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HOW TO IMPROVE THE SUPPLIERS EVALUATION PROCESS USING FUZZY INFERENCE SYSTEMS

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JULY 2014   -  Volume: 89 -  Pages: 449-456

DOI:

https://doi.org/10.6036/6992

Authors:

NAZARIO GARCIA FERNANDEZ -
FRANCISCO JAVIER PUENTE GARCIA
- ISABEL FERNANDEZ - ALBERTO GOMEZ GOMEZ

Disciplines:

  • Organization and management of enterprises (LOGISTICA )

Downloads:   232

Cites in Web of Science:  3

How to cite this paper:  
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Received Date :   28 October 2013

Reviewing Date :   27 January 2014

Accepted Date :   1 February 2014


Key words:
Evaluación de proveedores, Certificación de proveedores, Sistemas de inferencia borrosos, Modelos de compra.Supplier evaluation, Supplier Certification, Fuzzy inference Systems, Purchasing model.
Article type:
ARTICULO DE INVESTIGACION / RESEARCH ARTICLE
Section:
RESEARCH ARTICLES

Traditional supplier evaluation models are usually highly dependent on the purchasing managers’ know-how and their subjective judgments. Recent years have witnessed the proposal of many models to assist in this type of evaluation some of which are not eligible for small and medium enterprises (SMEs), due to their complexity and difficulty of implementation. Some others, despite its simplicity, often provide performance problems.
The goal of this paper is twofold. It seeks to design a supplier evaluation model to be both, robust enough about their valuation method and easy to implement and use.
Among the different existing valuation methods, a fuzzy inference system proves its suitability not only because it achieves the goals of the paper, but also because it demonstrates to be more efficient than other traditional assessment methods -such as weighting factors-, and it is widely accepted in SMEs according to the results of an empirical validation study.

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