Analyzing the impact of vaccine availability on alternative supplier selection amid the covid-19 pandemic: A cfgm-ftopsis-fwi approach

Toly Chen, Yu Cheng Wang*, Hsin Chieh Wu

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

The supply chain disruption caused by the coronavirus disease 2019 (COVID-19) pandemic has forced many manufacturers to look for alternative suppliers. How to choose a suitable alternative supplier in the COVID-19 pandemic has become an important task. To fulfill this task, this research proposes a calibrated fuzzy geometric mean (cFGM)-fuzzy technique for order preference by similarity to ideal solution (FTOPSIS)-fuzzy weighted intersection (FWI) approach. In the proposed methodology, first, the cFGM method is proposed to accurately derive the priorities of criteria. Subsequently, each expert applies the FTOPSIS method to compare the overall performances of alternative suppliers in the COVID-19 pandemic. The sensitivity of an expert to any change in the overall performance of the alternative supplier is also considered. Finally, the FWI operator is used to aggregate the comparison results by all experts, for which an expert’s authority level is set to a value proportional to the consistency of his/her pairwise comparison results. The cFGM-FTOPSIS-FWI approach has been applied to select suitable alternative suppliers for a Taiwanese foundry in the COVID-19 pandemic.

Original languageEnglish
Article number71
JournalHealthcare (Switzerland)
Volume9
Issue number1
DOIs
StatePublished - 2021

Keywords

  • Alternative supplier
  • COVID-19 pandemic
  • Fuzzy collaborative intelligence
  • Wafer fabrication

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