Value chain network planning using machine learning and digital twin simulation
US12314060B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Nov 30, 2023 |
| Grant date | May 27, 2025 |
| Priority date | — |
| Expiry date | Nov 30, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06Q2220/00
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A VCN process may receive, by a value chain network digital twin, information associated with a value chain network. A VCN process may provide the information to a set of Artificial Intelligence (AI)-based learning models, wherein at least one member of the set of AI-based learning models is trained to classify at least one of: an operating state, a fault condition, an operating flow, or a behavior of the value chain network and at least one member of the set of AI-based learning models is trained to determine a task to be completed for the value chain network. A VCN process may provide at least one of an instruction for executing the task in the value chain network digital twin and a recommendation for executing the task in the value chain network digital twin.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.