one of the important issues in data envelopment analysis (dea) is sensitivity analysis. heretofore the existent studies have considered the data modification of inputs and outputs in one or multiple dmus. in this paper the number of dmus is increased and a stability region is obtained in  by applying defining hyperplanes in which if the added dmu (only one dmu) is in this region then all of the...

Here, we describe a novel spontaneous autosomal recessive mutation in the mouse that is characterized by skeletal and cardiac muscle degeneration. We have named this mutant degenerating muscle (dmu). At birth, mutant mice are indistinguishable from their normal littermates. Thereafter, the disease progresses rapidly and a phenotype is first observed at approximately 11 days after birth; the dmu...

Data Envelopment Analysis (DEA) cannot provide adequate discrimination among efficient decision making units (DMUs). To discriminate these efficient DMUs is an interesting research subject. The purpose of this paper is to develop the mix integer linear model which was proposed by Foroughi (Foroughi A.A. A new mixed integer linear model for selecting the best decision making units in data envelo...

In the current collaborative and extended-enterprise environment, product definition must be exchanged between original equipment manufacturers (OEM) and other partners who contribute to the evolution of product definition. In many cases, an information package, which is associated with other objects in the DMU, must thus be extracted from the OEM’s Digital Mock -up (DMU) and be sent to partner...

Data Envelopment Analysis (DEA) is the use of non-parametric mathematical programming that useful for measuring efficiency Decision Making Unit (DMU) an organization. This study uses Cooper and Rhodes (CCR) method known as DEA-CCR multiplier which aims to determine weight value each input output variable DMU being evaluated, but it not sufficient measure optimization. To get efficient a referen...

Reverse Engineering (RE) of mechanical parts consists in creating a 3D virtual model using data that are often gathered by 3D measurement systems like laser scanners. The resulting point cloud is then transformed into a geometrical model. The purpose of RE activity is to make maintenance or redesign operations easier. The boundary of the literature is the component, isolated from its product as...

Data Envelopment Analysis (DEA) is one of the best-known efficiency evaluation methods due to its advantages in selection of weights. Many research papers have extensively discussed the issue of weight restrictions, rather than those implied in the model itself. However, this often leads to a failure to represent the relations of certain weights, as well as underestimation of the efficiency of ...

data envelopment analysis (dea) is a widely recognized approach for evaluating the efficiencies of decision making units (dmus). because of easy and successful application and case studies, dea has gained much attention and widespread use by business and academy researchers. the conventional dea models (e.g. bcc and ccr) make an assumption that input and output data are exact values on a ratio ...

Z. Naturforsch. 55 b, 386-388 (2000); received February 10, 2000 Photochemistry, Copper(I), Uracil, Luminescence 1,3-Dimethyluracil (DMU) forms a complex with copper(I) iodide which shows a green luminescence at Amax = 505 nm. With PF6~ counter ions a photoactive Cu(I)DMU complex is generated which shows a long-wavelength absorption at Amax = 335 nm. Light absorption by this band leads to a dim...

Abstract: In DEA, there are typically two schemes for measuring efficiency of DMUs; radial and non-radial. Radial models assume proportional change of inputs/outputs and usually remaining slacks are not directly accounted for inefficiency. On the other hand, non-radial models deal with slacks of each input/output individually and independently, and integrate them into an efficiency measure, cal...