In the determination of the most efficient decision making unit in data envelopment analysis: a comment
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27510%2F17%3A10236380" target="_blank" >RIV/61989100:27510/17:10236380 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1016/j.cie.2016.12.032" target="_blank" >http://dx.doi.org/10.1016/j.cie.2016.12.032</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.cie.2016.12.032" target="_blank" >10.1016/j.cie.2016.12.032</a>
Alternative languages
Result language
angličtina
Original language name
In the determination of the most efficient decision making unit in data envelopment analysis: a comment
Original language description
In order to deal with finding the most efficient unit problem, Lam (2015) recently built a new integrated mixed integer linear programming model which is nearly close to the super-efficiency model. The suggested model involves a non-Archimedean epsilon as the lower bound for the input and output weights. Selecting a suitable value for epsilon is a challenging issue in DEA (Data Envelopment Analysis). Lam (2015) suggested a value for epsilon which guarantees the feasibility of his model; however, this paper illustrates that the model may fail to find the most efficient unit due to unsuitable selected value for epsilon. To cope with this issue, a new model is formulated which provides the maximum epsilon value for the model of Lam (2015). The built model guarantees that when epsilon is maximum, then Lam’s model gives exactly one DMU (Decision Making Unit) as the most efficient unit with the maximum discrimination distance from the other DMUs.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
50202 - Applied Economics, Econometrics
Result continuities
Project
<a href="/en/project/GA16-17810S" target="_blank" >GA16-17810S: Selective measures in data envelopment analysis: theory and applications</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Computers and Industrial Engineering
ISSN
0360-8352
e-ISSN
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Volume of the periodical
104
Issue of the periodical within the volume
2017
Country of publishing house
GB - UNITED KINGDOM
Number of pages
3
Pages from-to
216-218
UT code for WoS article
000393265200017
EID of the result in the Scopus database
2-s2.0-85008426449