Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/6497
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dc.contributor.authorNikghadam, Shahrzad-
dc.contributor.authorÖzbayoğlu, Ahmet Murat-
dc.contributor.authorÜnver, Hakkı Özgür-
dc.contributor.authorKılıç, Sadık Engin-
dc.date.accessioned2021-09-11T15:36:56Z-
dc.date.available2021-09-11T15:36:56Z-
dc.date.issued2016en_US
dc.identifier.citationConference on Engineering Cyber Physical Systems: Applying Theory to Practice -- NOV 02-04, 2016 -- Los Angeles, CAen_US
dc.identifier.issn1877-0509-
dc.identifier.urihttps://doi.org/10.1016/j.procs.2016.09.323-
dc.identifier.urihttps://hdl.handle.net/20.500.11851/6497-
dc.description.abstractVirtual Enterprise (VE) is a temporary platform for individual enterprises to collaborate with each other, sharing their core competencies to fulfill a customer demand. In order to improve the customer satisfaction, the most successful VEs select their consortium's members based on customer's preferences. There is quite extensive literature in the field of partner selection in VE, each proposing a new approach to evaluate and select the most appropriate partners among pool of enterprises. However, none of the studies in literature recommend which partner selection methodology should be used in each project with a particular customer attitude. In this study an algorithm is proposed which classifies the customers into three categories; passive, standard and assertive. Three different approaches; Fuzzy Logic-FAHP TOPSIS and Goal programming are used for each customer type respectively. This classification is beneficial since the problem's characteristics; such as vagueness of data, change as the customer's attitude varies. The results certify that, adopting this algorithm not only helps the VE to select the most appropriate partners based on customer preferences, but also the model adapts itself to each customer's attitude. As a result, the overall system flexibility is significantly improved. (C) 2016 The Authors. Published by Elsevier B.V.en_US
dc.description.sponsorshipMissouri Univ Sci & Technolen_US
dc.description.sponsorshipSAN-TEZ project of the Turkish Ministry of Science, Technology and Industry [00979.STZ.2011-12]; OSTIM Industrial Park management, OSTIM Technology RD A.Sen_US
dc.description.sponsorshipThis study has been funded by SAN-TEZ project No. 00979.STZ.2011-12 of the Turkish Ministry of Science, Technology and Industry. The authors are sincerely thankful for the continued support of OSTIM Industrial Park management, OSTIM Technology R&D A.S.en_US
dc.language.isoenen_US
dc.publisherElsevier Science Bven_US
dc.relation.ispartofComplex Adaptive Systemsen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectVirtual Enterpriseen_US
dc.subjectPartner Selectionen_US
dc.subjectMulti Criteria Decision Makingen_US
dc.titleDesign of a Customer's Type Based Algorithm for Partner Selection Problem of Virtual Enterpriseen_US
dc.typeConference Objecten_US
dc.relation.ispartofseriesProcedia Computer Scienceen_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.volume95en_US
dc.identifier.startpage467en_US
dc.identifier.endpage474en_US
dc.authorid0000-0001-7998-5735-
dc.identifier.wosWOS:000392696000058en_US
dc.identifier.scopus2-s2.0-84999066567en_US
dc.institutionauthorÖzbayoğlu, Aahmet Murat-
dc.institutionauthorÜnver, Hakkı Özgür-
dc.identifier.doi10.1016/j.procs.2016.09.323-
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.relation.conferenceConference on Engineering Cyber Physical Systems: Applying Theory to Practiceen_US
dc.identifier.scopusquality--
item.openairetypeConference Object-
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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