Please use this identifier to cite or link to this item: https://open.uns.ac.rs/handle/123456789/6890
Title: An approach of fuzzy models for supplier assessment and selection
Authors: Simić, Dragan 
Svirčević V.
Simić, Maja
Issue Date: 1-Jan-2014
Journal: Advances in Intelligent Systems and Computing
Abstract: © Springer International Publishing Switzerland 2014. Supply chain management and strategic sourcing are one of the fastest growing areas of management. Costs of purchasing raw material and components parts from external suppliers are very important. The search for new suppliers is a continuous priority for companies in order to upgrade the variety and typology of their production range. Supplier assessment and selection is one of the most important components of supply chain, and it influences the long term commitments and performance of the company. Good suppliers allow enterprises to achieve good manufacturing performance and make the maximum benefits for practitioners. This paper outlines some current approaches of fuzzy models which are implemented in the terms to improve supplier assessment and selection decision making.
URI: https://open.uns.ac.rs/handle/123456789/6890
ISBN: 9783319079943
ISSN: 21945357
DOI: 10.1007/978-3-319-07995-0_18
Appears in Collections:FTN Publikacije/Publications

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