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R. Fattahi, M. Khalilzadeh (2018)
Risk evaluation using a novel hybrid method based on FMEA, extended MULTIMOORA, and AHP methods under fuzzy environmentSafety Science, 102
Qingji Zhou, V. Thai (2016)
Fuzzy and grey theories in failure mode and effect analysis for tanker equipment failure predictionSafety Science, 83
Hao Zhao, Jian-Xin You, Hu-chen Liu (2017)
Failure mode and effect analysis using MULTIMOORA method with continuous weighted entropy under interval-valued intuitionistic fuzzy environmentSoft Computing, 21
B. Vahdani, M. Salimi, M. Charkhchian (2015)
A new FMEA method by integrating fuzzy belief structure and TOPSIS to improve risk evaluation processThe International Journal of Advanced Manufacturing Technology, 77
John Bowles (2003)
An assessment of RPN prioritization in a failure modes effects and criticality analysisAnnual Reliability and Maintainability Symposium, 2003.
F. Lolli, A. Ishizaka, R. Gamberini, B. Rimini, M. Messori (2015)
FlowSort-GDSS - A novel group multi-criteria decision support system for sorting problems with application to FMEAExpert Syst. Appl., 42
Hu-chen Liu, Jian-Xin You, Meng-Meng Shan, Qiang Su (2019)
Systematic failure mode and effect analysis using a hybrid multiple criteria decision-making approachTotal Quality Management & Business Excellence, 30
Hu-chen Liu, Jian-Xin You, Meng-Meng Shan, Lu-Ning Shao (2015)
Failure mode and effects analysis using intuitionistic fuzzy hybrid TOPSIS approachSoft Computing, 19
Hu-chen Liu, X. Fan, Ping Li, Yi-Zeng Chen (2014)
Evaluating the risk of failure modes with extended MULTIMOORA method under fuzzy environmentEng. Appl. Artif. Intell., 34
D. Kahneman, A. Tversky (1979)
PROSPECT THEORY: AN ANALYSIS OF DECISION UNDER RISKEconometrica, 47
Hu-chen Liu, Li-En Wang, Xiao-Yue You, Song-Man Wu (2019)
Failure mode and effect analysis with extended grey relational analysis method in cloud settingTotal Quality Management & Business Excellence, 30
A. Silvestri, F. Felice, A. Petrillo (2012)
Multi-criteria risk analysis to improve safety in manufacturing systemsInternational Journal of Production Research, 50
S. Hajiagha, S. Hashemi, Yousef Mohammadi, E. Zavadskas (2016)
Fuzzy belief structure based VIKOR method: an application for ranking delay causes of Tehran metro system by FMEA criteriaTransport, 31
Hu-chen Liu, Long Liu, Nan Liu (2013)
Risk evaluation approaches in failure mode and effects analysis: A literature reviewExpert Syst. Appl., 40
Debasish Adhikary, G. Bose, D. Bose, S. Mitra (2014)
Multi criteria FMECA for coal-fired thermal power plants using COPRAS-GInternational Journal of Quality & Reliability Management, 31
F. Zammori, R. Gabbrielli (2012)
ANP/RPN: a multi criteria evaluation of the Risk Priority NumberQuality and Reliability Engineering International, 28
Wen Jiang, Chunhe Xie, Boya Wei, Yongchuan Tang (2018)
Failure Mode and Effects Analysis based on Z-numbersIntelligent Automation and Soft Computing, 24
Hu-chen Liu, Jian-Xin You, Ping Li, Qiang Su (2016)
Failure Mode and Effect Analysis Under Uncertainty: An Integrated Multiple Criteria Decision Making ApproachIEEE Transactions on Reliability, 65
Hu-chen Liu, Jian-Xin You, Chun-Yan Duan (2017)
An integrated approach for failure mode and effect analysis under interval-valued intuitionistic fuzzy environmentInternational Journal of Production Economics
Hu-chen Liu, Z. Li, Wenyan Song, Qiang Su (2017)
Failure Mode and Effect Analysis Using Cloud Model Theory and PROMETHEE MethodIEEE Transactions on Reliability, 66
Silvia Carpitella, Antonella Certa, J. Izquierdo, C. Fata (2018)
A combined multi-criteria approach to support FMECA analyses: A real-world caseReliab. Eng. Syst. Saf., 169
Zhang-peng Tian, Jian-qiang Wang, Hong-yu Zhang (2018)
An integrated approach for failure mode and effects analysis based on fuzzy best-worst, relative entropy, and VIKOR methodsAppl. Soft Comput., 72
Hu-chen Liu, Jian-Xin You, X. Fan, Qing-Lian Lin (2014)
Failure mode and effects analysis using D numbers and grey relational projection methodExpert Syst. Appl., 41
S. Seyedhosseini, Nina Safaei, M. Asgharpour (2006)
Reprioritization of failures in a system failure mode and effects analysis by decision making trial and evaluation laboratory techniqueReliab. Eng. Syst. Saf., 91
Zhen Wang, Jianmin Gao, Rongxi Wang, Kun Chen, Zhi-yong Gao, Wei-jun Zheng (2018)
Failure Mode and Effects Analysis by Using the House of Reliability-Based Rough VIKOR ApproachIEEE Transactions on Reliability, 67
T. Saaty (1986)
Axiomatic foundation of the analytic hierarchy processManagement Science, 32
L. Zadeh (2011)
A Note on Z-numbersInf. Sci., 181
Antonella Certa, M. Enea, G. Galante, C. Fata (2017)
ELECTRE TRI-based approach to the failure modes classification on the basis of risk parameters: An alternative to the risk priority numberComput. Ind. Eng., 108
Huan-Jyh Shyur, Liang Yin, H. Shih, Chi-Bin Cheng (2015)
A Multiple Criteria Decision Making Method Based on Relative Value DistancesFoundations of Computing and Decision Sciences, 40
Jia Huang, Zhaojun Li, Hu-chen Liu (2017)
New approach for failure mode and effect analysis using linguistic distribution assessments and TODIM methodReliab. Eng. Syst. Saf., 167
Hu-chen Liu, Jian-Xin You, Xuefeng Ding, Qiang Su (2015)
Improving risk evaluation in FMEA with a hybrid multiple criteria decision making methodInternational Journal of Quality & Reliability Management, 32
A. Kutlu, Mehmet Ekmekçioglu (2012)
Fuzzy failure modes and effects analysis by using fuzzy TOPSIS-based fuzzy AHPExpert Syst. Appl., 39
M. Braglia (2000)
MAFMA: multi‐attribute failure mode analysisInternational Journal of Quality & Reliability Management, 17
E. Kumar, S. Chaturvedi (2011)
Prioritization of maintenance tasks on industrial equipment for reliabilityInternational Journal of Quality & Reliability Management, 28
E. Kumar, S. Chaturvedi, A. Deshpande (2009)
Maintenance of industrial equipment: Degree of certainty with fuzzy modelling using predictive maintenanceInternational Journal of Quality & Reliability Management, 26
Antonella Certa, F. Hopps, Roberta Inghilleri, C. Fata (2017)
A Dempster-Shafer Theory-based approach to the Failure Mode, Effects and Criticality Analysis (FMECA) under epistemic uncertainty: application to the propulsion system of a fishing vesselReliab. Eng. Syst. Saf., 159
Assessing the severity of failure modes of critical industrial machinery is often considered as an onerous task and sometimes misinterpreted by shop-floor engineer/maintenance personnel. The purpose of this paper is to develop an improved FMECA method for prioritizing the failure modes as per their risk levels and validating the same through a real case study of induction motors used in a process plant.Design/methodology/approachThis paper presents a novel hybrid multi-criteria decision-making (MCDM) approach to prioritize different failure modes according to their risk levels by combining analytical hierarchy process (AHP) with a newly introduced MCDM approach, election based on relative value distance (ERVD). AHP is incorporated in the proposed approach to determine the criteria weights, evaluated in linguistic terms by industrial expert. Furthermore, ERVD, which is based on the concept of prospect theory of human cognitive process, is applied to rank the potential failure modes.FindingsIt is found that the proposed FMECA approach provides better results in accordance with the actual industrial scenario and helps in effectively prioritizing the failure modes. A comparison is also made to highlight the differences of results between the proposed approach with TOPSIS and conventional FMECA.Research limitations/implicationsThis research paper proposes an improved FMECA method and, thus, provides a deep insight to maintenance managers for effectively prioritizing the failure modes. The correct prioritization of failure modes will help in effective maintenance planning, thus reducing the downtime and improving profit to the organization.Practical implicationsA real case of process plant induction motor has been introduced in the research paper to show the applicability of this decision-making approach, and the approach is found to be suitable in correct prioritization of the failure modes.Originality/valueSeverity has been decoupled into various factors affecting it, to make it more relevant as per actual industrial scenario. Then, a novel modified FMECA has been developed using a hybrid MCDM approach (AHP and ERVD). This hybrid method, as well as its application in FMECA, has not been developed by any previous researcher. Moreover, the same has been thoroughly explained by considering a real case of process plant induction motors and validated with cross-functional experts.
International Journal of Quality & Reliability Management – Emerald Publishing
Published: Aug 30, 2019
Keywords: AHP; MCDM; Induction motors; RPN; ERVD; Failure mode effects and criticality analysis
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