[PDF] Top 20 Enhanced methods for benchmarking and ranking in data envelopment analysis

... The research is started on the various concepts and properties of DEA in order to review the capabilities and shortcomings of basic DEA models and techniques. In the first step, simple examples are proposed to depict the ... See full document

... QFD-imprecise enhanced Russell graph measure (QFD-IERGM) is proposed for incorpo- rating the criteria such as cost of services and implementation easiness in ...for ranking DRs is proposed and then will be ... See full document

... common methods for estimating assessment of DMUs The analysis compares the relative efficiency of organizational “units” such as bank branches, hospitals, vehicles, shops and other cases where units perform ... See full document

... effective methods for improving the efficiency of an organization is benchmarking against successful ...only benchmarking could be a technique for identifying problems but also it greatly helps ... See full document

... of methods based either on the traditional approach to evaluate the efficiency of a ...measurement methods can be divided into three main categories: Ratio Indicators, Parametric and Non-Parametric ... See full document

... inverse analysis is ...the analysis more difficult, especially when it is intended to order the DMUs by ...some methods discussed by Angulo-meza et al. (2002). One used methods is known as ... See full document

... Data envelopment analysis (DEA) is a mathematical programming technique to evaluate relative efficiency of decision making units (DMUs) with multiple input- ...proposed methods for ... See full document

... Data envelopment analysis (DEA) is a non-parametric method for measuring efficiency of a set of Decision Making Units (DMUs) such as firms or a public sector agencies, first introduced by Charnes, ... See full document

... (Data Envelopment Analysis) is a technique for evaluating the relative effectiveness of decision-making units (DMU) with multiple inputs and outputs data based on non- parametric modeling ... See full document

... The units under evaluation are divided into efficient and inefficient units by using DEA models. Fundamental DEA models such as CCR, BCC,...etc give score one to efficient units. When the number of efficient units be ... See full document

... the ranking of the journals in the field of technology forecasting (TF) through the application of the Data Envelopment Analysis - ...the ranking of 39 journals in the field of TF over ... See full document

... If developed purposefully, the utilization of common weights can contribute to full ranking. The main goal of Wang et al. (Wang, Luo, Liang, 2009) is to introduce a minimum weight restriction and as a side effect, ... See full document

... statistical methods based on average or hypothetical maximum efficiencies, which provides an estimate of the relative efficiency by a border limit (efficiency), which informs points limits of productivity where a ... See full document

... past data cannot be a beacon of light to guide the organization towards the fu- ...numerous methods have been proposed up to now, including the method presented by [1]; it uses goal programming to search ... See full document

... Data Envelopment Analysis (DEA) is a nonparametric method used in operations research and economics to estimate the production ...for ranking of states using DEA approach is clearly described ... See full document

... In Cambodia, this is the first study of OD productiv- ity, and indeed it adds to a very limited body of evidence on health district efficiency (most studies which have been done in low and middle income settings have ... See full document

... Efficiency Ranking Approach In models (a), (b) and (c), which based on a combination of Data Envelopment Analysis and Goal Programming, different results are obtained from each ...efficiency ... See full document

... Nemoto and Goto [6] extended DEA to a dynamic framework. In the previous DEA research effort, Nemoto and Goto(1999) added an important per- spective on dynamic DEA. Their research incor- porates two different types of ... See full document

... and these models classify units into just two categories, efficient and inefficient, third: These models do not have the ability to separate and distinguish between results, sufficiently. Hence this article aims to solve ... See full document

... in data envelopment analysis have the performance equal to one, while in the inefficient models, the performance is less than ...the Data Envelopment Analysis is the number of ... See full document