Please use this identifier to cite or link to this item:
https://hdl.handle.net/1959.11/61901
Full metadata record
DC Field | Value | Language |
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dc.contributor.author | Shafiq, Syed Imran | en |
dc.contributor.author | Sanin, Cesar | en |
dc.contributor.author | Szczerbicki, Edward | en |
local.source.editor | Editor(s): Affenzeller, Bruzzone, Longo and Pereira | en |
dc.date.accessioned | 2024-08-02T05:57:31Z | - |
dc.date.available | 2024-08-02T05:57:31Z | - |
dc.date.issued | 2019-09 | - |
dc.identifier.citation | Proceedings of the 31st European Modeling & Simulation Symposium (EMSS 2019), p. 9-15 | en |
dc.identifier.isbn | 9788885741256 | en |
dc.identifier.issn | 2724-0029 | en |
dc.identifier.uri | https://hdl.handle.net/1959.11/61901 | - |
dc.description.abstract | <p>This paper proposes knowledge-based modelling framework to manage the storage, analysis, and processing of data, information, and knowledge of a typical Flexible Manufacturing System (FMS). The framework utilizes the concept of virtual engineering object (VEO) and virtual engineering process (VEP) for developing knowledge models of FMS to achieve effective scheduling and manufacturing flexibility. The proposed generic model is capable of capturing in real time the manufacturing data, information and knowledge at every stage of production i.e. at the object level, the process level, and at the factory level. The significance of this study is that it supports decision making by reusing past decisional experience, which will not only help in effective real time data monitoring and processing but also make FMS system more intelligent and ready to function in the virtual Industry 4.0 environment.</p> | en |
dc.language | en | en |
dc.publisher | DIME University of Genoa, DIMEG University of Calabria | en |
dc.relation.ispartof | Proceedings of the 31st European Modeling & Simulation Symposium (EMSS 2019) | en |
dc.title | Knowledge based modelling framework for flexible manufacturing system | en |
dc.type | Conference Publication | en |
dc.relation.conference | EMSS 2019: 31st European Modeling & Simulation Symposium | en |
dc.identifier.doi | 10.46354/i3m.2019.emss.002 | en |
local.contributor.firstname | Syed Imran | en |
local.contributor.firstname | Cesar | en |
local.contributor.firstname | Edward | en |
local.profile.school | School of Science and Technology | en |
local.profile.email | cmaldon3@une.edu.au | en |
local.output.category | E1 | en |
local.record.place | au | en |
local.record.institution | University of New England | en |
local.date.conference | 18th - 20th September, 2019 | en |
local.conference.place | Lisbon, Portugal | en |
local.publisher.place | Italy | en |
local.format.startpage | 9 | en |
local.format.endpage | 15 | en |
local.peerreviewed | Yes | en |
local.contributor.lastname | Shafiq | en |
local.contributor.lastname | Sanin | en |
local.contributor.lastname | Szczerbicki | en |
dc.identifier.staff | une-id:cmaldon3 | en |
local.profile.orcid | 0000-0001-8515-417X | en |
local.profile.role | author | en |
local.profile.role | author | en |
local.profile.role | author | en |
local.identifier.unepublicationid | une:1959.11/61901 | en |
dc.identifier.academiclevel | Academic | en |
dc.identifier.academiclevel | Academic | en |
dc.identifier.academiclevel | Academic | en |
local.title.maintitle | Knowledge based modelling framework for flexible manufacturing system | en |
local.output.categorydescription | E1 Refereed Scholarly Conference Publication | en |
local.conference.details | EMSS 2019: 31st European Modeling & Simulation Symposium, Lisbon, Portugal, 18th - 20th September, 2019 | en |
local.search.author | Shafiq, Syed Imran | en |
local.search.author | Sanin, Cesar | en |
local.search.author | Szczerbicki, Edward | en |
local.open.fileurl | https://rune.une.edu.au/web/retrieve/6a9803ea-ade9-4c8f-93d7-bf4ae839523c | en |
local.uneassociation | No | en |
dc.date.presented | 2019-09-18 | - |
local.atsiresearch | No | en |
local.conference.venue | Altis Grand Hotell | en |
local.sensitive.cultural | No | en |
local.year.published | 2019 | en |
local.year.presented | 2019 | en |
local.fileurl.open | https://rune.une.edu.au/web/retrieve/6a9803ea-ade9-4c8f-93d7-bf4ae839523c | en |
local.fileurl.closedpublished | https://rune.une.edu.au/web/retrieve/6a9803ea-ade9-4c8f-93d7-bf4ae839523c | en |
local.subject.for2020 | 4602 Artificial intelligence | en |
local.date.start | 2019-09-18 | - |
local.date.end | 2019-09-20 | - |
local.profile.affiliationtype | External Affiliation | en |
local.profile.affiliationtype | External Affiliation | en |
local.profile.affiliationtype | External Affiliation | en |
local.date.moved | 2024-08-02 | en |
Appears in Collections: | Conference Publication School of Science and Technology |
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