A Novel CRITIC Based Weighted FMEA Method: Application to COVID-19 Blood Testing Process


Haktanir E., Kahraman C.

JOURNAL OF MULTIPLE-VALUED LOGIC AND SOFT COMPUTING, vol.37, no.3-4, pp.247-275, 2021 (Journal Indexed in SCI) identifier identifier

  • Publication Type: Article / Article
  • Volume: 37 Issue: 3-4
  • Publication Date: 2021
  • Title of Journal : JOURNAL OF MULTIPLE-VALUED LOGIC AND SOFT COMPUTING
  • Page Numbers: pp.247-275
  • Keywords: Failure mode and effects analysis (FMEA), risk priority number (RPN), risk parameters, criteria importance through intercriteria correlation (CRITIC), COVID-19, FAILURE MODE, RISK-EVALUATION

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.