Proactive control of manufacturing processes using historical data

摘要: Today's enterprises have complex manufacturing processes with several automation systems. These systems generate enormous amount of data in real-time representing feedbacks, positions, and alerts, among others. This can be stored relational databases as historical which used for product tracking genealogy, so forth. However, is not been utilized to proactively control the processes. The current contribution proposes a novel methodology overcome aforementioned drawback. encompasses three process steps. First, offline identification critical control-related parameters defining case base utilizing previously identified parameters. Second, update acquired from during execution Finally, employ similarity search algorithms retrieve similar cases adapt retrieved proactively. proposed validated molding machine.