Please use this identifier to cite or link to this item:
https://hdl.handle.net/1959.11/61812
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DC Field | Value | Language |
---|---|---|
dc.contributor.author | Shafiq, Syed Imran | en |
dc.contributor.author | Szczerbicki, Edward | en |
dc.contributor.author | Sanin, Cesar | en |
dc.date.accessioned | 2024-07-25T09:04:32Z | - |
dc.date.available | 2024-07-25T09:04:32Z | - |
dc.date.issued | 2019-12-23 | - |
dc.identifier.citation | Journal of Intelligent and Fuzzy Systems, 37(6), p. 7155-7167 | en |
dc.identifier.issn | 1875-8967 | en |
dc.identifier.issn | 1064-1246 | en |
dc.identifier.uri | https://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.language | en | en |
dc.publisher | IOS Press | en |
dc.relation.ispartof | Journal of Intelligent and Fuzzy Systems | en |
dc.title | Decisional DNA based intelligent knowledge model for flexible manufacturing system | en |
dc.type | Journal Article | en |
dc.identifier.doi | 10.3233/JIFS-179328 | en |
local.contributor.firstname | Syed Imran | en |
local.contributor.firstname | Edward | en |
local.contributor.firstname | Cesar | en |
local.profile.school | School of Science and Technology | en |
local.output.category | C1 | en |
local.record.place | au | en |
local.record.institution | University of New England | en |
local.publisher.place | The Netherlands | en |
local.format.startpage | 7155 | en |
local.format.endpage | 7167 | en |
local.peerreviewed | Yes | en |
local.identifier.volume | 37 | en |
local.identifier.issue | 6 | en |
local.contributor.lastname | Shafiq | en |
local.contributor.lastname | Szczerbicki | en |
local.contributor.lastname | Sanin | en |
dc.identifier.staff | une-id:cmaldon3 | en |
local.profile.role | author | en |
local.profile.role | author | en |
local.profile.role | author | en |
local.identifier.unepublicationid | une:1959.11/61812 | en |
dc.identifier.academiclevel | Academic | en |
dc.identifier.academiclevel | Academic | en |
dc.identifier.academiclevel | Academic | en |
local.title.maintitle | Decisional DNA based intelligent knowledge model for flexible manufacturing system | en |
local.output.categorydescription | C1 Refereed Article in a Scholarly Journal | en |
local.search.author | Shafiq, Syed Imran | en |
local.search.author | Szczerbicki, Edward | en |
local.search.author | Sanin, Cesar | en |
local.uneassociation | No | en |
local.atsiresearch | No | en |
local.sensitive.cultural | No | en |
local.year.published | 2019 | - |
local.subject.for2020 | 4602 Artificial intelligence | en |
local.profile.affiliationtype | External Affiliation | en |
local.profile.affiliationtype | External Affiliation | en |
local.profile.affiliationtype | External Affiliation | en |
local.date.moved | 2024-07-30 | en |
Appears in Collections: | Journal Article School of Science and Technology |
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