TY - CHAP
T1 - Smart decision fuzzy-based data envelopment model for failure modes and effects analysis
AU - Adesina, Kehinde Adewale
AU - Yazdi, Mohammad
AU - Zarei, Esmaeil
AU - Pouyakian, Mostafa
PY - 2022
Y1 - 2022
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85126706567&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-93352-4_7
DO - 10.1007/978-3-030-93352-4_7
M3 - Chapter
SN - 9783030933517
SN - 9783030933548
T3 - Studies in Fuzziness and Soft Computing
SP - 151
EP - 170
BT - Linguistic methods under fuzzy information in system safety and reliability analysis
A2 - Yazdi, Mohammad
PB - Springer, Springer Nature
CY - Cham
ER -