Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/1164
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dc.contributor.authorSadigh, Bahram Lotfi-
dc.contributor.authorÜnver, Hakkı Özgür-
dc.contributor.authorNikghadam, Shahrzad-
dc.contributor.authorDoğdu, Erdoğan-
dc.contributor.authorÖzbayoğlu, Ahmet Murat-
dc.contributor.authorKılıç, S. Engin-
dc.date.accessioned2019-06-26T07:40:35Z
dc.date.available2019-06-26T07:40:35Z
dc.date.issued2017
dc.identifier.citationSadigh, B. L., Unver, H. O., Nikghadam, S., Dogdu, E., Ozbayoglu, A. M., & Kilic, S. E. (2017). An ontology-based multi-agent virtual enterprise system (OMAVE): part 1: domain model l ing and rule management. International Journal of Computer Integrated Manufacturing, 30(2-3), 320-343.en_US
dc.identifier.issn0951-192X
dc.identifier.urihttps://www.tandfonline.com/doi/full/10.1080/0951192X.2016.1145811-
dc.identifier.urihttps://hdl.handle.net/20.500.11851/1164-
dc.description.abstractNew advancements in computers and information technologies have yielded novel ideas to create more effective virtual collaboration platforms for multiple enterprises. Virtual enterprise (VE) is a collaboration model between multiple independent business partners in a value chain and is particularly suited to small and medium-sized enterprises (SMEs). The most challenging problem in implementing VE systems is ineffcient and inFLexible data storage and management techniques for VE systems. In this research, an ontology-based multi-agent virtual enterprise (OMAVE) system is proposed to help SMEs shift from the classical trend of manufacturing part pieces to producing high-value-added, high-tech, innovative products. OMAVE targets improvement in the FLexibility of VE business processes in order to enhance integration with available enterprise resource planning (ERP) systems. The architecture of OMAVE supports the requisite FLexibility and enhances the reusability of the data and knowledge created in a VE system. In this article, a detailed description of system features along with the rule-based reasoning and decision support capabilities of OMAVE system are presented. To test and verify the functionality and operation of this system, a sample product was manufactured using OMAVE applications and tools with the contribution of three SMEs.en_US
dc.language.isoenen_US
dc.publisherTaylor & Francis Inc.en_US
dc.relation.ispartofInternational Journal Of Computer integrated Manufacturingen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectVirtual Enterpriseen_US
dc.subjectDomain Ontologyen_US
dc.subjectMulti-Agent Systemsen_US
dc.subjectOwlen_US
dc.subjectSemantic Reasoningen_US
dc.titleAn Ontology-Based Multi-Agent Virtual Enterprise System (omave): Part 1: Domain Model<bold>l</Bold>ing and Rule Managementen_US
dc.typeArticleen_US
dc.departmentFaculties, Faculty of Engineering, Department of Computer Engineeringen_US
dc.departmentFaculties, Faculty of Engineering, Department of Mechanical Engineeringen_US
dc.departmentFakülteler, Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümütr_TR
dc.departmentFakülteler, Mühendislik Fakültesi, Makine Mühendisliği Bölümütr_TR
dc.identifier.volume30
dc.identifier.startpage320
dc.identifier.endpage343
dc.authorid0000-0001-7998-5735-
dc.identifier.wosWOS:000390883300007en_US
dc.identifier.scopus2-s2.0-84958776288en_US
dc.institutionauthorÖzbayoğlu, Ahmet Murat-
dc.institutionauthorÜnver, Hakkı Özgür-
dc.identifier.doi10.1080/0951192X.2016.1145811-
dc.authorwosidH-2328-2011-
dc.authorscopusid6505999525-
dc.authorscopusidÜnver, Hakkı Özgür/6603873269-
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.relation.otherSAN-TEZ project of the Turkish Ministry of Science, Technology, and Industry [00979. stz.2011-12]en_US
dc.identifier.scopusqualityQ1-
item.openairetypeArticle-
item.languageiso639-1en-
item.grantfulltextnone-
item.fulltextNo Fulltext-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.cerifentitytypePublications-
crisitem.author.dept02.7. Department of Mechanical Engineering-
crisitem.author.dept02.1. Department of Artificial Intelligence Engineering-
Appears in Collections:Bilgisayar Mühendisliği Bölümü / Department of Computer Engineering
Makine Mühendisliği Bölümü / Department of Mechanical Engineering
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection
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