High-Level Machine Learning: What Will It Take?
Dec. 13, 2021; Credit: Deepak Turaga, James Wells
Machine algorithms are good at running repeatable processes—those that do not require human judgement to accomplish. However, the experts are still required to handle the “edge” cases, those that are non-standard and require some human intelligence to interpret and resolve. Edge cases in manufacturing involve non-routine things that happen infrequently and, on the surface, do not appear to be repeatable.
Some of these are extremely rare changes such as starting new production lines, qualifying next-generation equipment, replacement of outdated machinery, catastrophic equipment failure, etc. Other edge cases arise more frequently, such as when producing new products—on restoration from failure and maintenance activities—or when new operators are onboarded. In either case, the edge cases require some human intervention to resolve, re-optimize the process and bring it back to a stable state.
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