Skip to main content
Top
Published in: International Journal on Interactive Design and Manufacturing (IJIDeM) 2/2019

02-01-2019 | Original Paper

An improved FMEA analysis method based on QFD and TOPSIS theory

Authors: Ying-Kui Gu, Zi-xin Cheng, Guang-qi Qiu

Published in: International Journal on Interactive Design and Manufacturing (IJIDeM) | Issue 2/2019

Log in

Activate our intelligent search to find suitable subject content or patents.

search-config
loading …

Abstract

In order to solve the fuzziness in calculating the risk priority number in traditional failure modes and effect analysis (FMEA), a ranking method of failure mode improvement priorities based on technique for order preference by similarity to ideal solution theory was proposed firstly. An integrated analysis model based on FMEA and quality function deployment (QFD) was proposed to fully consider the interaction between various failure modes and the customer satisfaction degree with product performance, economy, and service. The importance of customer requirements is obtained by using the analytic hierarchy process, and the importance of technical characteristics is obtained by using weighted geometric average algorithm. Then the importance of the technical characteristics is converted to the correction coefficient to the FMEA evaluation, so as to obtain the relative harmfulness of each failure model. The proposed integrated model makes up for the deficiencies in FMEA that the relevant information of customer requirements and technical characteristics can not be used as the basis for judging failure mode improvement priorities, and the expansion of each stage of QFD can provide information and basis for the analysis and evaluation of the failure modes in the FMEA. A case of failure modes and effect analysis of a certain diesel engine fuel system was taken as an example to illustrate the proposed method.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

Literature
1.
go back to reference Chin, K.S., Wang, Y.M., Poon, G.K.K., Yang, J.B.: Failure mode and effects analysis by data envelopment analysis. Decis. Support Syst. 48(1), 246–256 (2009)CrossRef Chin, K.S., Wang, Y.M., Poon, G.K.K., Yang, J.B.: Failure mode and effects analysis by data envelopment analysis. Decis. Support Syst. 48(1), 246–256 (2009)CrossRef
2.
go back to reference Jerry, S.: FMEA: failure mode effects analysis. Ind. Maint. Plant Oper. 57(12), 44 (1996) Jerry, S.: FMEA: failure mode effects analysis. Ind. Maint. Plant Oper. 57(12), 44 (1996)
3.
go back to reference Christian, S., Davide, R., Caterina, R.: A state-of-the-art review of FMEA/FMECA including patents. Comput. Sci. Rev. 25, 19–28 (2017)CrossRef Christian, S., Davide, R., Caterina, R.: A state-of-the-art review of FMEA/FMECA including patents. Comput. Sci. Rev. 25, 19–28 (2017)CrossRef
4.
go back to reference Xiao, N.C., Huang, H.Z., Li, Y.F., He, L.P., Jin, T.D.: Multiple failure modes analysis and weighted risk priority number evaluation in FMEA. Eng. Fail. Anal. 18(4), 1162–1170 (2011)CrossRef Xiao, N.C., Huang, H.Z., Li, Y.F., He, L.P., Jin, T.D.: Multiple failure modes analysis and weighted risk priority number evaluation in FMEA. Eng. Fail. Anal. 18(4), 1162–1170 (2011)CrossRef
5.
go back to reference Chin, K.S., Chan, A., Yang, J.B.: Development of a fuzzy FMEA based product design system. Int. J. Adv. Manuf. Technol. 36(7–8), 633–649 (2008)CrossRef Chin, K.S., Chan, A., Yang, J.B.: Development of a fuzzy FMEA based product design system. Int. J. Adv. Manuf. Technol. 36(7–8), 633–649 (2008)CrossRef
6.
go back to reference Peeters, J.F.W., Basten, R.J.I., Tinga, T.: Improving failure analysis efficiency by combining FTA and FMEA in a recursive manner. Reliab. Eng. Syst. Saf. 172, 36–44 (2018)CrossRef Peeters, J.F.W., Basten, R.J.I., Tinga, T.: Improving failure analysis efficiency by combining FTA and FMEA in a recursive manner. Reliab. Eng. Syst. Saf. 172, 36–44 (2018)CrossRef
7.
go back to reference Mandal, S., Maiti, J.: Risk analysis using FMEA: fuzzy similarity value and possibility theory based approach. Expert Syst. Appl. 41(7), 3527–3537 (2014)CrossRef Mandal, S., Maiti, J.: Risk analysis using FMEA: fuzzy similarity value and possibility theory based approach. Expert Syst. Appl. 41(7), 3527–3537 (2014)CrossRef
8.
go back to reference Xu, K., Tang, L.C., Xie, M., Ho, S.L., Zhu, M.L.: Fuzzy assessment of FMEA for engine systems. Reliab. Eng. Syst. Saf. 75(1), 17–29 (2002)CrossRef Xu, K., Tang, L.C., Xie, M., Ho, S.L., Zhu, M.L.: Fuzzy assessment of FMEA for engine systems. Reliab. Eng. Syst. Saf. 75(1), 17–29 (2002)CrossRef
9.
go back to reference Wang, Y.M., Chin, K.S., Poon, G.K.K., Yang, J.B.: Risk evaluation in failure mode and effects analysis using fuzzy weighted geometric mean. Expert Syst. Appl. 36(2), 1195–1207 (2009)CrossRef Wang, Y.M., Chin, K.S., Poon, G.K.K., Yang, J.B.: Risk evaluation in failure mode and effects analysis using fuzzy weighted geometric mean. Expert Syst. Appl. 36(2), 1195–1207 (2009)CrossRef
10.
go back to reference Sharma, R.K.S., Kumar, D., Kumar, P.: Systematic failure mode effect analysis (FMEA) using fuzzy linguistic modeling. Int. J. Qual. Reliab. Manag. 22, 986–1004 (2005)CrossRef Sharma, R.K.S., Kumar, D., Kumar, P.: Systematic failure mode effect analysis (FMEA) using fuzzy linguistic modeling. Int. J. Qual. Reliab. Manag. 22, 986–1004 (2005)CrossRef
11.
go back to reference Tsai, S.B., Zhou, J., Gao, Y.: Combining FMEA with DEMATEL models to solve production process problems. PLoS ONE 12(8), e0183634 (2017)CrossRef Tsai, S.B., Zhou, J., Gao, Y.: Combining FMEA with DEMATEL models to solve production process problems. PLoS ONE 12(8), e0183634 (2017)CrossRef
12.
go back to reference Chang, K.H., Chang, Y.C., Lee, Y.T.: Integrating TOPSIS and DEMATEL methods to rank the risk of failure of FMEA. Int. J. Inf. Technol. Decis. Mak. 13(6), 1229–1257 (2014)CrossRef Chang, K.H., Chang, Y.C., Lee, Y.T.: Integrating TOPSIS and DEMATEL methods to rank the risk of failure of FMEA. Int. J. Inf. Technol. Decis. Mak. 13(6), 1229–1257 (2014)CrossRef
13.
go back to reference Vahdani, B., Salimi, M., Charkhchian, M.: A new FMEA method by integrating fuzzy belief structure and TOPSIS to improve risk evaluation process. Int. J. Adv. Manuf. Technol. 77(1–4), 357–368 (2015)CrossRef Vahdani, B., Salimi, M., Charkhchian, M.: A new FMEA method by integrating fuzzy belief structure and TOPSIS to improve risk evaluation process. Int. J. Adv. Manuf. Technol. 77(1–4), 357–368 (2015)CrossRef
14.
go back to reference Bian, T., Zheng, H.Y., Yin, L.K., Deng, Y.: Failure mode and effects analysis based on D numbers and TOPSIS. Qual. Reliab. Eng. Int. 34(4), 501–515 (2018)CrossRef Bian, T., Zheng, H.Y., Yin, L.K., Deng, Y.: Failure mode and effects analysis based on D numbers and TOPSIS. Qual. Reliab. Eng. Int. 34(4), 501–515 (2018)CrossRef
15.
go back to reference Song, W.Y., Ming, X.G., Wu, Z.Y., Zhu, B.T.: Failure modes and effects analysis using integrated weight-based fuzzy TOPSIS. Int. J. Comput. Integr. Manuf. 26(12), 1172–1186 (2013)CrossRef Song, W.Y., Ming, X.G., Wu, Z.Y., Zhu, B.T.: Failure modes and effects analysis using integrated weight-based fuzzy TOPSIS. Int. J. Comput. Integr. Manuf. 26(12), 1172–1186 (2013)CrossRef
16.
go back to reference Liu, H.C., You, J.X., Shan, M.M., Shao, L.N.: Failure mode and effects analysis using intuitionistic fuzzy hybrid TOPSIS approach. Soft. Comput. 19(4), 1085–1098 (2015)CrossRef Liu, H.C., You, J.X., Shan, M.M., Shao, L.N.: Failure mode and effects analysis using intuitionistic fuzzy hybrid TOPSIS approach. Soft. Comput. 19(4), 1085–1098 (2015)CrossRef
17.
go back to reference Can, K.A., Mehmet, E.: Fuzzy failure modes and effects analysis by using fuzzy TOPSIS-based fuzzy AHP. Expert Syst. Appl. 39(1), 61–67 (2012)CrossRef Can, K.A., Mehmet, E.: Fuzzy failure modes and effects analysis by using fuzzy TOPSIS-based fuzzy AHP. Expert Syst. Appl. 39(1), 61–67 (2012)CrossRef
18.
go back to reference Meraj, R., Farhad, S.N.: Prediction of subsidence risk by FMEA using artificial neural network and fuzzy inference system. Int. J. Min. Sci. Technol. 25(4), 655–663 (2015)CrossRef Meraj, R., Farhad, S.N.: Prediction of subsidence risk by FMEA using artificial neural network and fuzzy inference system. Int. J. Min. Sci. Technol. 25(4), 655–663 (2015)CrossRef
19.
go back to reference Li, X.T., Li, H., Sun, B.Z., Wang, F.: Assessing information security risk for an evolving smart city based on fuzzy and grey FMEA. J. Intell. Fuzzy Syst. 34(4), 2491–2501 (2018)CrossRef Li, X.T., Li, H., Sun, B.Z., Wang, F.: Assessing information security risk for an evolving smart city based on fuzzy and grey FMEA. J. Intell. Fuzzy Syst. 34(4), 2491–2501 (2018)CrossRef
20.
go back to reference Hassan, A., Siadat, A., Dantan, J.Y., Martin, P.: Conceptual process planning an improvement approach using QFD, FMEA, and ABC methods. Robot. Comput. Integr. Manuf. 26(4), 392–401 (2010)CrossRef Hassan, A., Siadat, A., Dantan, J.Y., Martin, P.: Conceptual process planning an improvement approach using QFD, FMEA, and ABC methods. Robot. Comput. Integr. Manuf. 26(4), 392–401 (2010)CrossRef
21.
go back to reference Bhuvanesh, K.M., Parameshwaran, R.: Fuzzy integrated QFD, FMEA framework for the selection of lean tools in a manufacturing organization. Prod. Plan. Control 29(5), 403–417 (2018)CrossRef Bhuvanesh, K.M., Parameshwaran, R.: Fuzzy integrated QFD, FMEA framework for the selection of lean tools in a manufacturing organization. Prod. Plan. Control 29(5), 403–417 (2018)CrossRef
22.
go back to reference Chen, L.H., Ko, W.C.: Fuzzy linear programming models for new product design using QFD with FMEA. Appl. Math. Model. 33(2), 633–647 (2009)MATHCrossRef Chen, L.H., Ko, W.C.: Fuzzy linear programming models for new product design using QFD with FMEA. Appl. Math. Model. 33(2), 633–647 (2009)MATHCrossRef
23.
go back to reference Almannai, B., Greenough, R., Kay, J.: A decision support tool based on QFD and FMEA for the selection of manufacturing automation technologies. Robot. Comput. Integr. Manuf. 24(4), 501–507 (2008)CrossRef Almannai, B., Greenough, R., Kay, J.: A decision support tool based on QFD and FMEA for the selection of manufacturing automation technologies. Robot. Comput. Integr. Manuf. 24(4), 501–507 (2008)CrossRef
25.
go back to reference Xia, M.M., Xu, Z.S.: Entropy/cross entropy-based group decision making under intuitionistic fuzzy environment. Inf. Fusion 13(1), 31–47 (2012)CrossRef Xia, M.M., Xu, Z.S.: Entropy/cross entropy-based group decision making under intuitionistic fuzzy environment. Inf. Fusion 13(1), 31–47 (2012)CrossRef
26.
27.
go back to reference Gu, Y.K., Liang, L.Q., Cheng, Z.X.: Failure modes and effect analysis of complex system based on cross-entropy and TOPSIS. China Saf. Sci. J. 26(2), 31–37 (2016) Gu, Y.K., Liang, L.Q., Cheng, Z.X.: Failure modes and effect analysis of complex system based on cross-entropy and TOPSIS. China Saf. Sci. J. 26(2), 31–37 (2016)
28.
go back to reference Wang, Y.M., Chan, K.S.: Technical importance ratings in fuzzy QFD by integrating fuzzy normalization and fuzzy weighted average. Comput. Math Appl. 62(11), 4207–4221 (2011)MathSciNetMATHCrossRef Wang, Y.M., Chan, K.S.: Technical importance ratings in fuzzy QFD by integrating fuzzy normalization and fuzzy weighted average. Comput. Math Appl. 62(11), 4207–4221 (2011)MathSciNetMATHCrossRef
29.
go back to reference Wen, C.K.: Exploiting 2-tuple linguistic representational model for constructing HOQ-based failure modes and effects analysis. Comput. Ind. Eng. 64(3), 858–865 (2013)CrossRef Wen, C.K.: Exploiting 2-tuple linguistic representational model for constructing HOQ-based failure modes and effects analysis. Comput. Ind. Eng. 64(3), 858–865 (2013)CrossRef
Metadata
Title
An improved FMEA analysis method based on QFD and TOPSIS theory
Authors
Ying-Kui Gu
Zi-xin Cheng
Guang-qi Qiu
Publication date
02-01-2019
Publisher
Springer Paris
Published in
International Journal on Interactive Design and Manufacturing (IJIDeM) / Issue 2/2019
Print ISSN: 1955-2513
Electronic ISSN: 1955-2505
DOI
https://doi.org/10.1007/s12008-018-00523-w

Other articles of this Issue 2/2019

International Journal on Interactive Design and Manufacturing (IJIDeM) 2/2019 Go to the issue

Premium Partner