Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/6250
Title: An Uncertainty Analysis of Supplier Selection by Fuzzy Logic
Authors: Başkır, M. Bahar
Türkşen, İsmail Burhan
Keywords: [No Keywords]
Issue Date: 2010
Publisher: IEEE
Source: 2010 IEEE World Congress on Computational Intelligence -- JUL 18-23, 2010 -- Barcelona, SPAIN
Series/Report no.: IEEE International Conference on Fuzzy Systems
Abstract: Organizations have to be competitive in their market throughout the globalization process. Thus, they need to achieve customer demands in strategic ways focusing on customer satisfaction. At this point, decision makers encounter with uncertainties based on reducing the deviation in the production/service processes. The uncertainty problem of supplier selection for a Turkish Machinery Industry Corporation will be discussed in this paper. The uncertainty due to the subjective assessment used in supplier selection will be modeled by fuzzy logic. The structure identification of supplier selection system will be modeled with fuzzy functions. Comparisons of fuzzy functions and membership functions based on uncertainty problem of supplier selection system will be discussed.
URI: https://hdl.handle.net/20.500.11851/6250
ISBN: 978-1-4244-6920-8
ISSN: 1098-7584
Appears in Collections:Endüstri Mühendisliği Bölümü / Department of Industrial Engineering
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

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