Group efficiency analysis in decision processes: a data envelopment analysis approach

IF 0.5 Q4 ECONOMICS

Croatian Operational Research Review Pub Date : 2019-07-01 DOI:10.17535/CRORR.2019.0008

M. Hekmatnia, A. Amirteimoori, S. Kordrostami

引用次数: 0

Abstract

. Data envelopment analysis (DEA) is a powerful mathematical programming methodology for evaluating the relative eﬃciency of decision-making units (DMUs) with multiple outputs and multiple inputs. In the classic DEA, it has been implicitly assumed that all DMUs perform in a unique technology set and the traditional DEA cannot measure the relative performances of DMUs with dis-similar classes. In other words, if we have diﬀerent groups of DMUs, the traditional DEA models cannot be applied to evaluate such cases. In this paper, it has been assumed that the DMUs do business in diﬀerent groups. We are interested to evaluate the members of the groups. The main aim of this paper is proposing a DEA-based methodology to estimate the technical eﬃciency of DMUs along with diﬀerent groups with diﬀerent technologies. The proposed method is illustrated by an empirical example on banking industry.

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决策过程中的群体效率分析:数据包络分析方法

数据包络分析（DEA）是一种强大的数学规划方法，用于评估具有多个输出和多个输入的决策单元（DMU）的相对效率。在经典DEA中，隐含地假设所有DMU在一个唯一的技术集中执行，而传统DEA不能测量具有不相似类的DMU的相对性能。换言之，如果我们有不同的DMU组，那么传统的DEA模型就无法用于评估此类情况。在本文中，假设DMU在不同的集团中开展业务。我们有兴趣对小组成员进行评估。本文的主要目的是提出一种基于DEA的方法来估计DMU以及具有不同技术的不同群体的技术效率。通过一个银行业的实证例子说明了该方法的有效性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Croatian Operational Research Review ECONOMICS-

CiteScore

1.40

自引率

0.00%

发文量

审稿时长

22 weeks

期刊介绍： Croatian Operational Research Review (CRORR) is the journal which publishes original scientific papers from the area of operational research. The purpose is to publish papers from various aspects of operational research (OR) with the aim of presenting scientific ideas that will contribute both to theoretical development and practical application of OR. The scope of the journal covers the following subject areas: linear and non-linear programming, integer programing, combinatorial and discrete optimization, multi-objective programming, stohastic models and optimization, scheduling, macroeconomics, economic theory, game theory, statistics and econometrics, marketing and data analysis, information and decision support systems, banking, finance, insurance, environment, energy, health, neural networks and fuzzy systems, control theory, simulation, practical OR and applications. The audience includes both researchers and practitioners from the area of operations research, applied mathematics, statistics, econometrics, intelligent methods, simulation, and other areas included in the above list of topics. The journal has an international board of editors, consisting of more than 30 editors – university professors from Croatia, Slovenia, USA, Italy, Germany, Austria and other coutries.