A novel approach to conduct risk analysis of FMEA for PCB fabrication process

IEEE International Conference on Industrial Engineering and Engineering Management

Volumn , Issue , 2011, Pages 1275-1278

  Wang, C H ^a  

^a NATIONAL CHIAO TUNG UNIVERSITY   (Taiwan)

Author keywords

FMEA; fuzzy entropy; fuzzy TOPSIS; RPN

Indexed keywords

FAILURE MODE AND EFFECTS ANALYSIS; FMEA; FUZZY ENTROPY; FUZZY MULTI-CRITERIA DECISION MAKINGS; FUZZY TOPSIS; MANUFACTURING PROCESS; PCB FABRICATION; RELATIVE IMPORTANCE; RISK FACTORS; RISK PRIORITY NUMBER; ROOT CAUSE; RPN; TECHNIQUE FOR ORDER PREFERENCE BY SIMILARITY TO IDEAL SOLUTIONS;

ENTROPY; FAILURE MODES; INDUSTRIAL ENGINEERING; INDUSTRY; PRODUCT DESIGN; RISK ANALYSIS; SAFETY ENGINEERING;

PRINTED CIRCUIT BOARDS;

EID: 84863080745     PISSN: 21573611     EISSN: 2157362X     Source Type: Conference Proceeding    
DOI: 10.1109/IEEM.2011.6118121     Document Type: Conference Paper

References (18)

1. Chang CL, Wei CC, Lee YH. Failure mode and effects analysis using fuzzy method and grey theory. Kybernetes 1998; 28 (9):1072-1080.
2. Chang KH, Cheng CH. Evaluating the risk of failure using the fuzzy OWA and DEMATEL method. Journal of Intelligent Manufacturing 2009; in press.
3. Chin KS, Wang YM, Poon GKK, Yang JB. Failure modes and effects analysis using a group-based evidential reasoning approach. Computers & Operations Research 2009; 36:1768-1779.
4. Franceschini F, Galetto M. A new approach for evaluation of risk priorities of failure modes in FMEA. International Journal of Production Research 2001; 39 (13): 2991-3002. (Pubitemid 35165556)
5. Wang YM, Chin KS, Poon GKK, Yang JB. Risk evaluation in failure mode and effects analysis using fuzzy weighted geometric mean. Expert Systems with Applications 2009; 36:1195-1207.
6. Tay KM, Lim CP. Fuzzy FMEA with a guided rules reduction system for prioritization of failures, International Journal of Quality & Reliability Management 2006; 23(8):1047-1065.
7. Bowles JB, Palaez CE. Fuzzy logic prioritization of failures in a system failure mode, effects, and criticality analysis. Reliability Engineering and System Safety 1995; 50: 203-213.
8. Nepal BP, Yadav OP, Monplaisir L, Murat A. A framework for capturing and analyzing the failures due to system/component interactions. Quality & Reliability Engineering International 2008; 24:265-289. (Pubitemid 351533118)
9. Sii HS, Ruxton T, Wang J. A fuzzy-logic based approach to qualitative safety modeling for marine systems. Reliability Engineering and System Safety 2001; 73:19-35.
10. Yadav OP, Singh N, Chinnam RB, Goel PS. A fuzzy logic based approach to reliability improvement estimation during product development. Reliability Engineering and System Safety 2003; 80:63-74.
11. Pillay A, Wang J. Modified failure mode and effects analysis using approximate reasoning. Reliability Engineering and System Safety 2003; 79:69-85.
12. Satty TL. The analytic hierarchy process 1980; McGraw-Hill, New York.
13. Deng J. Control problems of grey systems. System and Control Letters 1982; 1(5):288-294.
14. Hwang, CL, Yoon K. Multiple attribute decision making: methods and applications, A state-of-the-art survey 1981; Springer-Verlag, Berlin.
15. Braglia M. Multi-attribute failure mode analysis. International Journal of Quality & Reliability Management 2000; 17(9):1077-1033.
16. Braglia M, Frosoloni M, Montanari R. Fuzzy TOPSIS approach for failure mode, effects and criticality analysis. Quality & Reliability Engineering International 2003; 19:425-423.
17. Chang CL, Liu PH, Wei CC. Failure mode and effects analysis using grey theory. Integrated Manufacturing Systems 2001; 12 (3):211-216.
18. Chen JK. Utility priority number for FMEA. Journal of failure analysis and prevention 2007; 7:321-328.