Predictive process control for a manufacturing process

A system comprising:

• one or more processors;
• and
• a non-transitory memory storing instructions that, when executed by the one or more processors, cause the one or more processors to perform operations comprising:
• receiving, by a deep-learning controller, one or more control values associated with a process station in a manufacturing process, wherein the one or more control values are attributes of the process station;
• predicting, by the deep-learning controller, an expected value for an article of manufacture output from the process station, based on the one or more control values;
• determining if the deep-learning controller can control the manufacturing process based on the expected value;
• and
• assuming control of the manufacturing process by the deep-learning controller based on the expected value.

A non-transitory computer-readable storage medium comprising instructions stored therein, which when executed by one or more processors, cause the one or more processors to perform operations comprising:

• receiving, by a deep-learning controller, one or more control values associated with a process station in a manufacturing process, wherein the one or more control values are attributes of the process station;
• predicting, by the deep-learning controller, an expected value for an article of manufacture output from the process station, based on the one or more control values;
• determining if the deep-learning controller can control the manufacturing process based on the expected value;
• and
• assuming control of the manufacturing process by the deep-learning controller based on the expected value.