On using DEA for benchmarking container terminals

On using DEA for benchmarking container terminals Purpose – The purpose of this paper is to compare efficiency scores from the benchmarking exercise with those of previous studies and to discuss the reasons behind diverging results. Design/methodology/approach – This paper uses data envelopment analysis (DEA) on primary data of large container terminals. Findings – The results differ strongly from those available in the literature. Causes for these differences are: public (secondary) data are not always accurate; different terminal types are compared; terminals of different scale are compared; and terminals are mixed with ports. Practical implications – DEA may be appropriate for container terminal benchmarking, but only if better quality and additional input and output data can be obtained. In its application, the analysis should be controlled for terminal types. Originality/value – Summary of the state of play in the use of DEA methodologies for comparing the efficiency of container terminals at ports. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png International Journal of Operations & Production Management Emerald Publishing

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Publisher
Emerald Publishing
Copyright
Copyright © 2009 Emerald Group Publishing Limited. All rights reserved.
ISSN
0144-3577
DOI
10.1108/01443570911000168
Publisher site
See Article on Publisher Site

Abstract

Purpose – The purpose of this paper is to compare efficiency scores from the benchmarking exercise with those of previous studies and to discuss the reasons behind diverging results. Design/methodology/approach – This paper uses data envelopment analysis (DEA) on primary data of large container terminals. Findings – The results differ strongly from those available in the literature. Causes for these differences are: public (secondary) data are not always accurate; different terminal types are compared; terminals of different scale are compared; and terminals are mixed with ports. Practical implications – DEA may be appropriate for container terminal benchmarking, but only if better quality and additional input and output data can be obtained. In its application, the analysis should be controlled for terminal types. Originality/value – Summary of the state of play in the use of DEA methodologies for comparing the efficiency of container terminals at ports.

Journal

International Journal of Operations & Production ManagementEmerald Publishing

Published: Oct 16, 2009

Keywords: Data analysis; Benchmarking; Freight containers

References

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