[PDF] Top 20 A Method for Identifying Congestion Using Non-Radial Models in Data Envelopment Analysis

... Data envelopment analysis (DEA) as a non-parametric technique has been widely used to measure the relative efficiency of a set of similar decision making units (DMUs) which was introduced in ... See full document

... of congestion. The concept of congestion was first introduced in the literatures by Färe and Grosskopf [5] in the context of ...of congestion with a unified ...additive models and proposed a ... See full document

... Data envelopment analysis (DEA) is a non-parametric technique based on mathematical programming for the performance assessment of a set of decision making units ...Cooper) models ... See full document

... a non-parametric (Data Envelopment Analysis) method to analyze the efficiency of farmers, discriminate efficient farmers from inefficient ones and to identify wasteful uses of energy in ... See full document

... as Data Envelopment Analysis (DEA) has been developed to use non- discretionary inputs that affect ...of non- discretionary ...pervious models and performs relatively ... See full document

... a non-parametric method of Data Envelopment Analysis (DEA) has used to estimate the energy efficiency of grapefruit production orchards in Sari region of ...determined. Data were ... See full document

... of congestion has resulted from the excessive use of the personnel and the huge granted ...has congestion since its efficiency is unequal to 1 and there exists at least one input with non- zero ... See full document

... DEA models often need replacing the assumption of free disposability of outputs by weak disposability of ...of non-radial data envelopment analysis (DEA) models for ... See full document

... DEA models, the resulting DEA models are called super eciency DEA ...DEA models, the ecient units have a super eciency score greater than or equal to ...and non-extreme ecient units have a ... See full document

... Data envelopment analysis (DEA) is a non-parametric method for the evaluation of the efficiency of a set of homogeneous decision making units (DMUs) with multiple inputs and multiple ... See full document

... DEA models, inefficient DMUs re- duce their inputs and increase their outputs (with considering desirable factors) arbitrarily to meet the efficient ...and non-radially. In radial models, ... See full document

... Data envelopment analysis (DEA) is a non-parametric method that is widely used for relative efficiency and performance evaluation of the set of decision-making units ...DEA ... See full document

... studied congestion -long disregarded in the economics- was the one by Fare and Svensson [15] in ...of congestion were defined and described for a production function of single ...a data ... See full document

... Data Envelopment Analysis (DEA) is an efficient method to perform evaluation of ...some models. On the other hand benefiting this concept, we can identify non-efficient ...are ... See full document

... DEA models are a general tool for efficiency and performance evaluation of the set of homogenous DMUs that spend multiple w inputs and transform them into multiple t ... See full document

... instruments using a matching ...services, using data provided by the 1993–1995 Italian innovation ...industry data to investigate the connection between compensation ... See full document

... mathematical models are often only im- precisely or ambiguously known to the ...numerical data which can be represented by means of fuzzy sets of the real line known as fuzzy ...a method using ... See full document

... sampling method and produces 11 (eleven) companies as research samples. Data analysis techniques used are Data Envelopment Analysis (DEA) to measure the level of financial ... See full document

... the data dimension using Principal Component Technique (which has been established as a failure), other measures of influence can be devised for each Input and Output variables and there by the data ... See full document

... in data envelopment analysis; this problem happens when the efficiency of units is inaccurately measured by conventional models such as CCR and BCC; in such cases, the efficiency scores ... See full document