A rough TOPSIS approach for failure mode and effects analysis in uncertain environments

Quality and Reliability Engineering International

Volumn 30, Issue 4, 2014, Pages 473-486

  Song, Wenyan ^a   Ming, Xinguo ^a   Wu, Zhenyong ^a   Zhu, Baoting ^a  

^a SHANGHAI JIAO TONG UNIVERSITY   (China)

Author keywords

failure mode and effects analysis; rough group TOPSIS; rough interval; subjectivity and vagueness

Indexed keywords

DECISION MAKING;

FAILURE MODE AND EFFECT ANALYSIS; FAILURE MODE AND EFFECTS ANALYSIS; MULTI-CRITERIA DECISION MAKING; RISK PRIORITY NUMBER; ROUGH GROUP TOPSIS; ROUGH INTERVAL; SUBJECTIVITY AND VAGUENESS; UNCERTAIN ENVIRONMENTS;

FAILURE MODES;

EID: 84901412687     PISSN: 07488017     EISSN: 10991638     Source Type: Journal    
DOI: 10.1002/qre.1500     Document Type: Article

References (34)

1. Stamatis DH,. Failure Mode and Effect Analysis: FMEA from theory to execution. ASQC Quality Press: Milwaukee, Wisconsin, 1995.
2. Sharma RK, Kumar D, Kumar P,. Systematic failure mode effect analysis (FMEA) using fuzzy linguistic modeling. International Journal of Quality and Reliability Management 2005; 22 (9): 986-1004.
3. Franceschini F, Rossetto S,. QFD: the problem of comparing technical/engineering design requirements. Research in Engineering Design 1995b; 7 (4): 270-278.
4. Arunajadai SG, Uder SJ, Stone RB, Tumer IY,. Failure mode identification through clustering analysis. Quality and Reliability International Journal 2004; 20 (5): 511-526.
5. Chang CL, Wei CC, Lee YH,. Failure mode and effects analysis using fuzzy method and grey theory. Kybernetes 1999; 28 (9): 1072-1080.
6. Patrick D,. Practical reliability engineering (4th edn). Publish House of Electronics Industry: Beijing, 2004.
7. Chin KS, Wang YM, Poon GK, Yang JB,. Failure mode and effects analysis by data envelopment analysis. Decision Support Systems 2009; 48 (1): 246-256.
8. Seyed-Hosseini SM, Safaei N, Asgharpour MJ,. Reprioritization of failures in a system failure mode and effects analysis by decision making trial and evaluation laboratory technique. Reliability Engineering and System Safety 2006; 91 (8): 872-881.
9. Seung JR, Kosuke I,. Using cost based FMEA to enhance reliability and serviceability. Advanced Engineering Informatics 2003; 17 (3-4): 179-188.
10. Liu HC, Liu L, Bian QH,. Failure mode and effects analysis using fuzzy evidential reasoning approach and grey theory. Expert Systems with Applications 2010; 38 (4): 4403-4415.
11. Sharma RK, Kumar D, Kumar P,. Modeling system behavior for risk and reliability analysis using KBARM. Quality and Reliability Engineering International 2007; 23 (8): 973-998.
12. Nepal BP, Yadav OP, Monplaisir L, Murat A,. A framework for capturing and analyzing the failures due to system/component interactions. Quality and Reliability Engineering International 2008; 24 (3): 265-289.
13. Gilchrist W,. Modeling Failure Modes and Effects Analysis. International Journal of Quality & Reliability Management 1993; 10 (5): 16-23.
14. Bowles JB, Peláez CE,. Fuzzy logic prioritization of failures in a system failure mode, effects and criticality analysis. Reliability Engineering and System Safety 1995; 50 (2): 203-213.
15. Xu K, Tang LC, Xie M, Ho SL, Zhu ML,. Fuzzy assessment of FMEA for engine systems. Reliability Engineering and System Safety 2002; 75 (1): 17-29.
16. Yang ZL, Bonsall S, Wang J,. Fuzzy rule-based bayesian reasoning approach for prioritization of failures in FMEA. IEEE Transactions on Reliability 2008; 57 (3): 517-528.
17. Tay KM, Lim CP,. Fuzzy FMEA with a guided rules reduction system for prioritization of failures. International Journal of Quality and Reliability Management 2006; 23 (8): 1047-1066.
18. Braglia M, Frosolini M, Ontanari R,. Fuzzy criticality assessment model for failure modes and effects analysis. International Journal of Quality and Reliability Management 2003b; 20 (4): 503-524.
19. Pillay A, Wang J,. Modified failure mode and effects analysis using approximate reasoning. Reliability Engineering and System Safety 2003; 79: 69-85.
20. Puente J, Pino R, Priore P, de la Fuente D,. A decision support system for applying failure mode and effects analysis. International Journal of Quality and Reliability Management 2002; 19 (2): 137-150.
21. Abdelgawad M, Fayek AR,. Risk management in the construction industry using combined fuzzy FMEA and fuzzy AHP. Journal of Construction Engineering and Management 2010; 136 (9): 1028-1036.
22. Wang YM, Chin KS, Ka Kwai Poon G, Yang JB,. Risk evaluation in failure mode and effects analysis using fuzzy weighted geometric mean. Expert Systems with Applications 2009; 36 (2): 1195-1207.
23. Braglia M, Frosolini M, Montanari R,. Fuzzy TOPSIS approach for failure mode, effects and criticality analysis. International Journal of Quality and Reliability Engineering 2003a; 19 (5): 425-443.
24. Garcia PAA, Schirru R, Frutuoso PF, Melo E,. A fuzzy data envelopment analysis approach for FMEA. Progress in Nuclear Energy 2005; 46 (3-4): 359-373.
25. Hua AH, Hsu CW, Kuo TC, Wua WC,. Risk evaluation of green components to hazardous substance using FMEA and FAHP. Expert Systems with Applications 2009; 36 (3): 7142-7147.
26. Chang CL, Liu PH, Wei CC,. Failure mode and effects analysis using gray theory. Integrated Manufacturing Systems 2001; 12 (3): 211-216.
27. Chin KS, Wang YM, Ka KPG, Yang JB,. Failure mode and effects analysis using a group-based evidential reasoning approach. Computers and Operations Research 2009; 36 (6): 1768-1779.
28. Seyed-Hosseini SM, Safaei N, Asgharpour MJ,. Reprioritization of failures in a system failure mode and effects analysis by decision making trial and evaluation laboratory technique. Reliability Engineering and System Safety 2006; 91 (8): 872-881.
29. Pawlak Z, Rough sets. International Journal of Computing and Information Sciences 1982; 11 (5): 341-356.
30. Pawlak Z, Rough sets: Theoretical aspects of reasoning about data. Kluwer Academic Publishing: Dordrecht, 1991.
31. Greco S, Matarazzo B, Slowinski R,. Rough set theory for multi-criteria decision analysis. European Journal of Operational Research 2001; 129 (1): 1-47.
32. Zhai L, Khoo L, Zhong Z,. A rough set enhanced fuzzy approach to quality function deployment. International Journal of Advanced Manufacturing Technology 2008; 37 (5/6): 613-624.
33. Pawlak Z, A rough set view on rayes' theorem. International Journal of Intelligent Systems 2003; 18 (5): 487-498.
34. Khoo LP, Tor SB, and, Zhai LY,. A rough-set based approach for classification and rule induction. International Journal of Advanced Manufacturing Technology 1999; 15 (6): 438-444.