Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/2012
Title: Evaluation of partner companies based on fuzzy inference system for establishing virtual enterprise consortium
Authors: Nikghadam, Shahrzad
Sadigh, Bahram Lotfi
Özbayoğlu, Ahmet Murat
Ünver, Hakkı Özgür
Kılıç, Sadık Engin
142991
180394
Keywords: Industry
Virtual corporation
virtual enterprises
Issue Date: 2015
Publisher: Springer Verlag
Source: Nikghadam, S., LotfiSadigh, B., Ozbayoglu, A. M., Unver, H. O., & Kilic, S. E. (2015, January). Evaluation of Partner Companies Based on Fuzzy Inference System for Establishing Virtual Enterprise Consortium. In International Conference on Operations Research and Enterprise Systems (pp. 104-115). Springer, Cham.
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.
Description: 4th International Conference on Operations Research and Enterprise Systems (2015 : Lisbon; Portugal)
URI: https://link.springer.com/chapter/10.1007%2F978-3-319-27680-9_7
https://hdl.handle.net/20.500.11851/2012
ISSN: 18650929
Appears in Collections:Bilgisayar Mühendisliği Bölümü / Department of Computer Engineering
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection

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