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A novel FMEA model based on fuzzy multiple-criteria decision-making methods for risk assessment

Reza Fattahi (Department of Industrial Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran)
Reza Tavakkoli-Moghaddam (School of Industrial Engineering, College of Engineering, University of Tehran, Tehran, Iran)
Mohammad Khalilzadeh (Department of Industrial Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran)
Nasser Shahsavari-Pour (Department of Industrial Management, Vali-e-Asr University of Rafsanjan, Rafsanjan, Iran)
Roya Soltani (Department of Industrial Engineering, Khatam University, Tehran, Iran)

Journal of Enterprise Information Management

ISSN: 1741-0398

Article publication date: 6 June 2020

Issue publication date: 3 December 2020

Abstract

Purpose

Risk assessment is a very important step toward managing risks in various organizations and industries. One of the most extensively applied risk assessment techniques is failure mode and effects analysis (FMEA). In this paper, a novel fuzzy multiple-criteria decision-making (MCDM)-based FMEA model is proposed for assessing the risks of different failure modes more accurately.

Design/methodology/approach

In this model, the weight of each failure mode is considered instead of risk priority number (RPN). Additionally, three criteria of time, cost and profit are added to the three previous risk factors of occurrence (O), severity (S) and detection (D). Furthermore, the weights of the mentioned criteria and the priority weights of the decision-makers calculated by modified fuzzy AHP and fuzzy weighted MULTIMOORA methods, respectively, are considered in the proposed model. A new ranking method of fuzzy numbers is also utilized in both proposed fuzzy MCDM methods.

Findings

To show the capability and usefulness of the suggested fuzzy MCDM-based FMEA model, Kerman Steel Industries Factory is considered as a case study. Moreover, a sensitivity analysis is conducted for validating the achieved results. Findings indicate that the proposed model is a beneficial and applicable tool for risk assessment.

Originality/value

To the best of authors’ knowledge, no research has considered the weights of failure modes, the weights of risk factors and the priority weights of decision-makers simultaneously in the FMEA method.

Keywords

Acknowledgements

The authors would like to thank the Editor-in-Chief and anonymous referees for their valuable comments on the initial version of this study for the improvements.

Citation

Fattahi, R., Tavakkoli-Moghaddam, R., Khalilzadeh, M., Shahsavari-Pour, N. and Soltani, R. (2020), "A novel FMEA model based on fuzzy multiple-criteria decision-making methods for risk assessment", Journal of Enterprise Information Management, Vol. 33 No. 5, pp. 881-904. https://doi.org/10.1108/JEIM-09-2019-0282

Publisher

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Emerald Publishing Limited

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