Patent application title: DIGITAL TWIN FOR CONTROL TOWER AND ENTERPRISE MANAGEMENT PLATFORM MANAGING PACKAGING DESIGN
Inventors:
IPC8 Class: AG06Q1008FI
USPC Class:
Class name:
Publication date: 2022-02-17
Patent application number: 20220051184
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:
1. A value chain system that designs packaging comprising: a machine
learning system that trains a machine-learned model that outputs a
packaging design recommendation given a respective set of input features
relating to a specific respective packaging design, wherein the machine
learning system trains the machine-learned model based on training data
sets that define features of packaging designs and outcomes of the
packaging designs; an artificial intelligence system that receives a
request for packaging design and determines a packaging design
recommendation based on the machine-learned model and the request; and a
digital twin system that generates a package digital twin of a package
that incorporates the packaging design recommendation, wherein the
digital twin system: executes a packaging simulation based on the package
digital twin; issues a packaging design request from the artificial
intelligence system based on a state of the logistics simulation; and
adjusts the state of the logistics simulation based on the packaging
design recommendation output by the artificial intelligence system in
response to the packaging design request.
2. The value chain system of claim 1, wherein the digital twin system outputs a graphical representation of the package digital twin to a display, whereby a user views the simulation via the display.
3. The value chain system of claim 1, wherein the digital twin system outputs a graphical representation of the package digital twin in a graphical user interface, whereby a user edits the packaging design via the graphical user interface.
4. The value chain system of claim 1, wherein the digital twin system outputs a simulation outcome of the simulation to the machine learning system, and the machine learning system reinforces the machine-learned model used to determine the packaging design recommendation based on the simulation outcome.
5. The value chain system of claim 1, wherein the artificial intelligence system receives the request from a packaging design system that designs packaging for physical objects, wherein the request includes one or more packaging factors corresponding to a proposed packaging design for the physical objects.
6. The value chain system of claim 5, wherein the packaging factors include one or more of: a type of the physical objects, dimensions of the physical objects, masses of the physical objects, and shipping methods of the physical objects.
7. The value chain system of claim 1, wherein the packaging design system provides outcome data relating to the packaging design recommendation to the machine learning system, and the machine learning system reinforces the machine-learned model that are used to determine the packaging design recommendation based on the outcome data.
8. The value chain system of claim 1, wherein the artificial intelligence system determines the packaging design recommendation to minimize damage.
9. The value chain system of claim 1, wherein the artificial intelligence system determines the packaging design recommendation to minimize costs.
10. The value chain system of claim 1, wherein the artificial intelligence system determines the packaging design recommendation to mitigate environmental impact.
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