DEA-based port efficiency improvement and stepwise benchmarking target selection

Jaehun Park, Sungmook Lim, Hyerim Bae

Research output: Contribution to journalArticlepeer-review

5 Scopus citations

Abstract

Data envelopment analysis (DEA) has been extensively utilized to evaluate the efficiency of port terminals and derive benchmarking methods. However, these studies have not considered the minimization of resources necessary to select benchmarking target and have not provided any clear information regarding which resources should be preferentially improved to increase efficiency. To address these issues, we propose a DEA-based stepwise benchmarking method that can gradationally select benchmarking targets by considering a minimization of inputs reduction and outputs expansion and can prioritize resources for improving efficiency. To achieve this goal, we suggest a benchmarking distance niinimization model and a sensitivity analysis applied DEA method. We conducted a benchmarking of 30 major international ports to illustrate me effectiveness of our method.

Original languageEnglish
Pages (from-to)6155-6171
Number of pages17
JournalInformation (Japan)
Volume15
Issue number12 C
StatePublished - Dec 2012

Keywords

  • Data envelopment analysis
  • Efficiency
  • Port terminal
  • Stepwise benchmarking

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