KNOWLEDGE MANAGEMENT IN THE PETROLEUM INDUSTRY: A MULTIATTRIBUTE APPROACH

This article deals with the relationship between knowledge management and the use of multicriteria decision aiding methods. As a case study, it presents an application of the multiattribute value function to the evaluation and selection of oil refining technologies. The analysis model used here was developed from interviews with technicians involved in the selection of technologies and was validated by its application to a selection process. It used a technique of swing weighting for the calibration of the multiattribute value function, with a sensitivity analysis. The final conclusion of the article is that multicriteria methods can constitute important instruments of knowledge management, provided that they have been previously modelled in systems which simplify their use, conferring agility to the decision making process. It is suggested that further studies of the application of decision aiding, as a knowledge management tool, be extended to other areas of application.

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