Smart decision fuzzy-based data envelopment model for failure modes and effects analysis

Kehinde Adewale Adesina, Mohammad Yazdi*, Esmaeil Zarei, Mostafa Pouyakian

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

10 Citations (Scopus)

Abstract

Fuzzy-based Data envelopment (FDEA) is co-opted with Failure mode and effect analysis (FMEA) to form a robust safety and reliability analysis model for the assessment of a system to decipher the potential of failure occurrence. Traditionally, the index for risk premium which is the risk priority number (RPN) is a product of three risk factors—severity, occurrence, and detection. However, the conventional FMEA methods have been reportedly marred by various shortages. These include RPN scores plagued by ambiguity and vagueness, haphazard scoring and ranking techniques, mode of appraising, evaluating, and inadequate selection of the appropriate corrective actions. This chapter explains and illustrates a new Smart Decision Fuzzy-based Data Envelopment Model which is an integration of fuzzy set theory, analytical hierarchy process (AHP), and data envelopment analysis (DEA) to handle uncertainty. The reliability of its risk assessment is enhanced by engaging a heterogeneous group of experts and evaluating the efficiency frontier of the FMEA mode using adequate priority and corrective actions indices of RPN, time, and costs. The illustration of the model with an aircraft landing system provided vividly the versatility, smartness, and reliability of the proposed model. Comparatively, outputs of proposed the model through subsequent experimental results show the propensity of the model for effective risk management in real-time applications.

Original languageEnglish
Title of host publicationLinguistic methods under fuzzy information in system safety and reliability analysis
EditorsMohammad Yazdi
Place of PublicationCham
PublisherSpringer, Springer Nature
Chapter7
Pages151-170
Number of pages20
ISBN (Electronic)9783030933524
ISBN (Print)9783030933517, 9783030933548
DOIs
Publication statusPublished - 2022
Externally publishedYes

Publication series

NameStudies in Fuzziness and Soft Computing
PublisherSpringer
Volume414
ISSN (Print)1434-9922
ISSN (Electronic)1860-0808

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