Evaluation of partner companies based on fuzzy inference system for establishing virtual enterprise consortium

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dc.authorscopusid55268244800
dc.authorscopusid57023941000
dc.authorscopusid57947593100
dc.authorscopusid6603873269
dc.authorscopusid7006243664
dc.contributor.authorKılıç, Sadık Engin
dc.contributor.authorLotfiSadigh,B.
dc.contributor.authorOzbayoglu,A.M.
dc.contributor.authorUnver,H.O.
dc.contributor.authorKilic,S.E.
dc.contributor.otherManufacturing Engineering
dc.date.accessioned2024-07-05T15:44:33Z
dc.date.available2024-07-05T15:44:33Z
dc.date.issued2015
dc.departmentAtılım Universityen_US
dc.department-tempNikghadam S., Mechanical Engineering Department, Middle East Technical University, Ankara, Turkey; LotfiSadigh B., Mechanical Engineering Department, Middle East Technical University, Ankara, Turkey; Ozbayoglu A.M., Computer Engineering Department, TOBB University of Economics and Technology, Ankara, Turkey; Unver H.O., Mechanical Engineering Department, TOBB University of Economics and Technology, Ankara, Turkey; Kilic S.E., Mechanical Engineering, Atilim University, Ankara, Turkeyen_US
dc.descriptionInstitute for Systems and Technologies of Information, Control and Communication (INSTICC)en_US
dc.description.abstractVirtual Enterprise (VE) is one of the growing trends in agile manufacturing concepts. Under this platform companies with different skills and core competences are cooperate with each other in order to accomplish a manufacturing goal. Success of VE, as a consortium, highly depends on the success of its partners. So it is very important to choose the most appropriate companies to enroll in VE. In this study a Fuzzy Inference System (FIS) based approach is developed to evaluate and select the potential enterprises. The evaluation is conducted based on four main criteria; unit price, delivery time, quality and past performance. These criteria are considered as inputs of FIS and specific membership functions are designed for each. By applying fuzzy rules the output of the model, partnership chance, is calculated. In the end, the trustworthy of the model is tested and verified by comparing it with fuzzy-TOPSIS technique providing a sample. © Springer International Publishing Switzerland 2015.en_US
dc.identifier.citation2
dc.identifier.doi10.1007/978-3-319-27680-9_7
dc.identifier.endpage115en_US
dc.identifier.isbn978-331927679-3
dc.identifier.issn1865-0929
dc.identifier.scopus2-s2.0-84952063664
dc.identifier.scopusqualityQ4
dc.identifier.startpage104en_US
dc.identifier.urihttps://doi.org/10.1007/978-3-319-27680-9_7
dc.identifier.urihttps://hdl.handle.net/20.500.14411/3782
dc.identifier.volume577en_US
dc.language.isoenen_US
dc.publisherSpringer Verlagen_US
dc.relation.ispartofCommunications in Computer and Information Science -- 4th International Conference on Operations Research and Enterprise Systems, ICORES 2015 -- 10 January 2015 through 12 January 2015 -- Lisbon -- 159359en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectFuzzy Inference Systemen_US
dc.subjectPartner selectionen_US
dc.subjectVirtual enterpriseen_US
dc.titleEvaluation of partner companies based on fuzzy inference system for establishing virtual enterprise consortiumen_US
dc.typeConference Objecten_US
dspace.entity.typePublication
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relation.isOrgUnitOfPublication9804a563-7f37-4a61-92b1-e24b3f0d8418
relation.isOrgUnitOfPublication.latestForDiscovery9804a563-7f37-4a61-92b1-e24b3f0d8418

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