Automatic simulation generation
AssigneeX Development LLC
InventorsRyan Butterfoss, David Andre, Salil Vijaykumar Pradhan, Rebecca Radkoff
Life of this patent
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Abstract
Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for automatic generation of a supply chain simulation. The methods, systems, and apparatus include actions of obtaining supply chain data of a supply chain, generating a supply chain network graph that represents relationships between locations indicated by the supply chain data, determining classifications of the locations indicated by the supply chain data, determining agent rule models based on the supply chain data, and generating a supply chain simulation based on the supply chain network graph, the classifications of the locations, and the agent rule models.
Claims14
A computer-implemented method comprising:
- obtaining supply chain data of a supply chain;
- generating a supply chain network graph that represents relationships between locations indicated by the supply chain data;
- determining classifications of the locations indicated by the supply chain data;
- determining agent rule models based on the supply chain data;
- and
- generating a supply chain simulation based on the supply chain network graph, the classifications of the locations, and the agent rules, wherein generating the supply chain simulation comprises:
- receiving a natural language user input specifying one or more constraints of the simulation;
- providing the natural language input as input to a trained transformer network that is configured to generate constraint representations from natural language inputs, wherein the transformer network has a tuning layer that generates constraint representations from internal representations;
- generating the simulation according to the supply chain network graph, the classifications of the locations, and the agent rule models, and the one or more constraints;
- and,
- receiving, as output from the transformer network, one or more constraint representations for the natural language input.
A system comprising:
- one or more computers and one or more storage devices storing instructions that are operable, when executed by the one or more computers, to cause the one or more computers to perform operations comprising:
- obtaining supply chain data of a supply chain;
- generating a supply chain network graph that represents relationships between locations indicated by the supply chain data;
- determining classifications of the locations indicated by the supply chain data;
- determining agent rule models based on the supply chain data;
- and
- generating a supply chain simulation based on the supply chain network graph, the classifications of the locations, and the agent rules;
- wherein generating the supply chain simulation comprises:
- receiving a natural language user input specifying one or more constraints of the simulation;
- providing the natural language input as input to a trained transformer network that is configured to generate constraint representations from natural language inputs, wherein the transformer network has a tuning layer that generates constraint representations from internal representations;
- generating the simulation according to the supply chain network graph, the classifications of the locations, and the agent rule models, and the one or more constraints;
- and,
- receiving, as output from the transformer network, one or more constraint representations for the natural language input.
One or more non-transitory computer storage media encoded with computer program instructions that when executed by one or more computers cause the one or more computers to perform operations comprising:
- obtaining supply chain data of a supply chain;
- generating a supply chain network graph that represents relationships between locations indicated by the supply chain data;
- determining classifications of the locations indicated by the supply chain data;
- determining agent rule models based on the supply chain data;
- and
- generating a supply chain simulation based on the supply chain network graph, the classifications of the locations, and the agent rules;
- wherein generating the supply chain simulation comprises:
- receiving a natural language user input specifying one or more constraints of the simulation;
- providing the natural language input as input to a trained transformer network that is configured to generate constraint representations from natural language inputs, wherein the transformer network has a tuning layer that generates constraint representations from internal representations;
- generating the simulation according to the supply chain network graph, the classifications of the locations, and the agent rule models, and the one or more constraints;
- and,
- receiving, as output from the transformer network, one or more constraint representations for the natural language input.
Dependencies are inferred from the claim text.