Abstract
ABSTRACT Objective: the objective is to compare the relative efficiency of the railways specialized in transporting iron ore (MFe) and pellets (PLMFe), which are part of the assets of mining companies and pellet plants considering the 2016 scenario. Methods: the methods used were the data envelopment analysis (DEA) technique, with the application of the output-oriented constant returns scale (CRS) model; the initial combinatorial multicriteria method for choosing the input variables; and Tobit regression as a validation strategy for the DEA model. Results: of the twelve railways evaluated, three railways were identified as efficient: Estrada de Ferro Carajás, Fortescue, and Mount Newman. Conclusions: the applied model was considered a good method to evaluate the efficiency of railways specialized in transporting MFe and PLMFe, as it determined the efficiency of each railway, suggesting the necessary increase in the output variable or adjustments in the input variables so that the railways reach the efficiency frontier. With that, companies can use the results of this study to guide future improvements to make their railways more efficient or maintain them on the frontier of efficiency.
Highlights
This technological article (Motta, 2017) is oriented to practitioners and to those interested in studying the efficiency of railways specialized in transporting iron ore (MFe) and pellets (PLMFe) and/or the data envelopment analysis method (DEA)
This section discusses the results and analyses of the comparison of the railways specialized in transporting minério de ferro (MFe) and PLMFe, characterized by applying the DEA method
The results indicate the need to increase TKU for non-efficient decisionmaking units (DMUs), it is necessary to assess whether companies are able and/or interested in investing to increase production and whether mines/pelletizers can expand production
Summary
This technological article (Motta, 2017) is oriented to practitioners and to those interested in studying the efficiency of railways specialized in transporting iron ore (MFe) and pellets (PLMFe) and/or the data envelopment analysis method (DEA).Objectively, this study evaluates the relative efficiency of the railways specialized in transporting MFe and PLMFe, which are part of mining companies’ and pelletizing plants’ heritage, using the DEA technique. This technological article (Motta, 2017) is oriented to practitioners and to those interested in studying the efficiency of railways specialized in transporting iron ore (MFe) and pellets (PLMFe) and/or the data envelopment analysis method (DEA). The MFe is a mineral found in nature in the form of rocks mixed with other elements Through beneficiation processes, it is obtained in granularity and amount of iron content ideal to be sold to the steel industries. The PLMFe is a cluster of MFe in a spherical shape, obtained through an industrial process, taking advantage of the fines generated during the ore extraction, which were discarded. Both MFe and PLMFe are fundamental to the global economy as they are inputs for steelmaking
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