Developing the neutrosophic fuzzy FMEA method as evaluating risk assessment tool

Abstract

Failure mode and effects analysis (FMEA) is one of the most effective technique in the field of risk management and is generally preferred to improve process reliability in manufacturing and service sector. Determining the risk priority numbers (RNP) of potential failures is of prime importance for the success of implementing FMEA. The parameters of RNP are generally achieved from experiences and engineering decisions which include uncertainty and vagueness because of the linguistic structure. Fuzzy set theory is preferable approach in order to handle these vagueness in determining the RNP. In this study, single valued neutrosophic Fuzzy FMEA has been firstly developed and it is applied to improve the overhaul process of a fighter jet engine turbine. The proposed model has been tested in an application that analyzes failure modes for maintenance of Low Pressure Turbin (LPT) Rotor Shaft. © 2020, Springer Nature Switzerland AG.