Premium
Failure mode and effect analysis using multi‐linguistic terms and Dempster–Shafer evidence theory
Author(s) -
Hu Yushan,
Gou Linfeng,
Deng Xinyang,
Jiang Wen
Publication year - 2021
Publication title -
quality and reliability engineering international
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.913
H-Index - 62
eISSN - 1099-1638
pISSN - 0748-8017
DOI - 10.1002/qre.2773
Subject(s) - failure mode and effects analysis , dempster–shafer theory , computer science , mode (computer interface) , granularity , risk analysis (engineering) , reliability engineering , artificial intelligence , engineering , business , operating system
Failure mode and effect analysis (FMEA) is a useful technique to identify and quantify potential failures. FMEA determines a potential failure mode by evaluating risk factors. In recent years, there are many works improving FMEA by allowing multiple experts to use linguistic term sets to evaluate risk factors. However, it is important to design a framework that can consider both the weight of risk factors and the weight of the experts. In addition, managing conflicts among experts is also an urgent problem to be addressed. In this paper, we proposed an FMEA model based on multi‐granularity linguistic terms and the Dempster–Shafer evidence theory. On the other hand, the weights for both experts and risk factors are taken into consideration. The weights are computed objectively and subjectively to ensure the reasonability. Further, we apply our method to an emergency department case, which shows the effectiveness of the method.