Article

Performance based stratification and clustering for benchmarking of container terminals

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Benchmarking of container terminals is an important issue facing port management. Data envelopment analysis (DEA), which is a multi-factor productivity measurement tool is generally used in assessing the relative efficiency of homogenous units and setting benchmark for inefficient units. Evaluation of container terminals by DEA produces limited set of efficient units which are reference to inefficient units irrespective of their differences in efficiency scores. DEA projects the lowest efficient units to highest efficient units but in reality, the reference set may be very different in size, environment and operating practices. Every container terminal is characterized by some physical values that represent relevant properties of the terminal. DEA, if employed alone, to measure the efficiency and set benchmark for inefficient terminals to improve efficiency may give biased result because all container terminals vary in their capacity. In order to overcome this shortcoming, in this paper, data mining and DEA are fused to provide a diagnostic tool to effectively measure the efficiency of inefficient terminals and prescribe a step-wise projection to reach the frontier in accordance with their maximum capacity and similar input properties which otherwise is not possible with DEA alone.

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Ketersediaan

Informasi Detail

Judul Seri

Expert Systems with Applications

No. Panggil

ATC LO JIN p

Penerbit

Korea : Elsevier., 2009

Deskripsi Fisik

3 p.

Bahasa

English

ISBN/ISSN

-

Klasifikasi

LO

Tipe Isi

-

Tipe Media

-

Tipe Pembawa

online resource

Edisi

-

Subjek

efficiency
Data envelopment analysis
Container terminals
Self-organizing map

Info Detail Spesifik

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Pernyataan Tanggungjawab

Song Jin Yu

Versi lain/terkait

Lampiran Berkas

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