US2021357422A1PendingUtilityA1

Control tower and enterprise management platform with workforce digital twins for value chain networks

Assignee: STRONG FORCE VCN PORTFOLIO 2019 LLCPriority: Nov 5, 2019Filed: May 28, 2021Published: Nov 18, 2021
Est. expiryNov 5, 2039(~13.3 yrs left)· nominal 20-yr term from priority
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Claims

Abstract

A value chain system that provides recommendations for designing a logistics system generally includes a machine learning system that trains machine-learned models that output logistics design recommendations based on training data sets that each respectively defines one or more features of a respective logistic system and an outcome relating to the respective logistics system; an artificial intelligence system that receives a request for a logistics system design recommendation and determines the logistics system design recommendation based on one or more of the machine-learned models and the request; and a digital twin system that generates an environment digital twin of a logistics environment that incorporates the logistics system design recommendation, and one or more physical asset digital twins of physical assets. The digital twin system executes a simulation based on the logistics environment digital twin, the one or more physical asset digital twins.

Claims

exact text as granted — not AI-modified
What is claimed is: 
     
         1 . A method for providing a digital twin of a workforce, comprising:
 maintaining an information technology architecture that supports a set of enterprise digital twins of a set of physical and digital entities of an enterprise, the architecture including:
 a set of sensors that provide sensor data about the set of physical entities; 
 a set of data streams generated by at least a subset of the set of physical and digital entities; 
 a set of computational entities that process data and a set of network entities that transport data that is derived from the set of sensors and the set of data streams; 
 a set of data processing systems for extracting, transforming and loading the data that is transported by the network entities into a set of resources that are sources for the digital twin; 
   representing an enterprise organizational structure in an organizational digital twin of an enterprise;   parsing the structure to infer relationships among a set of roles within the organizational structure, wherein the relationships and the roles define a workforce of the enterprise;   determining a set of parameters with which the digital twin is configured based on the inferred set of relationships; and   configuring the presentation layer of a digital twin based on the set of parameters.

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