Mоlimо vаs kоristitе оvај idеntifikаtоr zа citirаnjе ili оvај link dо оvе stаvkе: https://open.uns.ac.rs/handle/123456789/6890
Nаziv: An approach of fuzzy models for supplier assessment and selection
Аutоri: Simić, Dragan 
Svirčević V.
Simić, Maja
Dаtum izdаvаnjа: 1-јан-2014
Čаsоpis: Advances in Intelligent Systems and Computing
Sažetak: © 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
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