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Energy aware knowledge extraction from Petri nets supporting decision-making in service-oriented automation
2010
2010 IEEE International Symposium on Industrial Electronics
This paper introduces an approach to decision support systems in service-oriented automation control systems, which considers the knowledge extracted from the Petri nets models used to describe and execute the process behavior. Such solution optimizes the decision-making taking into account multi-criteria, namely productive parameters and also energy parameters. In fact, being manufacturing processes typically energy-intensive, this allows contributing for a clean and saving environment (i.e. a
doi:10.1109/isie.2010.5637342
fatcat:2neslx43wfex5ovizvv6iddhqy