Risk Prioritization in Failure Mode and Effects Analysis with Extended SWARA and MOORA Methods Based on Z-Numbers Theory

Ghoushchi, Saeid Jafarzadeh; Gharibi, Kazhal; Osgooei, Elnaz; Ab Rahman, Mohd Nizam; Khazaeili, Mohammad

doi:10.15388/20-INFOR439

Informatica

Risk Prioritization in Failure Mode and Effects Analysis with Extended SWARA and MOORA Methods Based on Z-Numbers Theory

Volume 32, Issue 1 (2021), pp. 41–67

Saeid Jafarzadeh Ghoushchi Kazhal Gharibi Elnaz Osgooei Mohd Nizam Ab Rahman Mohammad Khazaeili

https://doi.org/10.15388/20-INFOR439

Pub. online: 18 December 2020 Type: Research Article

Open Access

Received
1 November 2019

Accepted
1 November 2020

Published
18 December 2020

Abstract

This study introduces an approach in three phases to cover the disadvantages of the FMEA method including inability to assign different importance to risk factors and incomplete prioritization in uncertain environment. First, the values of Risk Priority Number (RPN) are set through the FMEA method. Then, the Step-wise Weight Assessment Ratio Analysis based on the Z-Number theory (Z-SWARA) method has been done to determine the weights of quintuplet factor. Finally, failures are prioritized using Multi-Objective Optimization by Ratio Analysis based on the Z-number theory (Z-MOORA). The results of implementation of the proposed approach by considering uncertainty and reliability represent a complete prioritization.

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Biographies

Ghoushchi Saeid Jafarzadeh

s.jafarzadeh@uut.ac.ir

S.J. Ghoushchi is currently an assistant professor and full time academic member of Faculty of Industrial Engineering, Urmia University of Technology, Urmia, Iran. He received the MSc degree in manufacturing system engineering and the PhD degree in industrial engineering from the National University of Malaysia, in 2009 and 2014, respectively. He has authored or co-authored more than 50 publications. His current research interests include fuzzy mathematics, neural networks, and decision making.

Gharibi Kazhal

K. Gharibi has graduated in MSc in industrial engineering in Urmia University of Engineering. Her interests include fuzzy sets, FMEA, decision making, information measures, and others.

Osgooei Elnaz

E. Osgooei is currently an associate professor and full time academic member of Faculty of Science, Urmia University of Technology, Urmia, Iran. She obtained her PhD in mathematical analysis from University of Tabriz, in 2013. She has published more than 30 research papers in various international journals. Her research interests include frame theory, wavelet analysis and operation research and optimization.

Ab Rahman Mohd Nizam

M.N. Ab Rahman is currently working as an associate professor at Faculty of Engineering and Built Environment in Universiti Kebangsaan Malaysia (The National University of Malaysia). He has completed his PhD in quality and operations management from University of Nottingham, UK, and post graduate diploma in entrepreneurship, University of Cambridge, UK. He has authored or co-authored more than 300 publications. His area of expertise includes quality operations, lean, supply chain system and networks, sustainability, supply chain management, entrepreneurship, and decision making.

Khazaeili Mohammad

M. Khazaeili has graduated in MSc in mathematics from Zahedan University and industrial engineering in Urmia University of Engineering. His interests include fuzzy sets, information measures, and others.

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Keywords

risk prioritization FMEA SWARA MOORA Z-Number theory decision making

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