Resumo

GANGA, Gilberto Miller Devós; CARPINETTI, Luiz Cesar Ribeiro  e  POLITANO, Paulo Rogério. A fuzzy logic approach to supply chain performance management. Gest. Prod. [online]. 2011, vol.18, n.4, pp. 755-774. ISSN 0104-530X.  http://dx.doi.org/10.1590/S0104-530X2011000400006.

Supply chain measurement is a complex activity due to the broad taxonomy of variables (quantitative or qualitative; financial or non-financial, and others). This scenario results in a vague and subjective process to evaluate performance. Accordingly, the fuzzy logic seems to be a viable approach to measure Supply Chain Performance. This work proposes the creation of a simulation environment, developed on FuzzyTECH platform. It is based on a hierarchical model of SCOR metrics, which aims the assessment of the supply chain performance. The goal of such model is to evaluate systemically the supply chain performance establishing the cause-effect relation can be between performance attributes and levels 1 and 2 of the SCOR metrics. The findings showed great consistency when compared to the SCORmark approach suggested by the Supply Chain Council for a benchmarking process. The model is expected to be a useful tool in the supply chain performance diagnosis and improvement process contributing to strategic supply chain management decision-making processes.

Palavras-chave : Supply chain metrics; Model SCOR; Performance evaluation system; Fuzzy logic; SCOR simulation.