Improving risk evaluation in FMEA with a hybrid multiple criteria decision making method

International Journal of Quality and Reliability Management - Tập 32 Số 7 - Trang 763-782 - 2015
Hu‐Chen Liu1, Jianxin You2, Xue‐Feng Ding1, Qiang Su2
1School of Management, Shanghai University, Shanghai, PR China
2School of Economics and Management, Tongji University, Shanghai, PR China

Tóm tắt

Purpose – The purpose of this paper is to develop a new failure mode and effect analysis (FMEA) framework for evaluation, prioritization and improvement of failure modes. Design/methodology/approach – A hybrid multiple criteria decision-making method combining VIKOR, decision-making trial and evaluation laboratory (DEMATEL) and analytic hierarchy process (AHP) is used to rank the risk of the failure modes identified in FMEA. The modified VIKOR method is employed to determine the effects of failure modes on together. Then the DEMATEL technique is used to construct the influential relation map among the failure modes and causes of failures. Finally, the AHP approach based on the DEMATEL is utilized to obtain the influential weights and give the prioritization levels for the failure modes. Findings – A case study of diesel engine’s turbocharger system is provided to illustrate the potential application and benefits of the proposed FMEA approach. Results show that the new risk priority model can be effective in helping analysts find the high risky failure modes and create suitable maintenance strategies. Practical implications – The proposed FMEA can overcome the shortcomings and improve the effectiveness of the traditional FMEA. Particularly, the dependence and interactions between different failure modes and effects have been addressed by the new failure analysis method. Originality/value – This paper presents a systemic analytical model for FMEA. It is able to capture the complex interrelationships among various failure modes and effects and provide guidance to analysts by setting the suitable maintenance strategies to improve the safety and reliability of complex systems.

Từ khóa


Tài liệu tham khảo

Adhikary, D.D. , Bose, G.K. , Bose, D. and Mitra, S. (2014), “Multi criteria FMECA for coal-fired thermal power plants using COPRAS-G”, International Journal of Quality & Reliability Management , Vol. 31 No. 5, pp. 601-614.

Akman, G. (2015), “Evaluating suppliers to include green supplier development programs via fuzzy c-means and VIKOR methods”, Computers & Industrial Engineering , doi:10.1016/j.cie.2014.10.013.

Bal, E. , Arslan, O. and Tavacioglu, L. (2015), “Prioritization of the causal factors of fatigue in seafarers and measurement of fatigue with the application of the lactate test”, Safety Science , Vol. 72, pp. 46-54.

Bowles, J.B. and Peláez, C.E. (1995), “Fuzzy logic prioritization of failures in a system failure mode, effects and criticality analysis”, Reliability Engineering & System Safety , Vol. 50 No. 2, pp. 203-213.

Braglia, M. , Frosolini, M. and Montanari, R. (2003), “Fuzzy criticality assessment model for failure modes and effects analysis”, International Journal of Quality & Reliability Management , Vol. 20 No. 4, pp. 503-524.

Chang, D.S. and Sun, K.L.P. (2009), “Applying DEA to enhance assessment capability of FMEA”, International Journal of Quality & Reliability Management , Vol. 26 No. 6, pp. 629-643.

Clausing, D. and Frey, D.D. (2005), “Improving system reliability by failure-mode avoidance including four concept design strategies”, Systems Engineering , Vol. 8 No. 3, pp. 245-261.

Dragincic, J. , Korac, N. and Blagojevic, B. (2015), “Group multi-criteria decision making (GMCDM) approach for selecting the most suitable table grape variety intended for organic viticulture”, Computers and Electronics in Agriculture , Vol. 111, pp. 194-202.

Ford Motor Company (1988), “Potential failure mode and effects analysis (FMEA) reference manual”.

Franceschini, F. and Galetto, M. (2001), “A new approach for evaluation of risk priorities of failure modes in FMEA”, International Journal of Production Research , Vol. 39 No. 13, pp. 2991-3002.

Guimarães, A.C.F. , Lapa, C.M.F. and Moreira, M.D.L. (2011), “Fuzzy methodology applied to probabilistic safety assessment for digital system in nuclear power plants”, Nuclear Engineering and Design , Vol. 241 No. 9, pp. 3967-3976.

Kiliç, M. and Kaya, İ. (2015), “Investment project evaluation by a decision making methodology based on type-2 fuzzy sets”, Applied Soft Computing , Vol. 27, pp. 399-410.

Kolich, M. (2014), “Using failure mode and effects analysis to design a comfortable automotive driver seat”, Applied Ergonomics , Vol. 45 No. 4, pp. 1087-1096.

Liu, H.C. , Fan, X.J. , Li, P. and Chen, Y.Z. (2014a), “Evaluating the risk of failure modes with extended MULTIMOORA method under fuzzy environment”, Engineering Applications of Artificial Intelligence , Vol. 34, pp. 168-177.

Liu, H.C. , Li, P. , You, J.X. and Chen, Y.Z. (2015a), “A novel approach for FMEA: Combination of interval 2-tuple linguistic variables and grey relational analysis”, Quality and Reliability Engineering International , doi:10.1002/qre.1633.

Liu, H.C. , Liu, L. , Bian, Q.H. , Lin, Q.L. , Dong, N. and Xu, P.C. (2011), “Failure mode and effects analysis using fuzzy evidential reasoning approach and grey theory”, Expert Systems with Applications , Vol. 38 No. 4, pp. 4403-4415.

Liu, H.C. , Liu, L. and Lin, Q.L. (2013a), “Fuzzy failure mode and effects analysis using fuzzy evidential reasoning and belief rule-based methodology”, IEEE Transactions on Reliability , Vol. 62 No. 1, pp. 23-36.

Liu, H.C. , Liu, L. and Liu, N. (2013b), “Risk evaluation approaches in failure mode and effects analysis: a literature review”, Expert Systems with Applications , Vol. 40 No. 2, pp. 828-838.

Liu, H.C. , Ren, M.L. , Wu, J. and Lin, Q.L. (2014b), “An interval 2-tuple linguistic MCDM method for robot evaluation and selection”, International Journal of Production Research , Vol. 52 No. 10, pp. 2867-2880.

Liu, H.C. , You, J.X. , Fan, X.J. and Lin, Q.L. (2014c), “Failure mode and effects analysis using D numbers and grey relational projection method”, Expert Systems with Applications , Vol. 41 No. 10, pp. 4670-4679.

Liu, H.C. , You, J.X. , Lin, Q.L. and Li, H. (2015b), “Risk assessment in system FMEA combining fuzzy weighted average with fuzzy decision making trial and evaluation laboratory”, International Journal of Computer Integrated Manufacturing , Vol. 28 No. 7, pp. 701-714.

Liu, H.C. , You, J.X. and You, XY. (2014d), “Evaluating the risk of healthcare failure modes using interval 2-tuple hybrid weighted distance measure”, Computers & Industrial Engineering , Vol. 78, pp. 249-258.

Liu, H.C. , You, J.X. , You, X.Y. and Shan, M.M. (2015c), “A novel approach for failure mode and effects analysis using combination weighting and fuzzy VIKOR method”, Applied Soft Computing , Vol. 28, pp. 579-588.

Liu, H.C. , You, J.X. , Zhen, L. and Fan, X.J. (2014e), “A novel hybrid multiple criteria decision making model for material selection with target-based criteria”, Materials & Design , Vol. 60, pp. 380-390.

Opricovic, S. (1998), Multi-Criteria Optimization of Civil Engineering Systems , Faculty of Civil Engineering, Belgrade.

Opricovic, S. and Tzeng, G.H. (2004), “Compromise solution by MCDM methods: a comparative analysis of VIKOR and TOPSIS”, European Journal of Operational Research , Vol. 156 No. 2, pp. 445-455.

Pillay, A. and Wang, J. (2003), “Modified failure mode and effects analysis using approximate reasoning”, Reliability Engineering & System Safety , Vol. 79 No. 1, pp. 69-85.

Ranjan, R. , Chatterjee, P. and Chakraborty, S. (2015), “Evaluating performance of engineering departments in an Indian University using DEMATEL and compromise ranking methods”, OPSEARCH , Vol. 52 No. 2, pp. 307-328.

Saaty, T.L. (1980), The Analytic Hierarchy Process , McGraw-Hill, New York, NY.

Saaty, T.L. (1990), “How to make a decision: the analytic hierarchy process”, European Journal of Operational Research , Vol. 48 No. 1, pp. 9-26.

SAE J1739 (2009), “Potential failure mode and effects analysis in design, potential failure mode and effects analysis in manufacturing and assembly processes”, Society of Automotive Engineers (SAE) International .

Sankar, N.R. and Prabhu, B.S. (2001), “Modified approach for prioritization of failures in a system failure mode and effects analysis”, International Journal of Quality & Reliability Management , Vol. 18 No. 3, pp. 324-336.

Seyed-Hosseini, S.M. , Safaei, N. and Asgharpour, M.J. (2006), “Reprioritization of failures in a system failure mode and effects analysis by decision making trial and evaluation laboratory technique”, Reliability Engineering & System Safety , Vol. 91 No. 8, pp. 872-881.

Sharma, R.K. , Kumar, D. and Kumar, P. (2005), “Systematic failure mode effect analysis (FMEA) using fuzzy linguistic modelling”, International Journal of Quality & Reliability Management , Vol. 22 No. 9, pp. 986-1004.

Song, W. , Ming, X. , Wu, Z. and Zhu, B. (2014), “A rough TOPSIS approach for failure mode and effects analysis in uncertain environments”, Quality and Reliability Engineering International , Vol. 30 No. 4, pp. 473-486.

Stamatis, D.H. (2003), Failure Mode and Effect Analysis: FMEA from Theory to Execution , ASQC Press, New York, NY.

Tay, K. , Jong, C. and Lim, C. (2015), “A clustering-based failure mode and effect analysis model and its application to the edible bird nest industry”, Neural Computing and Applications , Vol. 26 No. 3, pp. 551-560.

Uygun, Ö. , Kaçamak, H. and Kahraman, Ü.A. (2014), “An integrated DEMATEL and fuzzy ANP techniques for evaluation and selection of outsourcing provider for a telecommunication company”, Computers & Industrial Engineering , doi:10.1016/j.cie.2014.09.014.

Wang, Y.M. , Chin, K.S. , Poon, G.K.K. and Yang, J.B. (2009), “Risk evaluation in failure mode and effects analysis using fuzzy weighted geometric mean”, Expert Systems with Applications , Vol. 36 No. 2, pp. 1195-1207.

Xu, K. , Tang, L.C. , Xie, M. , Ho, S.L. and Zhu, M.L. (2002), “Fuzzy assessment of FMEA for engine systems”, Reliability Engineering & System Safety , Vol. 75 No. 1, pp. 17-29.

You, X.Y. , You, J.X. , Liu, H.C. and Zhen, L. (2015), “Group multi-criteria supplier selection using an extended VIKOR method with interval 2-tuple linguistic information”, Expert Systems with Applications , Vol. 42 No. 4, pp. 1906-1916.

Zhou, J.L. , Bai, Z.H. and Sun, Z.Y. (2014), “A hybrid approach for safety assessment in high-risk hydropower-construction-project work systems”, Safety Science , Vol. 64, pp. 163-172.