A novel CRITIC based weighted FMEA method: Application to COVID-19 blood testing process

Elif Haktanir*, Cengiz Kahraman

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

8 Citations (Scopus)

Abstract

Prioritizing the risk factors in production and service processes has a great importance since limited resources must be well managed. Classical Failure Mode and Effects Analysis (FMEA) is the most used method for this purpose in the literature. However, it handles a small number of parameters and assigns them equal weights. To overcome this inadequacy, we introduce a more comprehensive FMEA method which allows to assign different weights to the risk parameters. The new FMEA model includes nine risk parameters each having a different weight obtained from CRiteria Importance Through Intercriteria Correlation (CRITIC) method. The paper also introduces a fuzzy version of the proposed CRITIC Based Weighted Failure Mode and Effects Analysis (CBW-FMEA) method, which employs triangular and trapezoidal fuzzy numbers. All the proposed models are applied to COVID-19 blood testing process and the results are presented comparatively.

Original languageEnglish
Pages (from-to)247-275
Number of pages29
JournalJournal of Multiple-Valued Logic and Soft Computing
Volume37
Issue number3-4
Publication statusPublished - 2021

Bibliographical note

Publisher Copyright:
©2021 Old City Publishing, Inc.

Keywords

  • COVID-19
  • Criteria importance through intercriteria correlation (CRITIC)
  • Failure mode and effects analysis (FMEA)
  • Risk parameters
  • Risk priority number (RPN)

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