Selecting and full ranking suppliers with imprecise data: A new DEA method
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27510%2F14%3A86092342" target="_blank" >RIV/61989100:27510/14:86092342 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1007/s00170-014-6035-9" target="_blank" >http://dx.doi.org/10.1007/s00170-014-6035-9</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/s00170-014-6035-9" target="_blank" >10.1007/s00170-014-6035-9</a>
Alternative languages
Result language
angličtina
Original language name
Selecting and full ranking suppliers with imprecise data: A new DEA method
Original language description
Supplier selection, a multi-criteria decision making (MCDM) problem, is one of the most important strategic issues in supply chain management (SCM). A good solution to this problem significantly contributes to the overall supply chain performance. This paper proposes a new integrated mixed integer programming aEuro data envelopment analysis (MIPaEuroDEA) model for finding the most efficient suppliers in the presence of imprecise data. Using this model, a new method for full ranking of units is introduced. This method tackles some drawbacks of the previous methods and is computationally more efficient. The applicability of the proposed model is illustrated, and the results and performance are compared with the previous studies.
Czech name
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Czech description
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Classification
Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
AE - Management, administration and clerical work
OECD FORD branch
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Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2014
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
The international journal of advanced manufacturing technology
ISSN
0268-3768
e-ISSN
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Volume of the periodical
74
Issue of the periodical within the volume
5-8
Country of publishing house
DE - GERMANY
Number of pages
8
Pages from-to
1141-1148
UT code for WoS article
000342486300049
EID of the result in the Scopus database
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