Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/61812
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dc.contributor.authorShafiq, Syed Imranen
dc.contributor.authorSzczerbicki, Edwarden
dc.contributor.authorSanin, Cesaren
dc.date.accessioned2024-07-25T09:04:32Z-
dc.date.available2024-07-25T09:04:32Z-
dc.date.issued2019-12-23-
dc.identifier.citationJournal of Intelligent and Fuzzy Systems, 37(6), p. 7155-7167en
dc.identifier.issn1875-8967en
dc.identifier.issn1064-1246en
dc.identifier.urihttps://hdl.handle.net/1959.11/61812-
dc.description.abstract<p>Modeling an effective mechanism for design and control strategies for the implementation of a flexible manufacturing system (FMS) has been a challenge. Consequently, to overcome this issue various techniques have applied in the past but most of these models are effective only for some specific situation or an element of FMS. In this study, the knowledge representation technique of Decisional DNA (DDNA) is applied to FMS to develop a generic model to achieve effective scheduling and manufacturing flexibility. Decisional DNA based Virtual Engineering Objects (VEO) are used as communicating media between machines, equipment and works pieces. The concept of Virtual Engineering Process (VEP) is applied for modeling routing flexibility. VEOs combined with VEPs form FMS-DDNA model, which facilitates in enhancing the performance of FMS, by inducing intelligence based on its own previous experience thus making it practical and smart.</p>en
dc.languageenen
dc.publisherIOS Pressen
dc.relation.ispartofJournal of Intelligent and Fuzzy Systemsen
dc.titleDecisional DNA based intelligent knowledge model for flexible manufacturing systemen
dc.typeJournal Articleen
dc.identifier.doi10.3233/JIFS-179328en
local.contributor.firstnameSyed Imranen
local.contributor.firstnameEdwarden
local.contributor.firstnameCesaren
local.profile.schoolSchool of Science and Technologyen
local.output.categoryC1en
local.record.placeauen
local.record.institutionUniversity of New Englanden
local.publisher.placeThe Netherlandsen
local.format.startpage7155en
local.format.endpage7167en
local.peerreviewedYesen
local.identifier.volume37en
local.identifier.issue6en
local.contributor.lastnameShafiqen
local.contributor.lastnameSzczerbickien
local.contributor.lastnameSaninen
dc.identifier.staffune-id:cmaldon3en
local.profile.roleauthoren
local.profile.roleauthoren
local.profile.roleauthoren
local.identifier.unepublicationidune:1959.11/61812en
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
local.title.maintitleDecisional DNA based intelligent knowledge model for flexible manufacturing systemen
local.output.categorydescriptionC1 Refereed Article in a Scholarly Journalen
local.search.authorShafiq, Syed Imranen
local.search.authorSzczerbicki, Edwarden
local.search.authorSanin, Cesaren
local.uneassociationNoen
local.atsiresearchNoen
local.sensitive.culturalNoen
local.year.published2019-
local.subject.for20204602 Artificial intelligenceen
local.profile.affiliationtypeExternal Affiliationen
local.profile.affiliationtypeExternal Affiliationen
local.profile.affiliationtypeExternal Affiliationen
local.date.moved2024-07-30en
Appears in Collections:Journal Article
School of Science and Technology
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