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Failure Mode and Effects Analysis (FMEA) using interval number based BWM—MCDM approach: Risk Expected Value (REV) method

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Abstract

One of the most popular structured approaches in risk assessment is Failure Mode and Effects Analysis (FMEA) that helps in discovering potential failures existing within the design of a product or process. But numerous inadequacies are conjoined with it, for example, Risk Priority Number (RPN) used in FMEA fails to consider the individual effects of the risk factors, thereby neglecting the priority importance of each potential failure modes (PFMs). In this paper, a novel approach, namely, REV method is proposed, where subjective weights of risk factors are determined by using Interval number based Best Worst Method (BWM) to evaluate the weights of risk factors and determine their importance. REV is proposed as an alternative to RPN and aims to improve FMEA that could efficiently handle the vagueness and uncertainty of real-life situations. It is benefitted from decisions of both probability of risk of failure, for assessing the individual influence of the risk factors, as well as priority weights of PFMs from the preference decisions making ability of the MCDM methods with conflicting criteria. It is a user-friendly, flexible approach where suitable MCDM method of choice can be used for obtaining REVs. Here, MCDM techniques of TOPSIS, VIKOR, PROMETHEE and EDAS are used for reviewing individual impacts of PFMs. Furthermore, the proposed approach is endorsed with a case study involving failures in components of submersible pumps used in a power plant. The model is validated using Kendall Tau coefficient computed for different REVs and results are found to be satisfactory (0.849 for TOPSIS-VIKOR, 0.832 for PROMETHEE-EDAS, 0.851 for VIKOR- EDAS and 0.934 for TOPSIS- EDAS).

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Abbreviations

BWM:

Best Worst Method

CC j :

Closeness Coefficient Value

CoCoSo:

A combined compromise solution

COPRAS:

The complex proportional assessment method

D:

Detection

DEA:

Data Envelopment Analysis

DEMATEL:

Decision-Making Trial and Evaluation Laboratory

DM:

Decision Maker

DOS:

Degree of safety

DSS:

Decision support system

EDAS:

Evaluation based on distance from average solution

FAHP:

Fuzzy Analytic Hierarchy Process

FANP:

Fuzzy Analytic Network Process

FMEA:

Failure Modes and Effects Analysis

FUCOM:

The full consistency method

FVIKOR:

Fuzzy vlsekriterijuskaoptimizacija I komoromisnoresenje

GMCDM:

Group multiple criteria decision-making

GRA:

Grey Relational Analysis

ITLV-TOPSIS:

Interval 2-tuple linguistic variables-technique for order of preference by similarity to ideal solution

IVSF-TOPSIS:

Interval -valued spherical fuzzy extension of technique for order preference by similarity to ideal solution

MADM:

Multi-Attribute Decision-Making

MCDM:

Multi-Criteria Decision-Making

MOORA:

Multi-objective optimization on the basis of ratio analysis

NAHP:

Neutrosophic analytic network process

O:

Occurrence

OC:

Operator Competency

PFM:

Potential Failure Mode

PROMETHEE:

Preference ranking organization method for enrichment evaluation

R-BWM:

Rough-best worst method

REV:

Risk Expected Value

RPN:

Risk Priority Number

S:

Severity

SWARA:

Step-wise weight assessment ratio analysis

TOPSIS:

Technique for order of preference by similarity to ideal solution

VIKOR:

vlsekriterijuskaoptimizacija I komoromisnoresenje

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  1. NIT Agartala: National Institute of Technology Agartala, Agartala, 799046, India

    Pushparenu Bhattacharjee, Vidyut Dey & U. K. Mandal

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  1. Pushparenu Bhattacharjee
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Bhattacharjee, P., Dey, V. & Mandal, U.K. Failure Mode and Effects Analysis (FMEA) using interval number based BWM—MCDM approach: Risk Expected Value (REV) method. Soft Comput 26, 12667–12688 (2022). https://doi.org/10.1007/s00500-022-07264-9

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