Cómo mejorar la evaluación de proveedores mediante sistemas de inferencia borrosos

Abstract

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.