International Journal of Advanced and Applied Sciences
Int. j. adv. appl. sci.
EISSN: 2313-3724
Print ISSN:2313-626X
Volume 3, Issue 8 (August 2016), Pages: 23-30
Title: Fuzzy failure modes and effects analysis by using fuzzy Vikor and Data Envelopment Analysis‐based fuzzy AHP
Authors: Aman Ullah Baloch *, Hossin Mohammadian
Affiliation(s):
Mazandaran University of Science and Technology, Babol, Iran
http://dx.doi.org/10.21833/ijaas.2016.08.005
Abstract:
In the Failure mode and effects analysis and its classical effects, the classical priorities are determined by means of risk priority number and risk factors multiplication. However, exact risk priorities are criticized by many researchers for its imperfections and disadvantages so that many studies done on Failure mode and effects analysis and its effects to dominate the issues. In this paper, linguistic variables are used that later on by trilingual fuzzy numbers are used to assess the weighs and ranks of risk factors. To determine the weighs of each risk factors, the fuzzy hierarchical analysis method and ranking with selection of the most important impairment manner and fuzzy Vikor method, Data Envelopment Analysis are used. The suggested model applies the assessment and potential manners of ranking in the production of width strength set of the radiator of Samand car in the car company of Iran.
© 2016 The Authors. Published by IASE.
This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
Keywords: FMEA, Vikor, DEA, AHP, Fuzzy method
Article History: Received 7 June 2016, Received in revised form 15 August 2016, Accepted 15 August 2016
Digital Object Identifier: http://dx.doi.org/10.21833/ijaas.2016.08.005
Citation:
Baloch AU, Mohammadian H (2016). Fuzzy failure modes and effects analysis by using fuzzy Vikor and Data Envelopment Analysis‐based fuzzy AHP. International Journal of Advanced and Applied Sciences, 3(8): 23-30
http://www.science-gate.com/IJAAS/V3I8/Baloch.html
References:
AlKhathlan K and Malik SA (2010). Are Saudi banks efficient? Evidence using data envelopment analysis (DEA). International Journal of Economics and Finance, 2(2): 53-58. http://dx.doi.org/10.5539/ijef.v2n2p53 |
||||
Amado CA, Santos SP and Marques PM (2012). Integrating the Data Envelopment Analysis and the Balanced Scorecard approaches for enhanced performance assessment. Omega, 40(3): 390-403. http://dx.doi.org/10.1016/j.omega.2011.06.006 |
||||
Bowles JB and Peláez CE (1995). Fuzzy logic prioritization of failures in a system failure mode, effects and criticality analysis. Reliability Engineering and System Safety, 50(2): 203-213. http://dx.doi.org/10.1016/0951-8320(95)00068-D |
||||
Braglia M (2000). MAFMA: multi-attribute failure mode analysis. International Journal of Quality and Reliability Management, 17(9): 1017-1033. http://dx.doi.org/10.1108/02656710010353885 |
||||
Braglia M, Frosolini M and Montanari R (2003). Fuzzy criticality assessment model for failure modes and effects analysis. International Journal of Quality and Reliability Management, 20(4): 503-524. http://dx.doi.org/10.1108/02656710310468687 |
||||
Chin KS, Chan A and Yang JB (2008). Development of a fuzzy FMEA based product design system. The International Journal of Advanced Manufacturing Technology, 36(7-8): 633-649. http://dx.doi.org/10.1007/s00170-006-0898-3 |
||||
Guimarães ACF and Lapa CMF (2007). Fuzzy inference to risk assessment on nuclear engineering systems. Applied Soft Computing, 7(1): 17-28. http://dx.doi.org/10.1016/j.asoc.2005.06.002 |
||||
Lai CH and Wei MY (2007). A common weighted performance evaluation process by using data envelopment analysis models. In 2007 IEEE International Conference on Industrial Engineering and Engineering Management. IEEE: 827-831 PMid:18045280 |
||||
Meng Tay K and Peng Lim C (2006). Fuzzy FMEA with a guided rules reduction system for prioritization of failures. International Journal of Quality and Reliability Management, 23(8): 1047-1066. http://dx.doi.org/10.1108/02656710610688202 |
||||
Pillay A and Wang J (2003). Modified failure mode and effects analysis using approximate reasoning. Reliability Engineering and System Safety, 79(1): 69-85. http://dx.doi.org/10.1016/S0951-8320(02)00179-5 |
||||
Puri J and Yadav SP (2015). Intuitionistic fuzzy data envelopment analysis: an application to the banking sector in India. Expert Systems with Applications, 42(11): 4982-4998. http://dx.doi.org/10.1016/j.eswa.2015.02.014 |
||||
Sharma RK, Kumar D and Kumar P (2005). Systematic failure mode effect analysis (FMEA) using fuzzy linguistic modelling. International Journal of Quality and Reliability Management, 22(9): 986-1004. http://dx.doi.org/10.1108/02656710510625248 |
||||
Wang YM, Chin KS and Yang JB (2007). Measuring the performances of decision-making units using geometric average efficiency. Journal of the Operational Research Society, 58(7): 929-937. http://dx.doi.org/10.1057/palgrave.jors.2602205 |
||||
Wang YM, Chin KS, Poon GKK and Yang JB (2009). Risk evaluation in failure mode and effects analysis using fuzzy weighted geometric mean. Expert Systems with Applications, 36(2): 1195-1207. http://dx.doi.org/10.1016/j.eswa.2007.11.028 |
||||
Xu K, Tang LC, Xie M, Ho SL and Zhu ML (2002). Fuzzy assessment of FMEA for engine systems. Reliability Engineering and System Safety, 75(1): 17-29. http://dx.doi.org/10.1016/S0951-8320(01)00101-6 |