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Multicriteria Model to Sort Suppliers in a Brazilian Dairy Industry

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  • Ana Maria Rodrigues Silva

    (Federal Rural University of Pernambuco, Ponte dos Carvalhos, Brazil)

  • Marcos Felipe Falcao Sobral

    (Federal Rural University of Pernambuco, Ponte dos Carvalhos, Brazil)

Abstract

This paper describes a real application of a multicriteria decision aid to sort suppliers in the Brazilian dairy industry located in Serra Talhada City. This region is very arid, and farmers have difficulty maintaining the quality required for dairy production. Five criteria were identified by the dairy farmers: production capacity, product quality, cost, transportation and distance from the manufacturing site. The most appropriate method was chosen to sort clients with respect to the preferred structure of the decision maker to obtain the parameters. This study involved eight milk suppliers that were allocated into three ordinated classes. No supplier was allocated into the best class (very good), five were considered regular, and three were inadequate. The use of multicriteria modeling enabled the decision maker to establish a new metric to evaluate suppliers while simultaneously considering multiple criteria.

Suggested Citation

  • Ana Maria Rodrigues Silva & Marcos Felipe Falcao Sobral, 2017. "Multicriteria Model to Sort Suppliers in a Brazilian Dairy Industry," International Journal of Decision Support System Technology (IJDSST), IGI Global, vol. 9(3), pages 42-53, July.
    • Handle: RePEc:igg:jdsst0:v:9:y:2017:i:3:p:42-53
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