Despite the growing amount of research into container-port operations and efficiency, much of the literature on the subject treats container ports and terminals as black box systems without examining the structure of their transformation and production processes. Research on the network and multi-stage structure of container-terminal operating systems is scarce and its applications in the conte…
Despite an increasing number of studies on the efficiency of container terminals, their focus has mostly been on advanced and emerging markets. There are limited studies on container terminals in developing countries such as those of the Middle Eastern region, which are located in a critical geographic position in the international maritime route between the East and the West. Information on th…
This paper introduces a Malmquist CO2 emission performance index (MCPI) for measuring changes in total factor carbon emission performance over time. The MCPI is derived by solving several data envelopment analysis models. Bootstrapping MCPI is proposed to perform statistical inferences on the MCPI results. Using the index the emission performance of the world's 18 top CO2 emitters from 1997 …
Data Envelopment Analysis (DEA) is a computationally convenient way to measure efficiency that does not require an explicit functional relationship between inputs and outputs. However, because the frontier is constructed using extreme observations, DEA can be sensitive to extreme points, especially when data may be contaminated by measurement error. In such settings, the technical efficiency sc…
This paper undertakes two tasks: measurement of seaport infrastructure productivity growth in North America from 1984 to 1997, and exploration of several theorized causal relationships between infrastructure productivity and industry structure and conduct. A methodology is presented, data envelopment analysis (DEA), for measuring infrastructure productivity. Tobit regression is presented as a m…
Presents an approach for evaluating the number of vendors to employ in a procurement situation using multiobjective programming (MOP) and data envelopment analysis (DEA). The approach advocates developing vendor-order quantity solutions (referred to as supervendors) using MOP and then evaluating the efficiency of these supervendors on multiple criteria using DEA. Formulations are presented for …
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 ana…
In this paper, we propose a number of non-radial, output-oriented, centralised DEA models to determine individual and collective output target levels, input slacks and input reallocations as well as additional inputs acquisitions under a capital budget constraint. The application of the proposed approach to the Spanish Port Agency is presented. The overall amount of inefficiency currently found…
This paper undertakes two tasks: measurement of seaport infrastructure productivity growth in North America from 1984 to 1997, and exploration of several theorized causal relationships between infrastructure productivity and industry structure and conduct. A methodology is presented, data envelopment analysis (DEA), for measuring infrastructure productivity. Tobit regression is presented as a m…
This paper investigates the efficiency of container terminals within the context of global supply chain management. The efficiency and scale properties of 104 of Europe’s container terminals with annual throughput of over 10,000 TEUs1 in 2003, distributed across 29 European countries, are derived using data envelopment analysis. The main findings are that significant inefficiency pervades mos…
The efficiency of the container port industry has been variously studied utilising either Data Envelopment Analysis (DEA) or Stochastic Frontier Analysis (SFA). Given the strengths and weaknesses associated with these two approaches, the efficiency estimates and scale properties derived from these analyses are not always convincing. This paper applies both approaches to the same set of containe…
The center of global container traffic has been shifted from the Europe and the U.S.A. to the region of Northeast Asia, which mainly includes China Japan and Korea. How to survive in the fiercest competitive environment and to optimize the logistics network in the region of Northeast Asia is becoming a hot topic in both business and academic area. This paper proposes a scheme to estimate the te…
The purpose of this paper is to assess the efficiency, effectiveness and performance of logistics companies in Singapore and Malaysia which are the growing logistics hubs in Asia by using a triangular data envelopment analysis (DEA). It also identifies various factors that significantly affect the efficiency, effectiveness and performance of the Singaporean and Malaysian logistics companies and…
Applications of Data Envelopment Analysis (DEA) to container port production have been largely restricted to standard DEA models using cross-sectional data. The efficiency results derived may be biased; for instance, as the result of random effects or a recent investment in future production. In overcoming this problem, panel data on container port production may be more suitable for medium- to…
This paper presents an application of centralized data envelopment analysis (CDEA) to analyse the performance of a number of container terminals supervised by one liner shipping company. It provides a systematic and centralized perspective of resource reallocation based on one company’s perspective. The numerical results show that two of the ve dedicated terminals are, by and large, efcient…
We develop two slacks-based efficiency measures for modeling environmental performance on the basis of environmental DEA technology. Of the two measures, one is a composite index with a higher discriminating power for modeling economic–environmental performance, and the other can be used to estimate the impacts of environmental regulations. We apply the proposed measures to model the CO2 emis…
Indian dry ports (inland cargo-consolidation and distribution centres) are expected to play a pivotal role in connecting the North Indian heartland with the gateway seaports of Mundra, JNPT and Chennai. However, in this process, dry ports contribute considerably to the vexing problem of atmospheric pollution because of the ensuing road and rail transportation. There is a considerable body of re…
This paper focuses on measuring the efficiency of container terminals in Europe using the data envelopment analysis (DEA) approach. Container terminals in Europe play an important role in the region’s economic development and, as the result of their geographic concentration, face fierce competition compared with the rest of the world. Despite this, studies of the efficiency of container termi…
The purpose of this paper is to develop a framework for route selection in multimodal transportation which can reduce cost, lead time, risk and CO2 emission in multimodal transportation systems.
The purpose of this paper is to analyze the longitudinal efficiency of branch operations of a third party logistics (3PL) company for comparative performance measurement and internal benchmarking.
The purpose of this paper is to introduce an innovative data envelopment analysis (DEA) model entitled “Non-binary Arithmetic Operator Dual-role” (NAOD) under free disposability assumption for selecting the refrigerated containers in cold chain management (CCM).
Indian Railways being sole government organization for infrastructure, operations and regulatory functions entered for competition in the container segment in January 2006 through private-public participation for customer-centric competitiveness to break monopolistic control of Container Corporation of India (CONCOR) introducing limited licensing policy. The purpose of this research work is to …
Indian Railways being sole government organization for infrastructure, operations and regulatory functions entered for competition in the container segment in January 2006 through private-public participation for customer-centric competitiveness to break monopolistic control of Container Corporation of India (CONCOR) introducing limited licensing policy. The purpose of this research work is to …
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 inef…