Article

An efficiency analysis of cargo-handling operations at container terminals

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In this paper, a Data Envelopment Analysis approach is used to assess the efficiency of cargo-handling operations at a container terminal and study the factors influencing it. The aim is to provide recommendations that would allow a container terminal to reach high technical efficiency scores, in order to increase its inner productivity. A three-stage methodological framework is proposed to analyze the operational conditions of 152 containerships, along a 6-month period, in a Mexican Container Terminal. In the first stage, a cluster analysis is performed in order to group containerships with homogeneous operational characteristics into clusters. Then, an input-oriented Variable Returns to Scale model is used to compute efficiency scores in each cluster. Scale efficiency, returns to scale, and average efficiency of containerships are reported. In the second stage, two regression models are estimated to relate the efficiency scores obtained to a number of exogenous variables. In the third stage, a decision tree is constructed to gain insights about the efficiency of the cargo-handling operations at container terminals. The results indicate that for every additional hour spent in cargo-handling operations of a containership, the probability of providing an efficient service decreases by 9.58%. Furthermore, using more quay cranes than needed might decrease the probability of providing an efficient service by 99.93%.

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Ketersediaan

Informasi Detail

Judul Seri

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No. Panggil

ATC LO LUN a

Penerbit

Mexico : Crossmark., 2017

Deskripsi Fisik

21 p.

Bahasa

English

ISBN/ISSN

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Klasifikasi

LO

Tipe Isi

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Tipe Media

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Tipe Pembawa

online resource

Edisi

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Subjek

Container Terminal
Data envelopment analysis
Port Logistics
Efficiency analysis
Ship loading operations
Modeling and analysis of container terminals opera

Info Detail Spesifik

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Pernyataan Tanggungjawab

Jorge H. Luna

Versi lain/terkait

Lampiran Berkas

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