USING A NON-PARAMETRIC TECHNIQUE TO EVALUATE THE EFFICIENCY OF A LOGISTICS COMPANY
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25510%2F20%3A39916142" target="_blank" >RIV/00216275:25510/20:39916142 - isvavai.cz</a>
Result on the web
<a href="https://www.exeley.com/transport_problems/doi/10.21307/tp-2020-014" target="_blank" >https://www.exeley.com/transport_problems/doi/10.21307/tp-2020-014</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.21307/tp-2020-014" target="_blank" >10.21307/tp-2020-014</a>
Alternative languages
Result language
angličtina
Original language name
USING A NON-PARAMETRIC TECHNIQUE TO EVALUATE THE EFFICIENCY OF A LOGISTICS COMPANY
Original language description
Data Envelopment Analysis (DEA) is a relatively new method, a non-parametric technique used nowadays to evaluate the efficiency of the Decision-Making Units. Using this method, the Decision-Making Units can be compared between each other and the most effective ones can be found. Using the DEA method, the performance of a logistic company with twelve warehouses as DMUs is evaluated in this paper. "DEA Excel Solver" user program was used to solve the problem.
Czech name
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Czech description
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Classification
Type
J<sub>SC</sub> - Article in a specialist periodical, which is included in the SCOPUS database
CEP classification
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OECD FORD branch
50202 - Applied Economics, Econometrics
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Transport Problems
ISSN
1896-0596
e-ISSN
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Volume of the periodical
15
Issue of the periodical within the volume
1
Country of publishing house
PL - POLAND
Number of pages
9
Pages from-to
153-161
UT code for WoS article
000521109900014
EID of the result in the Scopus database
2-s2.0-85085070307