{"id":{"repo_id":"uiuc","oai_identifier":"oai:www.ideals.illinois.edu:2142/21402"},"canonical_url":"https://search.dev.ndltd.org/etd/uiuc/oai:www.ideals.illinois.edu:2142/21402","repository":{"repo_id":"uiuc","name":"University of Illinois - Urbana-Champaign","base_url":"https://www.ideals.illinois.edu/oai-pmh"},"display":{"title":"Applying machine learning to the design of decision support systems for intelligent manufacturing","abstract":"This paper presents a Decision Support System (DSS) with inductive learning capability for model management. Simulation is used as the primary environment for modeling manufacturing systems and their processes. We propose an adaptive DSS framework for incorporating machine learning into the real time scheduling of a Flexible Manufacturing System (FMS).","abstract_html":"This paper presents a Decision Support System (DSS) with inductive learning capability for model management. 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Computational results show that such a pattern directed scheduling approach leads to superior system performance. It also provides a new framework for developing adaptive DSS.","Made available in DSpace on 2011-05-07T13:07:38Z (GMT). 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