Integrating TOPSIS and DEMATEL methods to rank the risk of failure of FMEA

International Journal of Information Technology and Decision Making

Volumn 13, Issue 6, 2014, Pages 1229-1257

  Chang, Kuei Hu ^a   Chang, Yung Chia ^b   Lee, Yu Tsai ^b  

^a DEPARTMENT OF PHYSICS   (Taiwan)

^b NATIONAL CHIAO TUNG UNIVERSITY   (Taiwan)

Author keywords

DEMATEL; Failure mode and effect analysis; risk priority number; TOPSIS

Indexed keywords

EID: 84929307366     PISSN: 02196220     EISSN: None     Source Type: Journal    
DOI: 10.1142/S0219622014500758     Document Type: Article

References (46)

1. FMEA handbook Version 4.1, Failure Mode and Effects Analysis: FMEA Handbook (with Robustness Linkages) (Ford Motor Company, 2004).
2. D. H. Stamatis, Failure Mode and Effect Analysis: FMEA from Theory to Execution (ASQ Quality Press, Milwaukee, WI, 2003).
3. US MIL-STD-1629A, Procedures for Performing a Failure Mode Effects and Criticality Analysis (US Department of Defense Washington, DC, 1980).
4. R. K. Sharma, D. Kumar and P. Kumar, Systematic failure mode effect analysis (FMEA) using fuzzy linguistic modeling, International Journal of Quality & Reliability Management 22(9) (2005) 986-1004.
5. M. Braglia, MAFMA: Multi-attribute failure mode analysis, International Journal of Quality & Reliability Management 17(9) (2000) 1017-1033.
6. K. H. Chang, Y. C. Chang, T. C. Wen and C. H. Cheng, An innovative approach integrating 2-tuple and LOWGA operators in process failure mode and effects analysis, International Journal of Innovative Computing Information and Control 8(1B) (2012) 747-761.
7. P. C. Teoh and K. Case, An evaluation of failure modes and effects analysis generation method for conceptual design, International Journal of Computer Integrated Manufacturing 18(4) (2005) 279-293.
8. S. H. Teng and S. Y. Ho, Failure mode and effects analysis: An integrated approach for product design and process control, International Journal of Quality & Reliability Management 13(5) (1996) 8-26.
9. K. H. Chang and C. H. Cheng, Evaluating the risk of failure using the fuzzy OWA and DEMATEL method, Journal of Intelligent Manufacturing 22(2) (2011) 113-129.
10. K. M. Tay, C. H. Jong and C. P. Lim, A clustering-based failure mode and effect analysis model and its application to the edible bird nest industry, Neural Computing & Applications (2014), doi: 10.1007/s00521-014-1647-4.
11. J. B. Bowles, An assessment of RPN prioritization in a failure modes effects and criticality analysis, in Proc. Annual Reliability and Maintainability Symp. (2003), pp. 380-386.
12. K. H. Chang, Evaluate the orderings of risk for failure problems using a more general RPN methodology, Microelectronics Reliability 49(12) (2009) 1586-1596.
13. K. H. Chang and T. C. Wen, A novel efficient approach for DFMEA combining 2-tuple and the OWA operator, Expert Systems with Applications 37(3) (2010) 2362-2370.
14. K. H. Chang and C. H. Cheng, A risk assessment methodology using intuitionistic fuzzy set in FMEA, International Journal of Systems Science 41(12) (2010) 1457-1471.
15. S. M. Seyed-Hosseini, N. Safaei and M. J. Asgharpour, Reprioritization of failures in a system failure mode and effects analysis by decision making trial and evaluation laboratory technique, Reliability Engineering and System Safety 91(8) (2006) 872-881.
16. K. H. Chang, A more general risk assessment methodology using soft sets based ranking technique, Soft Computing 18(1) (2014) 169-183.
17. J. Wang, T. Ruxton and C. R. Labrie, Design for safety of engineering systems with multiple failure state variables, Reliability Engineering and System Safety 50(3) (1995) 271-284.
18. N. R. Sankar and B. S. Prabhu, Modified approach for prioritization of failures in a system failure mode and effects analysis, International Journal of Quality & Reliability Management 18(3) (2001) 324-336.
19. J. R. Chang, K. H. Chang, S. H. Liao and C. H. Cheng, The reliability of general vague fault-tree analysis on weapon systems fault diagnosis, Soft Computing 10(7) (2006) 531-542.
20. J. B. Bowles and C. E. Pelaez, Fuzzy logic prioritization of failures in a system failure mode, effects and criticality analysis, Reliability Engineering and System Safety 50(2) (1995) 203-213.
21. A. Pillay and J. Wang, Modified failure mode and effects analysis using approximate reasoning, Reliability Engineering and System Safety 79(1) (2003) 69-85.
22. M. Braglia, M. Frosolini and R. Montanari, Fuzzy TOPSIS approach for failure mode, effects and criticality analysis, Quality and Reliability Engineering International 19(5) (2003) 425-443.
23. H. C. Liu, L. Liu, Q. H. Bian, Q. L. Lin, N. Dong and P. C. Xu, Failure mode and effects analysis using fuzzy evidential reasoning approach and grey theory, Expert Systems with Applications 38(4) (2011) 4403-4415.
24. A. C. Kutlu and M. Ekmekcioglu, Fuzzy failure modes and effects analysis by using fuzzy TOPSIS-based fuzzy AHP, Expert Systems with Applications 39(1) (2012) 61-67.
25. W. Y. Song, X. G. Ming, Z. Y. Wu and B. T. Zhu, Failure modes and effects analysis using integrated weight-based fuzzy TOPSIS, International Journal of Computer Integrated Manufacturing 26(12) (2013) 1172-1186.
26. W. Song, X. Ming, Z. Wu and B. Zhu, A rough TOPSIS approach for failure mode and effects analysis in uncertain environments, Quality and Reliability Engineering International 30(4) (2014) 473-486.
27. K. Xu, L. C. Tang, M. Xie, S. L. Ho and M. L. Zhu, Fuzzy assessment of FMEA for engine systems, Reliability Engineering and System Safety 75(1) (2002) 17-29.
28. K. M. Tay and C. P. Lim, Fuzzy FMEA with a guided rules reduction system for prioritization of failures, International Journal of Quality & Reliability Management 23(8) (2006) 1047-1066.
29. Z. L. Yang, S. Bonsall and J. Wang, Fuzzy rule-based Bayesian reasoning approach for prioritization of failures in FMEA, IEEE Transactions on Reliability 57(3) (2008) 517-528.
30. M. Abdelgawad and A. R. Fayek, Risk management in the construction industry using combined fuzzy FMEA and fuzzy AHP, Journal of Construction Engineering and Management 136(9) (2010) 1028-1036.
31. H. C. Liu, J. X. You, Q. L. Lin and H. Li, Risk assessment in system FMEA combining fuzzy weighted average with fuzzy decision-making trial and evaluation laboratory, International Journal of Computer Integrated Manufacturing (2014), doi: 10.1080/ 0951192X.2014.900865.
32. IEC-812, Analysis Techniques for System Reliability-Procedures for Failure Mode and Effect Analysis (International Electrotechnical Commission, Geneva, 1985).
33. SAE J-1739, Potential Failure Modes and Effects Analysis in Design, Manufacturing and Assembly Processes (Society of Automotive Engineers, 2002).
34. FMEA Reference Manual, Potential Failure Mode and Effect Analysis (FMEA) Reference Manual, 4th edn. (Automotive industry action group (AIAG), 2008).
35. Instruction Manual, Potential Failure Mode and Effects Analysis (FMEA) (Ford Motor Company, 1988).
36. C. L. Hwang and K. Yoon, Multiple Attribute Decision Making: Methods and Application (Springer-Verlag, New York, 1981).
37. G. Kou, Y. Q. Lu, Y. Peng and Y. Shi, Evaluation of classification algorithms using MCDM and rank correlation, International Journal of Information Technology & Decision Making 11(1) (2012) 197-225.
38. G. Kou, Y. Peng and G. X. Wang, Evaluation of clustering algorithms for financial risk analysis using MCDM methods, Information Sciences 275 (2014) 1-12.
39. M. Yurdakul and Y. T. Ic, Analysis of the benefit generated by using fuzzy numbers in a TOPSIS model developed for machine tool selection problems, Journal of Materials Processing Technology 209 (2009) 310-317.
40. C. M. Feng and R. T. Wang, Performance evaluation for airlines including the consideration of financial ratios, Journal of Air Transport Management 6 (2000) 133-142.
41. T. Y. Chen, Signed distanced-based TOPSIS method for multiple criteria decision analysis based on generalized interval-valued fuzzy numbers, International Journal of Information Technology & Decision Making 10(6) (2011) 1131-1159.
42. A. Gabus and E. Fontela, Perceptions of the world problematique: Communication procedure, communicating with those bearing collective responsibility, DEMATEL Report No. 1 (Battelle Geneva Research Centre, Geneva, Switzerland, 1973).
43. S. Hori and Y. Shimizu, Designing methods of human interface for supervisory control systems, Control Engineering Practice 7(11) (1999) 1413-1419.
44. W. W. Wu, Choosing knowledge management strategies by using a combined ANP and DEMATEL approach, Expert Systems with Applications 35(3) (2008) 828-835.
45. M. L. Tseng, Application of ANP and DEMATEL to evaluate the decision-making of municipal solid waste management in Metro Manila, Environmental Monitoring and Assessment 156(1-4) (2009) 181-197.
46. W. W. Wu and Y. T. Lee, Developing global managers' competencies using the fuzzy DEMATEL method, Expert Systems with Applications 32(2) (2007) 499-507.