AI software uses genetic algorithms to programmatically arrange production schedules for the best possible outcome based on a number of constraints, which are pre-defined by the user. These rule-based programs cycle through thousands of possibilities, until the most optimal schedule is arrived at which best meets all criteria. Another emerging application for AI in a manufacturing environment is process control, or closed loop processing. In this setting, the software uses algorithms which analyze which past production runs came closest to meeting a manufacturer's goals for the current pending production run.
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