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Evaluating Efficiency of Malaysian Banks Using Data Envelopment Analysis  [cached]
Izah Mohd Tahir,Nor Mazlina Abu Bakar,Sudin - Haron
International Journal of Business and Management , 2009, DOI: 10.5539/ijbm.v4n8p96
Abstract: Data Envelopment Analysis (DEA) Approach is used to estimate the overall, pure technical and scale efficiencies for Malaysian commercial banks during the period 2000-2006. The results suggest that domestic banks were relatively more efficient than foreign banks. Our results also suggest that domestic banks’ inefficiency were attributed to pure technical inefficiency rather than scale inefficiency. In contrast, foreign banks inefficiency is attributed to scale inefficiency rather than pure technical inefficiency. The study further examines whether the domestic and foreign banks are drawn from the same environment by performing a series of parametric and non-parametric tests. The results from the parametric and non-parametric tests suggest that for the years 2000-2004, both domestic and foreign banks possessed the same technology whereas results for 2005 and 2006 suggest otherwise. This implies that banks in recent years have had access to different and more efficient technology.
Measuring and evaluating efficiency and effectiveness using goal programming and data envelopment analysis in a fuzzy environment
Nimish Sheth,Triantis Konstantinos
Yugoslav Journal of Operations Research , 2003, DOI: 10.2298/yjor0301035n
Abstract: Generally, in most situations optimal achievement of multiple goals is rarely possible for crisp mathematical programming techniques. In such cases, a compromise achievement of goals that leads to a satisfying solution rather than an optimal solution bears more relevance. The present research introduces a Fuzzy Goal Data Envelopment Analysis (Fuzzy GoDEA) framework to measure and evaluate the goals of efficiency and effectiveness in a fuzzy environment. Fuzzy GoDEA accommodates crisp input and output data but allows imprecise specification of the aspiration levels for the efficiency and effectiveness goals. A membership function is defined for each fuzzy constraint associated with the efficiency and effectiveness goals and represents the degree of achievement of that constraint. Further, the Fuzzy GoDEA framework is extended into several variations that (i) allow the assignment of relative importance to the goals of efficiency and effectiveness and (ii) model scenarios where one of the goals of efficiency and effectiveness is crisp and the other fuzzy. The Fuzzy GoDEA framework is implemented for a newspaper preprint insertion process (NPIP). .
Evaluating efficiency levels comparatively: Data envelopment analysis application for Turkish textile and apparel industry  [cached]
Canan Saricam,Nazan Erdumlu
Journal of Industrial Engineering and Management , 2012, DOI: 10.3926/jiem.560
Abstract: Purpose: The purpose of this study is to show the usage of DEA in efficiency measurement. Design/methodology/approach: The efficiencies of textile and apparel companies were analyzed by input-oriented DEA model under variable return to scale assumption. The textile and apparel companies quoted in Istanbul Stock Exchange for the period 2003 and 2008 were evaluated in terms of efficiency level providing a framework for the calculation of input excesses and output shortages. Findings: The analysis revealed that the average efficiency scores of the apparel industry was higher than the textile industry and two industries together. The companies in the apparel industry should overcome the lack of insufficient level of exports whereas the textile industry needs to increase gross value added in order to be more efficient. Research limitations/implications: Because of missing data, four companies from textile industry and one company from apparel industry were ignored although they took place in the records of Istanbul Stock Exchange. Practical implications: This study provided a framework for DEA application in determination and comparison of efficiency performance in an industry level. Originality/value: Selecting the groups compared as textile industry, apparel industry and the two industries in general allowed discussing the comparative efficiencies of two industries eliminating the industry specific pitfalls.
Evaluating the Efficiency in which Risk is Managed in a Portfolio of IT Projects: A Data Envelopment Analysis Approach  [cached]
Antonio Juarez Alencar,Erica Castilho Gr?o,Eber Assis Schmitz,Alexandre Luis Correa
Journal of Software , 2012, DOI: 10.4304/jsw.7.1.186-195
Abstract: This paper presents a method that allows managers and information technology professionals to better evaluate how efficiently risk is being managed within the confines of a portfolio of software projects. The method, which is based upon optimization and risk modeling, favors actions that increase the efficiency of risk management and, as a result, the likelihood of projects being delivered on time, within budget and in accordance with the requirements they were intended to be satisfied.
Efficiency and Ranking Measurement of Vendors by Data Envelopment Analysis  [cached]
Hadi Shorouyehzad,Farhad Hoseinzadeh Lotfi,Mirbahador Aryanezhad,Reza Dabestani
International Business Research , 2011, DOI: 10.5539/ibr.v4n2p137
Abstract: One of the key issues in logistics management context is the measurement of the vendors’ efficiency which helps companies to achieve the most appropriate services. In today’s competitive condition, most of the firms have changed from a single vendor to a multi-vendor point of view. A number of conceptual and analytical models have also been developed for identifying the vendor selection problems. It has been recognized that a lot of factors may influence the vendors’ efficiency therefore a suitable approach is required to consider major factors in order to select the most efficient ones. This paper presents a practical approach for evaluating vendors which provide the required services in a procurement situation. This approach uses data envelopment analysis to evaluate the vendors’ efficiency. Anderson and Peterson model is also applied to rank the efficient vendors. The criteria considered in this model are service quality, price, average of late deliveries and rate of rejected parts. A case study is implemented in a pipe manufacturing company to prove the mentioned methods. Findings pinpoint that the vendors which present the best services are not necessarily the most efficient one. This research also provides an appropriate framework for organization to examine the vendors’ efficiency and also choose some effective ways to improve vendors’ performance.
Evaluating performance of supply chain based on network data envelopment analysis  [PDF]
Mohammad Mahallati Rayeni,Faranak Hosseinzadeh Saljooghi
Management Science Letters , 2013,
Abstract: Supply chain is one of the most important parts of industrial and economic problems. Measuring relative performance of supply chain is often tedious task since there is a need to deal with the multiple performance measures associated with members of supply chain, which integrate and coordinate the performance overall production system. Traditional approaches for measuring relative efficiency of supply chain cannot be applied directly for evaluating the relative efficiency of supply chains. This is because some measures linked to supply chain members cannot be simply classified as “outputs” or “inputs” of the supply chain. We present different models, which directly evaluate the performance of the supply chain as well as its members, while considering the relationship among the members. The modeling processes are based on the concept of non-cooperative and cooperative games. In this paper, we propose network data envelopment analysis for measuring relative performance of supply chain, which considers the system by distinct processes or stages, each one with its own inputs and outputs and with intermediate flows among the stages. The proposed method reduces computations to determine the relative efficiency of overall supply chain and efficiency of each the supply chain members.
Improving of Efficiency in Data Envelopment Analysis with Interval Data
M. Mahallati Rayeni,F.H. Saljooghi
The International Journal of Applied Economics and Finance , 2010,
Abstract: Aim of this research is study efficiency of Decision Making Units (DMUs) with interval data using Data Envelopment Analysis (DEA) models. The DEA is a widely applied approach for measuring the relative efficiencies of a set of DMUs which uses multiple inputs to produce multiple outputs. An assumption underlying DEA is that all the data are known exactly. But in reality, many factors cannot be measured in a precise manner. In recent years, in different applications of DEA, inputs and outputs have been observed whose values are indefinite. Such data are called imprecise. Imprecise data can be probabilistic, interval, ordinal, qualitative or fuzzy. In this study, we investigate an interval DEA model, in the case that the inputs and outputs are located within the bounded intervals. The resulting model is non-linear and then we convert it to a linear one. Also minimal variations of input and output intervals are computed to achieve to full efficiency. Indeed, we propose a new method for improving of efficiency classifications of DMUs with interval data in data envelopment analysis.
A Comprehensive Evaluating Way of Enterprise Performance Based on Data Envelopment Analysis
Wei Wang
International Journal of Business and Management , 2009,
Abstract: In former researches there are primarily theoretical studies and qualitative analyses on enterprise effectiveness and performance, and there are a few studies on quantitative analyses, which mostly rely on the method of comparing differences and ratio of divergence to evaluate enterprise performance by stage statistics. This paper illustrates how to evaluate Comprehensive Efficiency (CE), which reflects overall development of enterprise performance, depends on measuring Output Efficiency Index (OEI) and Cost Efficiency Index (CEI) of enterprise performance, and adopts the C2R model in Data Envelopment Analysis (DEA).
Economic efficiency of radiology wards using data envelopment analysis: Case study of Iran  [PDF]
Ali Keshtkaran, Mohsen Barouni, Ramin Ravangard, Mohammad Yandrani
Health (Health) , 2014, DOI: 10.4236/health.2014.65045

Background: In evaluating the activities and performance of radiology units, the main aim of applying feasible scientific methods is to use technological and human resources optimally. One of the suitable scientific methods in this field is determining the technical, economic, and allocative efficacy of these centers. We aimed to assess the economic efficiency of radiology units of hospitals affiliated to Shiraz University of Medical Sciences, southern Iran. Methods: In this descriptive-analytical cross-sectional study, the technical, economical, and allocative efficiency of 27 radiology units of public hospitals was assessed using data envelopment analysis. The input oriented envelopment form with the assumption of the varied outputs with respect to the scale was used. Related forms were filled using the existing information in the archives of radiology centers. Input variables in this study were the number of radiology devices, the number of expert personnel, the number of technicians, equipment maintenance and depreciation costs, and the salaries of the experts and technician. Output variables included the number of admitted patients and the number of photographic film. Then, data were analyzed using the DEAP software for calculating the various forms of efficiency. Results: The mean scores of economic, technical, and allocative efficiencies of radiology units were 0.749, 0.880, and 0.852, respectively. The final score of economical efficiency was lower than the technical and allocative efficiency scores. Only 15% of radiology units were economically efficient. Conclusion: Economical efficiency can be attained when resources are used in the best possible way and not wasted. Therefore, a combination of inputs that comprise the lowest costs should be selected.

Efficiency in the Romanian Banking System: An Application of Data Envelopment Analysis
Revista Romana de Economie , 2009,
Abstract: The paper analyzes the efficiency and productivity of the Romanian banks from 2006-08. It uses a non-parametric approach, the data envelopment analysis (DEA) to analyze banks’ efficiency. Based on a sample of 15 commercial banks, our findings reveal that although the efficiency of the Romanian commercial banks improved since 2006, the cost efficiency scores are relatively low. Also, even if in 2007 the total factor productivity increased, in 2008 this score of the average productivity of banks decreased.
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