Applying UGF Concept to Enhance the Assessment Capability of FMEA

The purpose of this paper is to propose a modified version of Failure Mode and Effects Analysis (FMEA) to alleviate its drawbacks. FMEA is an important tool in risk evaluation and finding the priority of potential failure modes for corrective actions. In the proposed method, the Universal Generating Function (UGF) approach has been used to improve the assessment capability of the conventional Risk Priority Number (RPN) in ranking. The new method is named as URPN. It generates the most number of unique values in comparison with the previous methods and considers relative importance for the parameters while it is easy to compute. More unique numbers help to avoid from having the same priority level for different failure modes which represent various risk levels. A case study has been employed to demonstrate that the URPN not only can improve the shortcomings but also is able to provide accurate values for risk assessment. Copyright © 2015 John Wiley & Sons, Ltd.

[1]  Gregory Levitin,et al.  The Universal Generating Function in Reliability Analysis and Optimization , 2005 .

[2]  Igor Ushakov Universal Generating Functions , 2013 .

[3]  Cecelia Marie Venuk Failure modes and effects analysis (FMEA). , 2012 .

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

[5]  Chiu-Chi Wei,et al.  FAILURE MODE AND EFFECTS ANALYSIS USING FUZZY METHOD AND GREY THEORY , 1999 .

[6]  Jhareswar Maiti,et al.  Risk analysis using FMEA: Fuzzy similarity value and possibility theory based approach , 2014, Expert Syst. Appl..

[7]  Yung-Chia Chang,et al.  Applying the concept of exponential approach to enhance the assessment capability of FMEA , 2014, J. Intell. Manuf..

[8]  Warren Gilchrist,et al.  Modelling Failure Modes and Effects Analysis , 1993 .

[9]  Jin Wang,et al.  Modified failure mode and effects analysis using approximate reasoning , 2003, Reliab. Eng. Syst. Saf..

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

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

[12]  Hadi Akbarzadeh Khorshidi,et al.  Implementation of SPC with FMEA in less-developed industries with a case study in car battery manufactory , 2013 .

[13]  Jian-Bo Yang,et al.  Failure mode and effects analysis using a group-based evidential reasoning approach , 2009, Comput. Oper. Res..

[14]  Ahmet Can Kutlu,et al.  Fuzzy failure modes and effects analysis by using fuzzy TOPSIS-based fuzzy AHP , 2012, Expert Syst. Appl..

[15]  J. B. Bowles,et al.  The new SAE FMECA standard , 1998, Annual Reliability and Maintainability Symposium. 1998 Proceedings. International Symposium on Product Quality and Integrity.

[16]  Gionata Carmignani,et al.  An integrated structural framework to cost-based FMECA: The priority-cost FMECA , 2009, Reliab. Eng. Syst. Saf..

[17]  Xinyang Deng,et al.  A new method in failure mode and effects analysis based on evidential reasoning , 2014, International Journal of System Assurance Engineering and Management.

[18]  S. M. Seyed Hosseini,et al.  Reprioritization of failures in a system failure mode and effects analysis by decision making trial and evaluation laboratory technique , 2006, Reliab. Eng. Syst. Saf..

[19]  Jian-Bo Yang,et al.  Risk evaluation in failure mode and effects analysis using fuzzy weighted geometric mean , 2009, Expert Syst. Appl..

[20]  Nune Ravi Sankar,et al.  Modified approach for prioritization of failures in a system failure mode and effects analysis , 2001 .

[21]  D. Elmakis,et al.  Power system structure optimization subject to reliability constraints , 1996 .

[22]  Seung J. Rhee,et al.  Using cost based FMEA to enhance reliability and serviceability , 2003, Adv. Eng. Informatics.

[23]  Dong‐Shang Chang,et al.  Applying DEA to enhance assessment capability of FMEA , 2009 .

[24]  Yi Ding,et al.  Multi-state System Reliability Analysis and Optimization for Engineers and Industrial Managers , 2010 .

[25]  Marcello Braglia,et al.  Monte Carlo simulation approach for a modified FMECA in a power plant , 2000 .

[26]  Gregory Levitin,et al.  A new approach to solving problems of multi‐state system reliability optimization , 2001 .

[27]  Hadi Akbarzadeh Khorshidi,et al.  System reliability optimization using time value of money , 2013 .

[28]  Gregory Levitin,et al.  A joint reliability-redundancy optimization approach for multi-state series-parallel systems , 2009, Reliab. Eng. Syst. Saf..

[29]  Marcello Braglia,et al.  MAFMA: multi‐attribute failure mode analysis , 2000 .

[30]  Afshin Jamshidi,et al.  Using Fuzzy Cost‐Based FMEA, GRA and Profitability Theory for Minimizing Failures at a Healthcare Diagnosis Service , 2015, Qual. Reliab. Eng. Int..

[31]  Wei Li,et al.  Reliability evaluation of multi-state weighted k-out-of-n systems , 2008, Reliab. Eng. Syst. Saf..

[32]  F Castiglia,et al.  Risk assessment of component failure modes and human errors using a new FMECA approach: application in the safety analysis of HDR brachytherapy , 2014, Journal of radiological protection : official journal of the Society for Radiological Protection.

[33]  J. B. Bowles,et al.  Fuzzy logic prioritization of failures in a system failure mode, effects and criticality analysis , 1995 .

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

[35]  Jonathan B Kruskal,et al.  Application of failure mode and effect analysis in a radiology department. , 2011, Radiographics : a review publication of the Radiological Society of North America, Inc.