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Advisor(s)
Abstract(s)
The supplier selection process is considered one of the most relevant decisions in supply
chain management due to its effect on the product quality and on buyer performance. Supplier
selection is often unstructured, and is generally based on the lowest-price proposal. However,
this type of selection involves a high risk, sometimes resulting in project delays, poor quality
of acquired goods, and large financial losses. Price is undoubtedly an important criterion when
choosing a supplier; however, other equally important criteria must be considered. Therefore,
supplier selection should be formulated as a multi-criteria decision-making (MCDM) problem. This
study uses the PROMETHEE-GAIA (Preference Ranking Organization Method for Enrichment of
Evaluations—Geometrical Analysis for Interactive Assistance) method to classify and select suppliers
in an agrifood company. One of the advantages of this method is that it allows decision-makers to set
their preferences considering all the relevant criteria simultaneously, and their relative importance.
The case study demonstrates that PROMETHEE constitutes a flexible MCDM tool for supplier
evaluation and selection, rank the different alternatives, and provide valuable insights. The results
show that the supplier selection process has a strong point related to the existence of two groups of
suppliers, one focused on economic criteria and other related to the innovative capacity. However,
a flaw emerges, as little relevance is associated to the environmental criterion.
Description
Keywords
Supply Chain Management Multiple criteria analysis PROMETHEE-GAIA Decision making Logistics
Citation
Publisher
MDPI