Modified PROMETHEE V Method for Supplier Portfolio Selection
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F29142890%3A_____%2F22%3A00043465" target="_blank" >RIV/29142890:_____/22:00043465 - isvavai.cz</a>
Alternative codes found
RIV/61989100:27510/22:10251196
Result on the web
<a href="https://actalogistica.eu/issues/2022/III_2022_05_Zapletal_Trumic_Lenort.pdf" target="_blank" >https://actalogistica.eu/issues/2022/III_2022_05_Zapletal_Trumic_Lenort.pdf</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.22306/al.v9i3.310" target="_blank" >10.22306/al.v9i3.310</a>
Alternative languages
Result language
angličtina
Original language name
Modified PROMETHEE V Method for Supplier Portfolio Selection
Original language description
This paper focuses on the problem of supplier portfolio selection where a company has to choose the best possible set of suppliers with respect to various constraints. An intuitive heuristic can suggest to use any of the methods for suppliers ranking and then to put the first one into the portfolio. If some required constraint is not met, then the second supplier according to the ranking is added, and so on, until all the constraints are satisfied. However, such approach can result in a non-optimal decision. The constraints can cause that a combination of the alternatives with lower rankings can be better, than some higher-ranked alternative from the perspective of feasibility. To build the optimization model, the authors of this paper use the PROMETHEE V method: a popular combination of multi-criteria decision making method PROMETHEE and mixed integer programming. However, it is shown that the original PROMETHEE V method, namely the logic under which an objective function is set, is not suitable here and leads to discrimination of suppliers with worse ranking. Therefore, a modification, which brings more reasonable results, is proposed in this paper. A numerical example is used to show the suitability of the proposed approach and compare the results with the original algorithm and also with one prior modification introduced by by other authors in the past. The analysis is further supported by a thorough sensitivity analysis using flexible and parametric programming.
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
50200 - Economics and Business
Result continuities
Project
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Continuities
N - Vyzkumna aktivita podporovana z neverejnych zdroju
Others
Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Acta logistica
ISSN
1339-5629
e-ISSN
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Volume of the periodical
9
Issue of the periodical within the volume
3
Country of publishing house
SK - SLOVAKIA
Number of pages
11
Pages from-to
291-301
UT code for WoS article
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EID of the result in the Scopus database
2-s2.0-85139425426