An integrated multi-criteria decision-making approach to optimize the number of leagile-sustainable suppliers in supply chains
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62690094%3A18450%2F22%3A50019163" target="_blank" >RIV/62690094:18450/22:50019163 - isvavai.cz</a>
Result on the web
<a href="https://trebuchet.public.springernature.app/get_content/0aebca6f-93d6-4732-a728-f067842eef73" target="_blank" >https://trebuchet.public.springernature.app/get_content/0aebca6f-93d6-4732-a728-f067842eef73</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/s11356-022-20214-0" target="_blank" >10.1007/s11356-022-20214-0</a>
Alternative languages
Result language
angličtina
Original language name
An integrated multi-criteria decision-making approach to optimize the number of leagile-sustainable suppliers in supply chains
Original language description
Global supply chains are increasingly becoming complex by having numerous suppliers around the world. To manage this complexity, organizations must identify the optimum number of suppliers. There have been many examples in the literature that used different approaches to solve this problem. Despite the importance of this issue, less attention has been paid to it and managers of the companies do not know how, and based on which approach and criteria, they should determine the optimal number of suppliers which leads to lower cost and higher reliability of the production line. Therefore, in this study, a hybrid methodology is proposed to expose the process of this problem which helps managers to learn how they can determine the optimal number of suppliers. We address this gap by developing an integrated approach based on multi-criteria decision-making (MCDM) comprising best-worst method (BWM), simple additive weighting (SAW), and technique for order preference by similarity to ideal solution (TOPSIS), and simulation to determine the optimal number of suppliers. This study utilizes a comprehensive approach based on leagile and environmentally sustainable criteria to determine the optimal number of suppliers. To examine the efficiency of the proposed approach, an empirical case study is conducted in an Iranian oil company. The final results represent that the scenario with a 1-1-1 arrangement (one supplier for each type of equipment) is the best possible scenario to determine the optimal number of leagile-sustainable suppliers. To examine the reliability and robustness of the obtained results, a sensitivity analysis based on the three most important criteria is conducted. Finally, discussions on the findings as well as theoretical and managerial implications are presented.
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
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
Environmental science and pollution research
ISSN
0944-1344
e-ISSN
1614-7499
Volume of the periodical
29
Issue of the periodical within the volume
44
Country of publishing house
DE - GERMANY
Number of pages
23
Pages from-to
66979-67001
UT code for WoS article
000791111400005
EID of the result in the Scopus database
2-s2.0-85129411131