Frontier techniques have been used to measure healthcare provider efficiency in hundreds of published studies. Although these methods have the potential to be useful to decision makers, their utility is limited by both methodological questions concerning their application. The aim of this paper is to examine the data envelopment analysis (DEA) and stochastic frontier analysis (SFA) results in o...

The cement industry, as a primary trade, plays an important role in the development of a country's organization. This industry in Iran, however, despite of profuse benefits such as high-value mines, faces many challenges. Problems such as exploitation of the production require the need for doing research into this area. The main purpose of this paper is to examine the Eco-efficiency in Iran's 2...

Enterprise resources planning (ERP) systems attract many attentions from industry sector because of their ability to facilitate and integrate the enterprise operations. However, many expenses accompany the implementation of these systems and consecutive changes which doing a precise and comprehensive performance evaluation a necessary part of this process. These evaluations should consider oper...

When organizations do not have well defined goals and constraints, traditional mixed integer programming MIP models are ineffective for portfolio selection. In such cases, some organizations revert to building project portfolios based on data envelopment analysis DEA relative efficiency scores. However, implementing the k most efficient projects until resources are expended will not always resu...

Coelli (Oper. Res. Lett. 23 (1998) 143) introduced a multi-stage (MS-) DEA methodology that represents an interesting alternative for the treatment of slacks remaining after proportional correction in inputs or outputs. By solving a sequence of radial models, one thus arrives at the identi5cation of “more representative e7cient points” (in terms of similar input=output mixes). We show that “mos...

Abstract Ports are important and central hubs for logistical activities in transportation chains that contribute to economic growth. Nevertheless, port associated with undesirable impacts such as energy consumption air pollutant emissions. Various policy instruments measures have been developed adopted reduce emissions from ports. In an effort manage all of operations, the search best practices...

Measuring and improving the efficiency of the Chinese commercial banking system has recently attracted increasing interest. Few studies, however, have adopted the two-stage network DEA to explore this issue in the Chinese context. Because the entire operational process of the banking system could be divided into two sub-processes (deposit producing and profit earning), the evaluation of the sub...

Data envelopment analysis (DEA) is a non-parametric approach for performance analysis of decision making units (DMUs) which uses a set of inputs to produce a set of outputs without the need to consider internal operations of each unit. In recent years, there have been various studies dealt with two-stage production systems, i.e. systems which consume some inputs in their first stage to produce ...

In this study, we adopt a three-stage approach, DEA method, Frontier regressions, and DEA method to estimate bank efficiency based on information obtained from 29 banks in Taiwan for the period from 2002 to 2004. In the first stage, we employ super SBM (super Slacks-Based Measure) to estimate the scores relating bank efficiency including internal risk. In the second stage, a stochastic frontier...