Evaluation of Partner Companies Based on Fuzzy Inference System for Establishing Virtual Enterprise Consortium

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dc.authorscopusid 55268244800
dc.authorscopusid 57023941000
dc.authorscopusid 57947593100
dc.authorscopusid 6603873269
dc.authorscopusid 7006243664
dc.contributor.author Nikghadam,S.
dc.contributor.author LotfiSadigh,B.
dc.contributor.author Ozbayoglu,A.M.
dc.contributor.author Unver,H.O.
dc.contributor.author Kilic,S.E.
dc.contributor.other Manufacturing Engineering
dc.date.accessioned 2024-07-05T15:44:33Z
dc.date.available 2024-07-05T15:44:33Z
dc.date.issued 2015
dc.department Atılım University en_US
dc.department-temp Nikghadam 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, Turkey en_US
dc.description Institute for Systems and Technologies of Information, Control and Communication (INSTICC) en_US
dc.description.abstract Virtual 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.citationcount 2
dc.identifier.doi 10.1007/978-3-319-27680-9_7
dc.identifier.endpage 115 en_US
dc.identifier.isbn 978-331927679-3
dc.identifier.issn 1865-0929
dc.identifier.scopus 2-s2.0-84952063664
dc.identifier.scopusquality Q4
dc.identifier.startpage 104 en_US
dc.identifier.uri https://doi.org/10.1007/978-3-319-27680-9_7
dc.identifier.uri https://hdl.handle.net/20.500.14411/3782
dc.identifier.volume 577 en_US
dc.institutionauthor Kılıç, Sadık Engin
dc.language.iso en en_US
dc.publisher Springer Verlag en_US
dc.relation.ispartof Communications in Computer and Information Science -- 4th International Conference on Operations Research and Enterprise Systems, ICORES 2015 -- 10 January 2015 through 12 January 2015 -- Lisbon -- 159359 en_US
dc.relation.publicationcategory Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı en_US
dc.rights info:eu-repo/semantics/closedAccess en_US
dc.scopus.citedbyCount 2
dc.subject Fuzzy Inference System en_US
dc.subject Partner selection en_US
dc.subject Virtual enterprise en_US
dc.title Evaluation of Partner Companies Based on Fuzzy Inference System for Establishing Virtual Enterprise Consortium en_US
dc.type Conference Object en_US
dspace.entity.type Publication
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relation.isAuthorOfPublication.latestForDiscovery d70c9839-4358-47dd-834e-fc115cb0fca3
relation.isOrgUnitOfPublication 9804a563-7f37-4a61-92b1-e24b3f0d8418
relation.isOrgUnitOfPublication.latestForDiscovery 9804a563-7f37-4a61-92b1-e24b3f0d8418

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