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Intelligent organization for flexible manufacturing

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dc.contributor.author Varvatsoulakis, MN en
dc.contributor.author Saridis, GN en
dc.contributor.author Paraskevopoulos, PN en
dc.date.accessioned 2014-03-01T01:15:39Z
dc.date.available 2014-03-01T01:15:39Z
dc.date.issued 2000 en
dc.identifier.issn 1042-296X en
dc.identifier.uri https://dspace.lib.ntua.gr/xmlui/handle/123456789/13654
dc.subject discrete event systems en
dc.subject intelligent control en
dc.subject manufacturing systems en
dc.subject scheduling en
dc.subject.classification Automation & Control Systems en
dc.subject.classification Engineering, Electrical & Electronic en
dc.subject.classification Robotics en
dc.subject.other MACHINES en
dc.title Intelligent organization for flexible manufacturing en
heal.type journalArticle en
heal.identifier.primary 10.1109/70.843174 en
heal.identifier.secondary http://dx.doi.org/10.1109/70.843174 en
heal.language English en
heal.publicationDate 2000 en
heal.abstract Intelligent production scheduling has been viewed as a problem-solving task that involves the generation of a suitable schedule among different ones using learning techniques. This work presents a unified model for a class of intelligent machines, suitable for flexible manufacturing systems, in which each alternative production plan comprises a fixed number of sequential steps, and the task is to select the optimal plan as more experience is obtained during the operation of the system. This model, based on the theory of hierarchically intelligent control systems developed by Saridis, combines the powerful high-level decision making with advanced mathematical modeling and synthesis techniques of system theory and methods of dealing with imprecise or incomplete environment information. en
heal.publisher IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC en
heal.journalName IEEE TRANSACTIONS ON ROBOTICS AND AUTOMATION en
dc.identifier.doi 10.1109/70.843174 en
dc.identifier.isi ISI:000087432200007 en
dc.identifier.volume 16 en
dc.identifier.issue 2 en
dc.identifier.spage 180 en
dc.identifier.epage 189 en


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