Evaluation Method of DEA Efficiency Values Based on Hierarchical Structure

2012 ◽  
Vol 132 (2) ◽  
pp. 206-213 ◽  
Author(s):  
Kazushige Inoue ◽  
Shingo Aoki ◽  
Hiroshi Tsuji
Keyword(s):  
Hierarchical Structure ◽  
Evaluation Method ◽  
Dea Efficiency

scholarly journals A Slack-Based Measures for Improving the Efficiency Performance of Departments in Universitas Malikussaleh

2018 ◽  
Vol 7 (2.14) ◽  
pp. 491 ◽  
Author(s):  
Dahlan Abdullah ◽  
Tulus . ◽  
Saib Suwilo ◽  
Syahril Efendi ◽  
Hartono . ◽  
...  
Keyword(s):  
Decision Making ◽  
Evaluation Method ◽  
Research Technology ◽  
Use Of Resources ◽  
A Value ◽  
Decision Making Unit ◽  
Efficiency Performance ◽  
Dea Efficiency ◽  
The Republic ◽  
Performance Evaluation Method

Data Envelopment Analysis (DEA) is a data-oriented performance evaluation method that has a very satisfactory performance when there are multiple inputs and outputs presented in the form of set of peer Decision Making Units (DMU). In the discussion of DEA, basically measures the efficiency of each DMU in specific performance based on DEA Efficiency Scores. In DEA, when there is a value of Non-Zero Input and Output Slacks then this often means inefficiency. This scalar measures directly with the input surplus and the output of the short decision of the decision making unit (DMU). Universitas Malikussaleh as one of the State Universities in Indonesia, it is necessary to follow the regulations of the Ministry of Research, Technology and Higher Education of the Republic of Indonesia (KEMENRISTEKDIKTI), one of which is the measurement of efficiency based on the number of lecturers research, the efficient use of resources included in the number of lecturers and employees, as well as students who can be accommodated based on efficiency measurements using DEA. This paper will measure the efficiency of each department in Malikussaleh University and if there is an inefficient department then it will be measured based on slack-based measures to advise aspects that need attention so that the department can be efficient.  

scholarly journals The influence and countermeasures of the application of blockchain on the investment efficiency of cultural industry ——- DEA Analysis of listed companies based on blockchain concept

2021 ◽  
Vol 233 ◽  
pp. 02027
Author(s):  
Jian-bo LI ◽  
Rui ZHANG ◽  
Yue YIN
Keyword(s):  
Evaluation Method ◽  
Listed Companies ◽  
Investment Efficiency ◽  
Cultural Industry ◽  
Trust System ◽  
New Development ◽  
Dea Efficiency ◽  
Dea Analysis ◽  
Block Chain ◽  
Industry Investment

Block chain technology has changed the traditional digital economy, promoted the formation of a new value and trust system, and at the same time triggered the transformation of cultural industry, providing a means to improve investment efficiency. This paper takes the listed companies of cultural industry in the concept of block chain as the research sample, and uses DEA efficiency evaluation method to empirically analyze the change of cultural industry investment efficiency. The results show that: block chain technology has an impact on pure technical efficiency and also promotes profit growth. However, the development and application of block chain technology need to be more integrated with cultural industry investment to open up a new development path for the traditional information society.

Two-Stage Evaluation Method of Dynamic Network DEA

2011 ◽  
Vol 204-210 ◽  
pp. 583-588
Author(s):  
Jian Yong Liu ◽  
Kun Pang ◽  
Ling Li ◽  
Cheng Qun Fu ◽  
Jie Guo
Keyword(s):  
Network Structure ◽  
Systems Analysis ◽  
Evaluation Method ◽  
Dynamic Network ◽  
Data Envelopment ◽  
Two Stage ◽  
Good Tool ◽  
Network Dea ◽  
Dea Efficiency ◽  
Set Up

In view of the defect that network DEA (data envelopment analysis) can not reflect the network structure when it comes to dynamic evaluation, we proposed a two-stage evaluation method of dynamic network DEA. Time parameter was introduced to network DEA and dynamic network DEA model was established. In order to evaluate the efficiency of dynamic network DEA in several time spans, we built a two-stage evaluation method. In the first stage, dynamic network DEA efficiency matrix was formulated. In the second one, a new input-output DEA unit was set up to evaluate the synthetical efficiency of dynamic network DEA. The two-stage method can manifest the real dynamic property in network DEA, as well as consider the network structure which involves intermediate products by dynamic measure. A numerical example indicated that the two-stage evaluation method can solve dynamic network DEA problem efficiently, it can also provide improved information between inefficient DMU and optimum values by slacks. The new measure can be a good tool of systems analysis.

scholarly journals EVALUATION METHOD FOR FISHESFOCUSING ON HIERARCHICAL STRUCTURE OF PHISYCAL HABITAT

2004 ◽  
Vol 48 ◽  
pp. 1567-1572
Author(s):  
Takeyoshi CHIBANA ◽  
Tetsuro TSUJIMOTO ◽  
Nobuyuki TAMAI
Keyword(s):  
Hierarchical Structure ◽  
Evaluation Method

Relationships between hierarchical structure and properties in macromolecular systems

1987 ◽  
Vol 45 ◽  
pp. 440-443
Author(s):  
E. Baer
Keyword(s):  
Uniaxial Tension ◽  
Hierarchical Structure ◽  
Inorganic Material ◽  
Hierarchical Structures ◽  
Bone Collagen ◽  
Structure And Properties ◽  
Connective Tissues ◽  
Scale Level ◽  
Fibrous Protein ◽  
Macromolecular Systems

The most advanced macromolecular materials are found in plants and animals, and certainly the connective tissues in mammals are amongst the most advanced macromolecular composites known to mankind. The efficient use of collagen, a fibrous protein, in the design of both soft and hard connective tissues is worthy of comment. Very crudely, in bone collagen serves as a highly efficient binder for the inorganic hydroxyappatite which stiffens the structure. The interactions between the organic fiber of collagen and the inorganic material seem to occur at the nano (scale) level of organization. Epitatic crystallization of the inorganic phase on the fibers has been reported to give a highly anisotropic, stress responsive, structure. Soft connective tissues also have sophisticated oriented hierarchical structures. The collagen fibers are “glued” together by a highly hydrated gel-like proteoglycan matrix. One of the simplest structures of this type is tendon which functions primarily in uniaxial tension as a reinforced elastomeric cable between muscle and bone.

Evaluation method for imaging plate resolution by means of phase contrast transfer function

1995 ◽  
Vol 53 ◽  
pp. 662-663 ◽  
Author(s):  
T. Oikawa ◽  
H. Kosugi ◽  
F. Hosokawa ◽  
D. Shindo ◽  
M. Kersker
Keyword(s):  
Transfer Function ◽  
Phase Contrast ◽  
Evaluation Method ◽  
Amorphous Film ◽  
Imaging Plate ◽  
X Rays ◽  
Special Shape ◽  
Contrast Transfer Function ◽  
Contrast Image ◽  
Specimen Shape

Evaluation of the resolution of the Imaging Plate (IP) has been attempted by some methods. An evaluation method for IP resolution, which is not influenced by hard X-rays at higher accelerating voltages, was proposed previously by the present authors. This method, however, requires truoblesome experimental preperations partly because specially synthesized hematite was used as a specimen, and partly because a special shape of the specimen was used as a standard image. In this paper, a convenient evaluation method which is not infuenced by the specimen shape and image direction, is newly proposed. In this method, phase contrast images of thin amorphous film are used.Several diffraction rings are obtained by the Fourier transformation of a phase contrast image of thin amorphous film, taken at a large under focus. The rings show the spatial-frequency spectrum corresponding to the phase contrast transfer function (PCTF). The envelope function is obtained by connecting the peak intensities of the rings. The evelope function is offten used for evaluation of the instrument, because the function shows the performance of the electron microscope (EM).

Combining Values

2002 ◽  
Vol 7 (2) ◽  
pp. 1-4, 12 ◽  
Author(s):  
Christopher R. Brigham
Keyword(s):  
Lower Extremity ◽  
Upper Extremity ◽  
Evaluation Method ◽  
Proximal Phalanx ◽  
Common Error ◽  
The Third ◽  
Whole Person ◽  
Impairment Ratings ◽  
Upper Extremity Impairment ◽  
The Individual

Abstract To account for the effects of multiple impairments, evaluating physicians must provide a summary value that combines multiple impairments so the whole person impairment is equal to or less than the sum of all the individual impairment values. A common error is to add values that should be combined and typically results in an inflated rating. The Combined Values Chart in the AMA Guides to the Evaluation of Permanent Impairment, Fifth Edition, includes instructions that guide physicians about combining impairment ratings. For example, impairment values within a region generally are combined and converted to a whole person permanent impairment before combination with the results from other regions (exceptions include certain impairments of the spine and extremities). When they combine three or more values, physicians should select and combine the two lowest values; this value is combined with the third value to yield the total value. Upper extremity impairment ratings are combined based on the principle that a second and each succeeding impairment applies not to the whole unit (eg, whole finger) but only to the part that remains (eg, proximal phalanx). Physicians who combine lower extremity impairments usually use only one evaluation method, but, if more than one method is used, the physician should use the Combined Values Chart.

Factor Structure of the Anxiety Sensitivity Profile: Evidence for a Hierarchical Structure

1999 ◽  
Author(s):  
Craig N. Sawchuk ◽  
David F. Tolin ◽  
Suzanne A. Meunier ◽  
Scott O. Lilienfeld ◽  
Jeffrey M. Lohr ◽  
...  
Keyword(s):  
Factor Structure ◽  
Hierarchical Structure ◽  
Anxiety Sensitivity ◽  
Sensitivity Profile
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