A fuzzy TOPSIS and Rough Set based approach for mechanism analysis of product infant failure

Engineering Applications of Artificial Intelligence

Volumn 47, Issue , 2016, Pages 25-37

  He, Yi Hai ^a,b   Wang, Lin Bo ^a   He, Zhen Zhen ^a   Xie, Min ^b  

^a BEIHANG UNIVERSITY   (China)

^b CITY UNIVERSITY OF HONG KONG   (Hong Kong)

Author keywords

Fuzzy TOPSIS; Multi criteria decision making (MCDM); Product infant failure mechanism; Relational tree; Rough Set

Indexed keywords

DATA INTEGRATION; DECISION MAKING; FAILURE (MECHANICAL); FORESTRY; PRODUCT DESIGN; QUALITY CONTROL; RELIABILITY ANALYSIS; ROUGH SET THEORY; TREES (MATHEMATICS); VIBRATION ANALYSIS;

ARTIFICIAL INTELLIGENCE TECHNIQUES; FAILURE MECHANISM; FUZZY TOPSIS; IDENTIFICATION OF PRODUCTS; MULTI-CRITERIA DECISION MAKING; MULTI-CRITERIA DECISION MAKING PROBLEMS; RELATIONAL TREES; TECHNIQUE FOR ORDER PREFERENCE BY SIMILARITY TO IDEAL SOLUTIONS;

LIFE CYCLE;

EID: 84948569647     PISSN: 09521976     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.engappai.2015.06.002     Document Type: Article

References (49)

1. S. Mohammad Arabzad, Mazaher Ghorbani, Jafar Razmi, and Hadi Shirouyehzad Employing fuzzy TOPSIS and SWOT for supplier selection and order allocation problem Int. J. Adv. Manuf. Technol. 76 2014 803 818
2. Emel KIzIlkaya Aydogan Performance measurement model for Turkish aviation firms using the rough-AHP and TOPSIS methods under fuzzy environment Expert Syst. Appl. 38 2011 3992 3998
3. M. Bebbington, C.D. Lai, D.N.P. Murthy, and R. Zitikis Modelling N- and W-shaped hazard rate functions without mixing distributions Proc. Inst. Mech. Eng. O: J. Risk Reliab. 223 2009 59 69
4. Joseph B. Bernstein Reliability Prediction from Burn-In Data Fit to Reliability Models 2014 Academic Press Elsevier Inc. London
5. S.K. Bhaumik Root cause analysis in engineering failures Trans. Indian Inst. Met. 63 2-3 2010 297 299
6. Vito Calderaro, Christoforos N. Hadjicostis, Antonio Piccolo, and Pierluigi Siano Failure identification in smart grids based on petri net modeling IEEE Trans. Ind. Electron. 58 10 2011 4613 4623
7. Qingwei Cao, Jian Wu, and Changyong Liang An intuitionsitic fuzzy judgement matrix and TOPSIS integrated multi-criteria decision making method for green supplier selection J. Intell. Fuzzy Syst. 28 1 2015 117 126
8. S.J. Chen, and C.L. Hwang Lecture Notes in Economics and Mathematical System Series Fuzzy Multi Attribute Decision Making 375 1992 Springer-Verlag New York
9. Ting Yu Chen The inclusion-based TOPSIS method with interval-value dintuitionistic fuzzy sets for multiple criteria group decision making Appl. Soft Comput. 26 2015 57 73
10. Liran Einav, and Jonathan Levin Economics in the age of big data Science 346 6210 2014 715 721
11. Katharina Fischer, Thomas Stalin, Hans Ramberg, Jan Wenske, Goran Wetter, Robert Karlsson, and Torbjorn Thiringer Field-experience based root-cause analysis of power-converter failure in wind turbines IEEE Trans. Power Electron. 30 5 2015 2481 2492
12. E. Fredrik Improving system by combining axiomatic design, quality control tools and designed experiments Res. Eng. Des. 12 2000 204 219
13. M. Gall, C. Capasso, D. Jawarani, R. Hernandez, H. Kawasaki, and P.S. Ho Statistical analysis of early failures in electromigration J. Appl. Phys. 90 2 2001 732 740
14. Yolanda Gil, Mark Greaves, James Hendler, and Haym Hirsh Amplify scientific discovery with artificial intelligence Science 346 6206 2014 171 172
15. David Gonzalez Gonzalez, Mario Cantu Sifuentes, Rolando Praga Alejo, Bernardo Flores Hermosillo, and Ricardo Zuñiga Salazar Fuzzy reliability analysis with only censored data Eng. Appl. Artif. Intell. 32 2014 151 159
16. C.L. Hwang, and K.P. Yoon Lecture Notes in Economics and Mathematical Systems Multiple Attributes Decision Making Methods and Applications 186 1981 Springer-Verlag Berlin
17. R. Jiang, and D.N.P. Murthy Impact of quality variations on product reliability Reliab. Eng. Syst. Saf. 94 2009 490 496
18. J. Jin, and Y. Chen Quality and reliability information integration for design evaluation of fixture system reliability Qual. Reliab. Eng. Int. 17 5 2001 355 372
19. Kailash C. Kapur, and Michael Pecht Reliability Engineering 2014 John Wiley & Sons, Inc. Hoboken, New Jersey
20. Kyungmee O. Kim Effects of manufacturing defects on the device failure rate J. Korean Stat. Soc. 42 2013 481 495
21. Kyungmee O. Kim, Ming J. Zuo, and Way Kuo On the relationship of semiconductor yield and reliability IEEE Trans. Semicond. Manuf. 18 3 2005 422 429
22. Gülser Köksal, Inci Batmaz, and Murat Caner Testik A review of data mining applications for quality improvement in manufacturing industry Expert Syst. Appl. 38 2011 13448 13467
23. Way Kuo, and Taeho Kim An overview of manufacturing yield and reliability modeling for semiconductor products Proc. IEEE 87 8 1999 1329 1344
24. Daniel Kurz, Horst Lewitschnig, and Jürgen Pilz Advanced bayesian estimation of weibull early life failure distributions Qual. Reliab. Eng. Int. 30 2014 363 373
25. T. Warren Liao An investigation of a hybrid CBR method for failure mechanisms identification Eng. Appl. Artif. Intell. 17 2004 123 134
26. Fang Liu, and Wei Guo Zhang TOPSIS-based consensus model for group decision-making with incomplete interval fuzzy preference relations IEEE Trans. Cybern. 44 8 2014 1283 1294
27. Ali Motamedi, Amin Hammad, and Yoosef Asen Knowledge-assisted BIM-based visual analytics for failure root cause detection in facilities management Autom. Constr. 43 2014 73 83
28. William Q. Meeker, and Yili Hong Reliability meets big data: opportunities and challenges Qual. Eng. 26 2014 102 116
29. Douglas C. Montgomery Big data and the quality profession Qual. Reliab. Eng. Int. 30 2014 447
30. Murthy D.N.P., 2010. New research in reliability warranty and maintenance. In: Proceedings of the 4th Asia-Pacific International Symposium. pp. 504-515.
31. Masayuki Nakao, Kensuke Tsuchiya, and Kenji Iino Three typical failure scenarios of the mind process of design from the axiomatic design perspective CIRP Ann. - Manuf. Technol. 58 2009 165 168
32. Patrick O'Connor, and Andre Kleyner Practical reliability engineering 2012 John Wiley & Sons, Ltd. West Sussex, United Kingdom
33. Z. Pawlak Rough sets Int. J. Inf. Comput. Sci. 11 1982 348 356
34. Ransom David L., 2007. A practical guideline for successful root cause failure analysis. In: Proceedings of the Thirty-Sixth Turbomachinery Symposium. pp. 149-156.
35. Lala Septem Riza, Andrzej Janusz, Christoph Bergmeir, Chris Cornelis, Francisco Herrera, Dominik ͆lezak, and José Manuel Benítez Implementing algorithms of rough set theory and fuzzy rough set theory in the R package "rough sets" Inf. Sci. 287 2014 68 89
36. Ewa Roszkowska, and Tomasz Wachowicz Application of fuzzy TOPSIS to scoring the negotiation offers in ill-structured negotiation problems Eur. J. Oper. Res. 242 2015 920 932
37. William J. Roesch Using a new bathtub curve to correlate quality and reliability Microelectron. Reliab. 52 2012 2864 2869
38. Mahmood Shafiee A fuzzy analytic network process model to mitigate the risks associated with offshore wind farms Expert Syst. Appl. 42 2015 2143 2152
39. Shi Jianjun, 2013. Data fusion for in-process quality improvement. In: Proceedings of the 5th Manufacturing Engineering Society International Conference, Zaragoza, June 2013.
40. R.K. Singh, and Lyes Benyoucef A fuzzy TOPSIS based approach for e-sourcing Eng. Appl. Artif. Intell. 24 2011 437 448
41. Wen yan Song, Xin guo Ming, Zhen yong Wu, and Baoting Zhu A rough TOPSIS approach for failure mode and effects analysis in uncertain environments Qual. Reliab. Eng. Int. 30 4 2014 473 486
42. Chung Ho Su, Ken T.K. Chen, and Kuo Kuang Fan Rough set theory based fuzzy TOPSIS on serious game design evaluation framework Math. Probl. Eng. 2013 2013 1 13
43. N.P. Suh Axiomatic Design: Advances and Applications 2001 Oxford University press New York
44. Manjit Verma, and Amit Kumar A novel general approach to evaluating the reliability of gas turbine system Eng. Appl. Artif. Intell. 28 2014 13 21
45. Y.J. Wang, H.S. Lee, and K. Lin Fuzzy TOPSIS for multi-criteria decision-making Int. Math. J. 3 2003 367 379
46. Qing Hui Wang, and Jing Rong Li A rough set-based fault ranking prototype system for fault diagnosis Eng. Appl. Artif. Intell. 17 2004 909 917
47. Lv Yaqiong, Man Ka Lee, and Wu Zhang Fuzzy theory applied in quality management of distributed manufacturing system: a literature review and classification Eng. Appl. Artif. Intell. 24 2011 266 277
48. L.A. Zadeh Fuzzy sets Inf. Control 8 3 1965 338 353
49. Akram Zouggari, and Lyes Benyoucef Simulation based fuzzy TOPSIS approach for group multi-criteria supplier selection problem Eng. Appl. Artif. Intell. 25 2012 507 519