A New Criteria Importance Assessment (CIMAS) Method in Multi-Criteria Group Decision-Making: Criteria Evaluation for Supplier Selection
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25510%2F25%3A39920788" target="_blank" >RIV/00216275:25510/25:39920788 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.22190/FUME230730050B" target="_blank" >https://doi.org/10.22190/FUME230730050B</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.22190/FUME230730050B" target="_blank" >10.22190/FUME230730050B</a>
Alternative languages
Result language
angličtina
Original language name
A New Criteria Importance Assessment (CIMAS) Method in Multi-Criteria Group Decision-Making: Criteria Evaluation for Supplier Selection
Original language description
Decision-making is a challenging task for logistics managers when solving the supplier selection problem. It is usually affected by numerous conflicting criteria that are not equally important to all decision-makers. Criteria evaluation is one of the crucial parts here. The primary purpose of this paper is to propose a novel integrated criteria importance assessment method based on objective judgment and group decision-making. The developed method is applied to the criteria importance evaluation for supplier selection. First, we proposed the criteria importance assessment (CIMAS) method based on the expert's opinion, where the years of experts' experience were given in the form of an expert's weight. Second, the obtained criteria weights are further integrated within the well-known CRITIC method, and the hybrid criteria weights are determined. The input data matrix is based on the experts' criteria evaluation on the one-to-ten-point scale. The data were further analyzed by the novel CIMAS method and were utilized within the CRITIC (objective) method. The paper's main contribution is the proposal of the novel CIMAS method. Another contribution is coupling the subjective (CIMAS) and the objective (CRITIC) methods. The results reveal that the most important criterion for supplier selection is on-time distribution, followed by distribution cost, external image and appearance in public, social responsibility rate, and air pollution, respectively. The sensitivity and comparative analysis were also performed, and the technique confirmed a high level of stability.
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
10102 - Applied mathematics
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
2025
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Facta Universitatis, Series: Mechanical Engineering
ISSN
0354-2025
e-ISSN
2335-0164
Volume of the periodical
23
Issue of the periodical within the volume
2
Country of publishing house
RS - THE REPUBLIC OF SERBIA
Number of pages
16
Pages from-to
335-349
UT code for WoS article
001553017600009
EID of the result in the Scopus database
2-s2.0-105013499533