SUSTAINABLE RESILIENT SUPPLIER SELECTION FOR IOT IMPLEMENTATION BASED ON THE INTEGRATED BWM AND TRUST UNDER SPHERICAL FUZZY SETS

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62690094%3A18450%2F23%3A50020787" target="_blank" >RIV/62690094:18450/23:50020787 - isvavai.cz</a>

Result on the web

<a href="https://dmame-journal.org/index.php/dmame/article/view/584" target="_blank" >https://dmame-journal.org/index.php/dmame/article/view/584</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.31181/dmame12012023b" target="_blank" >10.31181/dmame12012023b</a>

Result language

angličtina

Original language name

SUSTAINABLE RESILIENT SUPPLIER SELECTION FOR IOT IMPLEMENTATION BASED ON THE INTEGRATED BWM AND TRUST UNDER SPHERICAL FUZZY SETS

Original language description

Supplier selection process plays a vital role in supply chain management and is the most important variable in its success. With increasing environmental considerations, organizations must consider sustainability considerations and economic goals to protect the environment. Furthermore, the destructive effects of disruptions on the supply chain performance of companies have prompted organizational experts to pay special attention to the concept of resilience. This study developed an integrated approach based on the extended version of Multi-Criteria Decision-Making (MCDM) methods in a spherical fuzzy (SFS) environment to address sustainable and resilient IoT supplier selection. In the proposed approach, the main criteria (i.e., resilience, and sustainability) have been used in the supplier selection process. Then, these criteria are weighted using the developed SFS-Best-Worst Method (BWM), which reduces uncertainty in pairwise comparisons. In the next step, the 14 selected IoT suppliers are evaluated and prioritized by applying SFS-mulTi-noRmalization mUltiDistance aSsessmenT (TRUST) that considers a multi-normalization algorithm to reduce subjectivity in normalized data. The results of this study shows that the pollution control and risk-taking sub-criteria are placed in the first and second priorities, respectively. The comparison of the results of the SFS-TRUST with other MCDM methods and sensitivity analysis demonstrates the performance of the proposed approach and its ranking stability in various scenarios. © 2023 by the authors.

Czech name

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Czech description

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Type

J_SC - Article in a specialist periodical, which is included in the SCOPUS database

CEP classification

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OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

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Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2023

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Decision Making: Applications in Management and Engineering

ISSN

2560-6018

e-ISSN

2620-0104

Volume of the periodical

6

Issue of the periodical within the volume

1

Country of publishing house

RS - THE REPUBLIC OF SERBIA

Number of pages

33

Pages from-to

153-185

UT code for WoS article

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EID of the result in the Scopus database

2-s2.0-85159366943