FMEA Using Uncertainty Theories and MCDM Methods

To resolve the shortcomings of the conventional RPN method, a great number of studies have been conducted on the improvement of FMEA and a variety of alternative approaches have been proposed.

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[33]  Jian-Xin You,et al.  Failure mode and effects analysis using intuitionistic fuzzy hybrid TOPSIS approach , 2015, Soft Comput..

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[35]  Hu-Chen Liu,et al.  Failure Mode and Effect Analysis Under Uncertainty: An Integrated Multiple Criteria Decision Making Approach , 2016, IEEE Transactions on Reliability.

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[41]  Marcello Braglia,et al.  Fuzzy TOPSIS approach for failure mode, effects and criticality analysis , 2003 .

[42]  Hu-Chen Liu,et al.  Improving risk evaluation in FMEA with a hybrid multiple criteria decision making method , 2015 .

[43]  Yong Hu,et al.  New Failure Mode and Effects Analysis: An Evidential Downscaling Method , 2016, Qual. Reliab. Eng. Int..

[44]  G. Sakthivel,et al.  Failure mode and effect analysis using fuzzy analytic hierarchy process , 2014 .

[45]  Behnam Vahdani,et al.  A new FMEA method by integrating fuzzy belief structure and TOPSIS to improve risk evaluation process , 2014, The International Journal of Advanced Manufacturing Technology.

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[51]  Tongdan Jin,et al.  MULTIPLE FAILURE MODES ANALYSIS AND WEIGHTED RISK PRIORITY NUMBER EVALUATION IN FMEA , 2011 .

[52]  Ching-Hsue Cheng,et al.  Evaluating the risk of failure using the fuzzy OWA and DEMATEL method , 2011, J. Intell. Manuf..

[53]  Hu-Chen Liu,et al.  A Novel Approach for FMEA: Combination of Interval 2‐Tuple Linguistic Variables and Gray Relational Analysis , 2015, Qual. Reliab. Eng. Int..

[54]  Xinguo Ming,et al.  Failure modes and effects analysis using integrated weight-based fuzzy TOPSIS , 2013, Int. J. Comput. Integr. Manuf..

[55]  Dinesh Kumar,et al.  Modeling system behavior for risk and reliability analysis using KBARM , 2007, Qual. Reliab. Eng. Int..

[56]  Hu-Chen Liu,et al.  Evaluating the risk of failure modes with extended MULTIMOORA method under fuzzy environment , 2014, Eng. Appl. Artif. Intell..

[57]  Pooja Sharma,et al.  Integrated framework to optimize RAM and cost decisions in a process plant , 2012 .

[58]  Ahmet Can Kutlu,et al.  A Fuzzy Hybrid Approach for Fuzzy Process FMEA: An Application to a Spindle Manufacturing Process , 2012, Int. J. Comput. Intell. Syst..

[59]  Kuei-Hu Chang,et al.  Evaluate the orderings of risk for failure problems using a more general RPN methodology , 2009, Microelectron. Reliab..

[60]  Xin Guo Ming,et al.  A rough TOPSIS Approach for Failure Mode and Effects Analysis in Uncertain Environments , 2014, Qual. Reliab. Eng. Int..

[61]  Hui Li,et al.  Risk evaluation in failure mode and effects analysis using fuzzy digraph and matrix approach , 2014, Journal of Intelligent Manufacturing.

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[64]  Francesco Zammori,et al.  ANP/RPN: a multi criteria evaluation of the Risk Priority Number , 2012, Qual. Reliab. Eng. Int..

[65]  Kuei-Hu Chang,et al.  A more general risk assessment methodology using a soft set-based ranking technique , 2014, Soft Comput..

[66]  Fiorenzo Franceschini,et al.  A new approach for evaluation of risk priorities of failure modes in FMEA , 2001 .

[67]  Hu-Chen Liu,et al.  A novel approach for failure mode and effects analysis using combination weighting and fuzzy VIKOR method , 2015, Appl. Soft Comput..