feedback regarding the generated resiliency polic...

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Hauptverfasser: Godbole, Shantanu R, Marvaniya, Smitkumar Narotambhai, Weldemariam, Komminist, Kulkarni, Kedar
Format: Patent
Sprache:eng
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Zusammenfassung:Spatio-temporal climate forecasts are analyzed and one or more resiliency policies for a supply chain are dynamically generated. The resiliency policy is embedded in a resiliency reasoning graph and a temporal feedback loop is performed based on user feedback regarding the generated resiliency policy and user interaction with the resiliency reasoning graph. One or more machine learning models are updated based on the user feedback and a joint optimization of the machine learning models is re-solved based on the user feedback. The resiliency policy is updated based on the updated machine learning models based on the user feedback and an operation of a supply chain is adjusted based on the updated resiliency policy.