公开(公告)号：US12277524B2

公开(公告)日：2025-04-15

申请号：US17460995

申请日：2021-08-30

Applicant: STRONG FORCE VCN PORTFOLIO 2019, LLC

Inventor： Charles Howard Cella ,  Richard Spitz ,  Teymour S. El-Tahry

IPC: G06N20/00 ,  B25J9/16 ,  G05B13/02 ,  G05B19/4155 ,  G06F16/23 ,  G06F16/27 ,  G06F16/28 ,  G06F18/21 ,  G06F18/214 ,  G06F30/27 ,  G06N3/04 ,  G06N3/08 ,  G06Q10/0631 ,  G06Q10/0633 ,  G06Q10/0635 ,  G06Q10/0637 ,  G06Q10/067 ,  G06Q10/08 ,  G06Q10/083 ,  G06Q10/0833 ,  G06Q10/0835 ,  G06Q10/087 ,  G06Q10/10 ,  G06Q30/018 ,  G06Q30/0201 ,  G06Q30/0202 ,  G06Q30/0601 ,  G06Q50/26 ,  H04L67/1097 ,  H04L67/12 ,  B64U101/64 ,  G16Y10/40 ,  G16Y10/45 ,  G16Y10/75 ,  G16Y40/10 ,  H04W84/04

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.