A Novel Approach for Group Decision Making Based on the Best-Worst Method (G-BWM): Application to Supply Chain Management
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62690094%3A18450%2F21%3A50018333" target="_blank" >RIV/62690094:18450/21:50018333 - isvavai.cz</a>
Result on the web
<a href="https://www.mdpi.com/2227-7390/9/16/1881/htm" target="_blank" >https://www.mdpi.com/2227-7390/9/16/1881/htm</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.3390/math9161881" target="_blank" >10.3390/math9161881</a>
Alternative languages
Result language
angličtina
Original language name
A Novel Approach for Group Decision Making Based on the Best-Worst Method (G-BWM): Application to Supply Chain Management
Original language description
Due to the complexity of real-world multi-criteria decision-making (MCDM) issues, analyzing different opinions from a group of decision makers needs to ensure appropriate decision making. The group decision-making methods collect preferences of the decision makers and present the best preferences using mathematical equations. The best-worst method (BWM) is one of the recently introduced MCDM methods that requires fewer pairwise comparisons to obtain the criteria weights than the other MCDM methods. In this research, we develop a novel approach to group decision-making problems based on the BWM called G-BWM. This approach helps us to analyze the preferences of decision makers to carry out democratic decision making using the BWM structure. In order to assess the applicability of the proposed methodology and represent its novelty, two numerical examples from the literature with the application to supply chain management (SCM) (i.e., green supplier selection and supplier development/segmentation) are examined and discussed. The results demonstrate the performance of our proposed G-BWM for group decision making in terms of a large number of decision makers, ease of use and achieving democratic decisions in the decision-making process.
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
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2021
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
MATHEMATICS
ISSN
2227-7390
e-ISSN
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Volume of the periodical
9
Issue of the periodical within the volume
16
Country of publishing house
CH - SWITZERLAND
Number of pages
20
Pages from-to
"Article Number: 1881"
UT code for WoS article
000690647600001
EID of the result in the Scopus database
2-s2.0-85112409992