Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/1163
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dc.contributor.authorSadigh, Bahram Lotfi-
dc.contributor.authorNikghadam, Shahrzad-
dc.contributor.authorÖzbayoğlu, Ahmet Murat-
dc.contributor.authorÜnver, Hakkı Özgür-
dc.contributor.authorDoğdu, Erdoğan-
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., Nikghadam, S., Ozbayoglu, A. M., Unver, H. O., Dogdu, E., & Kilic, S. E. (2017). An ontology-based multi-agent virtual enterprise system (OMAVE): part 2: partner selection. International Journal of Computer Integrated Manufacturing, 30(10), 1072-1092.en_US
dc.identifier.issn0951-192X
dc.identifier.urihttps://www.tandfonline.com/doi/full/10.1080/0951192X.2017.1285424-
dc.identifier.urihttps://hdl.handle.net/20.500.11851/1163-
dc.description.abstractA virtual enterprise (VE) is a collaboration model between multiple business partners in a value chain. The VE model is particularly feasible and appropriate for small- and medium-sized enterprises (SMEs) and industrial parks containing multiple SMEs that have different vertical competencies. The VE consortium's success highly depends on its members. Therefore, it is crucial to select the most appropriate enterprises when forming a VE consortium. In this study, a new multi-agent hybrid partner selection algorithm is developed for application in the development of an ontology-based multi-agent virtual enterprise (OMAVE) system. In this platform, the agent's interactions are supported by agent ontology, which provides concepts, properties and all message formats for the agents. Different types of agents collaborate and compete with each other so that unqualified or inefficient enterprises are eliminated from the enterprise pool. Only the remaining enterprises would be allowed to enter the negotiation process and propose in the bidding. The agent-based auctioning platform is coupled with a fuzzy-AHP-TOPSIS algorithm to evaluate partners based on their proposals and background. Accordingly, the winning enterprise for each task is identified and the whole project can be accomplished by assigning tasks to the responsible partners. To test and verify the functionality of the developed OMAVE system, a sample module using OMAVE applications and tools was manufactured. The last section of this paper presents the results of this case study, which validate the applicability of the proposed technique.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.subjectPartner Selectionen_US
dc.subjectMulti-Agent Systemsen_US
dc.subjectBiddingen_US
dc.titleAn Ontology-Based Multi-Agent Virtual Enterprise System (omave): Part 2: Partner Selectionen_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.issue10
dc.identifier.startpage1072
dc.identifier.endpage1092
dc.authorid0000-0001-7998-5735-
dc.identifier.wosWOS:000406504600005en_US
dc.identifier.scopus2-s2.0-85011252546en_US
dc.institutionauthorÖzbayoğlu, Ahmet Murat-
dc.institutionauthorÜnver, Hakkı Özgür-
dc.identifier.doi10.1080/0951192X.2017.1285424-
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 program of 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.dept02.1. Department of Artificial Intelligence Engineering-
crisitem.author.dept02.7. Department of Mechanical 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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