Digital-twin-enabled artificial intelligence system for distributed additive manufacturing

An information technology system for a distributed manufacturing network, the information technology system comprising:

• an additive manufacturing platform, implemented by at least one processor, configured to manage workflows for a set of distributed manufacturing network entities associated with the distributed manufacturing network,
• wherein at least one distributed manufacturing network entity of the set of distributed manufacturing network entities is a mobile distributed manufacturing network entity that is deployed to a point of service,
• wherein the mobile distributed manufacturing network entity is configured to manufacture at least one of:
• tools or parts to support at least one of:
• repairs or replacements performed at the point of service, and
• wherein the additive manufacturing platform is configured to generate a set of digital twins;
• an artificial intelligence system configured to be executed by a data processing system, implemented by the at least one processor, in communication with the additive manufacturing platform,
• wherein the artificial intelligence system is configured to execute a set of simulations using the set of digital twins,
• wherein the set of digital twins integrates with an instruction set according to which a product digitally represented by the set of digital twins was additively manufactured,
• wherein the artificial intelligence system is trained to generate process parameters for the workflows managed by the additive manufacturing platform using data collected from the set of distributed manufacturing network entities and using the data collected from the set of simulations, and
• wherein the artificial intelligence system is configured to execute the set of simulations and generate the process parameters while the mobile distributed manufacturing network entity is in transit to the point of service;
• and
• a control system, implemented by the at least one processor, configured to adjust the process parameters during an additive manufacturing process performed by at least one distributed manufacturing network entity of the set of distributed manufacturing network entities.