The performance evaluation of a supply chain (SC) is an important step for continuous improvement of business processes. This study proposes a new approach to support the SC performance evaluation based on the combination between SCOR (Supply Chain Operations Reference) model and fuzzy-TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution). It was implemented using MATLAB and applied in an illustrative case. The proposed approach brings several benefits when compared with other approaches, such as: it enables benchmarking against other SCs; the fuzzy-TOPSIS requires few judgments to parameterization, which contributes to the agility of the decision process; it does not limit the number of alternatives simultaneously evaluated; it does not cause the ranking reversal problem when a new alternative is included in the evaluation process.
['Francisco Wellington Rodrigues Lima', 'Luiz Cesar Ribeiro Carpinetti']
Evaluating supply chain performance based on SCOR ® model and fuzzy-TOPSIS