a data envelopment analysis model for rank ordering suppliers in the oil industry

Clicks: 75
ID: 197734
2002
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Abstract
The benefits of integration companies-suppliers top the strategic agendas of managers. Developing a system showing which suppliers merit continuing and deepening the partnership is difficult because of the large quantity of variables to be analyzed. The internationalized petroleum industry, requiring a large variety of materials, is no different. In this context, the Brazilian company PETROBRAS S.A. has a system to evaluate its suppliers based on a consensus panel formed by its managers. This paper shows a two phase methodology for classifying and awarding suppliers using the DEA model. Firstly, the suppliers are classified according to their efficiency based on commercial transactions realized. Secondly they are classified according to the opinions of the managers, using a DEA model for calculating votes, with the assurance regions and superefficiency defining the best suppliers. The paper presents a case study in the E&P segment of PETROBRAS and the results obtained with the methodology.
Reference Key
brando2002pesquisaa Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors ;Rocha Rafael Brandão;Cavalcanti Netto Maria Aparecida
Journal t\"urk ya\csam bilimleri dergisi
Year 2002
DOI
DOI not found
URL
http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0101-74382002000200002
Keywords
logistics of supplymathematics

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