Measuring Economic Efficiency of Kidney Bean Production using Non-Discretionary Data Envelopment Analysis

Non-discretionary Factors in Data Envelopment Analysis: Review and Extension

Data Envelopment Analysis Models In The Presence Of Ratio Data and Non-Discretionary Factors

Measuring Technical Efficiency of the Iranian Post Company Using Data Envelopment Analysis (DEA)

 Given that improvement in efficiency is a major resource to economic development, this can be applied to each domestic sector of an economy. The objective of this paper is to measure technical efficiency of the Iranian Post Company across the country’s provinces using data envelopment analysis (DEA). The ranking of technical efficiency has been calculated by using collected data on post offi...

Measuring efficiency of physician practices using data envelopment analysis.

PURPOSE Medical-group practices are becoming increasingly common-place, with more than a third of licensed physicians in the United States currently working in this mode. While previous studies have focused on physician practices, little attention has been focused specifically on the contribution of internal organizational factors to overall physician practice efficiency. This paper develops a ...

Measuring the efficiency of a three-stage network using data envelopment analysis approach considering dual boundary

This paper presents a method for performance evaluation, ranking and clustering based on the double-frontier view to analyze the complex networks. The model allows us to open the structure of the “black box” and can help to obtain important information about efficient and inefficient points of the system. In this paper, we consider a three-stage network, in respect to the additional desirable a...

Non-discretionary imprecise data in efficiency Measurement

This paper introduces discretionary imprecise data in Data Envelopment Analysis (DEA) and discusses the efficiency evaluation of Decision Making Units (DMUs) with non-discretionary imprecise data. Then, suggests a method for evaluation the efficiency of DMUs with non-discretionary imprecise data. When some inputs and outputs are imprecise and non-discretionary, the DEA model becomes non-linear ...