IDEAS home Printed from https://ideas.repec.org/a/vrs/auseab/v10y2022i1p91-105n6.html
   My bibliography  Save this article

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

Author

Listed:
  • Ajripour Iman

    (Institute of Management Science, Faculty of Economics, University of Miskolc)

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.

Suggested Citation

  • Ajripour Iman, 2022. "Supplier Selection during the COVID-19 Pandemic Situation by Applying Fuzzy TOPSIS: A Case Study," Acta Universitatis Sapientiae, Economics and Business, Sciendo, vol. 10(1), pages 91-105, September.
    • Handle: RePEc:vrs:auseab:v:10:y:2022:i:1:p:91-105:n:6
    DOI: 10.2478/auseb-2022-0006
    as

    Download full text from publisher

    File URL: https://doi.org/10.2478/auseb-2022-0006
    Download Restriction: no
    File URL: https://libkey.io/10.2478/auseb-2022-0006?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Liang, Gin-Shuh, 1999. "Fuzzy MCDM based on ideal and anti-ideal concepts," European Journal of Operational Research, Elsevier, vol. 112(3), pages 682-691, February.
    2. Chen, Chen-Tung & Lin, Ching-Torng & Huang, Sue-Fn, 2006. "A fuzzy approach for supplier evaluation and selection in supply chain management," International Journal of Production Economics, Elsevier, vol. 102(2), pages 289-301, August.
    3. Awasthi, Anjali & Chauhan, Satyaveer S. & Goyal, S.K., 2010. "A fuzzy multicriteria approach for evaluating environmental performance of suppliers," International Journal of Production Economics, Elsevier, vol. 126(2), pages 370-378, August.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Shuang Yao & Donghua Yu & Yan Song & Hao Yao & Yuzhen Hu & Benhai Guo, 2018. "Dry Bulk Carrier Investment Selection through a Dual Group Decision Fusing Mechanism in the Green Supply Chain," Sustainability, MDPI, vol. 10(12), pages 1-19, November.
    2. S. Mostafa Mokhtari & Hamid Alinejad-Rokny & Hossein Jalalifar, 2014. "Selection of the best well control system by using fuzzy multiple-attribute decision-making methods," Journal of Applied Statistics, Taylor & Francis Journals, vol. 41(5), pages 1105-1121, May.
    3. Mohammed, Ahmed & Harris, Irina & Govindan, Kannan, 2019. "A hybrid MCDM-FMOO approach for sustainable supplier selection and order allocation," International Journal of Production Economics, Elsevier, vol. 217(C), pages 171-184.
    4. Alaa Alden Al Mohamed & Sobhi Al Mohamed & Moustafa Zino, 2023. "Application of fuzzy multicriteria decision-making model in selecting pandemic hospital site," Future Business Journal, Springer, vol. 9(1), pages 1-22, December.
    5. Dilip Kumar Sen & Saurav Datta & Siba Sankar Mahapatra, 2016. "A TODIM-Based Decision Support Framework for G-Resilient Supplier Selection in Fuzzy Environment," Asia-Pacific Journal of Operational Research (APJOR), World Scientific Publishing Co. Pte. Ltd., vol. 33(05), pages 1-40, October.
    6. Golmohammadi, Davood, 2011. "Neural network application for fuzzy multi-criteria decision making problems," International Journal of Production Economics, Elsevier, vol. 131(2), pages 490-504, June.
    7. Awasthi, Anjali & Chauhan, Satyaveer S. & Goyal, S.K., 2010. "A fuzzy multicriteria approach for evaluating environmental performance of suppliers," International Journal of Production Economics, Elsevier, vol. 126(2), pages 370-378, August.
    8. Shen, Lixin & Olfat, Laya & Govindan, Kannan & Khodaverdi, Roohollah & Diabat, Ali, 2013. "A fuzzy multi criteria approach for evaluating green supplier's performance in green supply chain with linguistic preferences," Resources, Conservation & Recycling, Elsevier, vol. 74(C), pages 170-179.
    9. Osiro, Lauro & Lima-Junior, Francisco R. & Carpinetti, Luiz Cesar R., 2014. "A fuzzy logic approach to supplier evaluation for development," International Journal of Production Economics, Elsevier, vol. 153(C), pages 95-112.
    10. Xiongyong Zhou & Zhiduan Xu, 2018. "An Integrated Sustainable Supplier Selection Approach Based on Hybrid Information Aggregation," Sustainability, MDPI, vol. 10(7), pages 1-49, July.
    11. Huiru Zhao & Sen Guo, 2014. "Selecting Green Supplier of Thermal Power Equipment by Using a Hybrid MCDM Method for Sustainability," Sustainability, MDPI, vol. 6(1), pages 1-19, January.
    12. Hashemi, Seyed Hamid & Karimi, Amir & Tavana, Madjid, 2015. "An integrated green supplier selection approach with analytic network process and improved Grey relational analysis," International Journal of Production Economics, Elsevier, vol. 159(C), pages 178-191.
    13. Alptekin Ulutaş & Ayşe Topal & Dragan Pamučar & Željko Stević & Darjan Karabašević & Gabrijela Popović, 2022. "A New Integrated Multi-Criteria Decision-Making Model for Sustainable Supplier Selection Based on a Novel Grey WISP and Grey BWM Methods," Sustainability, MDPI, vol. 14(24), pages 1-20, December.
    14. Scott, James & Ho, William & Dey, Prasanta K. & Talluri, Srinivas, 2015. "A decision support system for supplier selection and order allocation in stochastic, multi-stakeholder and multi-criteria environments," International Journal of Production Economics, Elsevier, vol. 166(C), pages 226-237.
    15. Chen, Lisa Y. & Wang, Tien-Chin, 2009. "Optimizing partners' choice in IS/IT outsourcing projects: The strategic decision of fuzzy VIKOR," International Journal of Production Economics, Elsevier, vol. 120(1), pages 233-242, July.
    16. Fu Jia & Yan Jiang, 2018. "Sustainable Global Sourcing: A Systematic Literature Review and Bibliometric Analysis," Sustainability, MDPI, vol. 10(3), pages 1-26, February.
    17. Dobos, Imre & Vörösmarty, Gyöngyi, 2014. "Green supplier selection and evaluation using DEA-type composite indicators," International Journal of Production Economics, Elsevier, vol. 157(C), pages 273-278.
    18. V. Alpagut Yavuz, 2016. "An Analysis of Job Change Decision Using a Hybrid Mcdm Method: A Comparative Analysis," International Journal of Business and Social Research, MIR Center for Socio-Economic Research, vol. 6(3), pages 60-75, March.
    19. Ekaterina Khitilova, 2017. "The Suitability of Expert System Application in Czech Small and Medium-Sized Enterprises," Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, Mendel University Press, vol. 65(2), pages 653-660.
    20. Caetani, Alberto Pavlick & Ferreira, Luciano & Borenstein, Denis, 2016. "Development of an integrated decision-making method for an oil refinery restructuring in Brazil," Energy, Elsevier, vol. 111(C), pages 197-210.

    More about this item

    Keywords

    multi-criteria decision-making; alternatives; number of employees;
    All these keywords.

    JEL classification:

    • C44 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Operations Research; Statistical Decision Theory
    • D70 - Microeconomics - - Analysis of Collective Decision-Making - - - General

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:vrs:auseab:v:10:y:2022:i:1:p:91-105:n:6. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Peter Golla (email available below). General contact details of provider: https://www.sciendo.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.