<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>During the COVID-19 pandemic situation, many factories, companies, and organizations faced difficulties supplying raw materials. Multi-criteria decision-making techniques (MCDM) could be a proper solution that helps managers to make an appropriate and fast decision in supplier selection in such unusual situation. The goal of my research is not only to employ the technique for order of preference by similarity to ideal solution (TOPSIS) in a fuzzy environment but also to use a new criterion, namely “number of employees”, for evaluating suppliers during the COVID-19 pandemic situation. Applying fuzzy logic during unstable conditions helps decision makers to make a logical and more precise decision. In this study, five criteria, that is, quality, delivery, price, number of employees, and lead time, are considered to compare and select an appropriate supplier. The results show that “number of employees” is an essential criterion in supplier selection during abnormal conditions like the COVID-19 pandemic situation.</p>
</abstract>

During the COVID-19 pandemic situation, many factories, companies, and organizations faced difficulties supplying raw materials. Multi-criteria decision-making techniques (MCDM) could be a proper solution that helps managers to make an appropriate and fast decision in supplier selection in such unusual situation. The goal of my research is not only to employ the technique for order of preference by similarity to ideal solution (TOPSIS) in a fuzzy environment but also to use a new criterion, namely “number of employees”, for evaluating suppliers during the COVID-19 pandemic situation. Applying fuzzy logic during unstable conditions helps decision makers to make a logical and more precise decision. In this study, five criteria, that is, quality, delivery, price, number of employees, and lead time, are considered to compare and select an appropriate supplier. The results show that “number of employees” is an essential criterion in supplier selection during abnormal conditions like the COVID-19 pandemic situation.

Supplier Selection during the COVID-19 Pandemic Situation by Applying Fuzzy TOPSIS: A Case Study

Institute of Management Science, Faculty of Economics

Acta Universitatis Sapientiae, Economics and Business

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

During the COVID-19 pandemic situation, many factories, companies, and organizations faced difficulties supplying raw materials. Multi-criteria decision-making...

Supplier Selection during the COVID-19 Pandemic Situation by Applying Fuzzy TOPSIS: A Case Study

Publié en ligne: 13 oct. 2022

Pages: 91 - 105

DOI: https://doi.org/10.2478/auseb-2022-0006

Mots clés
multi-criteria decision-making, alternatives, number of employees

© 2022 Iman Ajripour, published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Supplier Selection during the COVID-19 Pandemic Situation by Applying Fuzzy TOPSIS: A Case Study

Publié en ligne: 13 oct. 2022

Pages: 91 - 105

DOI: https://doi.org/10.2478/auseb-2022-0006

Mots clésmulti-criteria decision-making, alternatives, number of employees

© 2022 Iman Ajripour, published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Mots clés
multi-criteria decision-making, alternatives, number of employees