Skip to main content
SpringerLink
Log in

FMEA Using the Normalized Projection-Based TODIM-PROMETHEE II Model for Blood Transfusion

  • Published:
International Journal of Fuzzy Systems Aims and scope Submit manuscript

Abstract

Failure mode and effect analysis (FMEA) is a forceful way for preventing the occurrence of possible damages before the process of management activities, which is widely utilized in various fields. However, experts’ bounded rationality, imprecise risk assessments and unobjective risk factors’ weights are prominent challenges existed in the conventional FMEA model. Thus, to better meet the challenges and further improve the performance of FMEA, this paper constructs a novel FMEA model for risk ranking by integrating the TODIM with the PROMETHEE II technique under q-rung orthopair fuzzy environment. Considering the fuzziness and uncertainty in risk assessments, q-rung orthopair fuzzy sets (q-ROFSs) are utilized to assist experts in describing their actual opinions concerning each failure modes flexibly and freely. Further, based on the proposed normalized projection model for q-ROFSs, a comprehensive criteria weighting determination method is employed for obtaining the optimal weights and a novel distance measurement of q-ROFSs is also further presented. Subsequently, the integrated TODIM-PROMETHEE II technique is developed for ranking failure modes, which has the ability of considering risk aversion behavior of experts. After that, the detailed steps are depicted via a representative case in blood transfusion. Finally, the comparative analysis is conducted to verify the stable and superiority of the FMEA method proposed in this paper. The proposed method under q-ROF environment can solve some cases which the traditional FMEA technique cannot, as well as helping experts to express their opinions flexibly, which improves the implementation accuracy of the FMEA.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3

Similar content being viewed by others

References

  1. Miljković, N., Godman, B., van Overbeeke, E., Kovačević, M., Tsiakitzis, K., Apatsidou, A., et al.: Risks in antibiotic substitution following medicine shortage: a health-care failure mode and effect analysis of six European Hospitals. Front. Med. 7, 157 (2020)

    Article  Google Scholar 

  2. Liu, H.C., You, X.Y., Tsung, F., Ji, P.: An improved approach for failure mode and effect analysis involving large group of experts: an application to the healthcare field. Qual. Eng. 30(4), 762–775 (2018)

    Article  Google Scholar 

  3. Akyuz, E., Akgun, I., Celik, M.: A fuzzy failure mode and effects approach to analyse concentrated inspection campaigns on board ships. Maritime Policy Manag. 43(7), 887–908 (2016)

    Article  Google Scholar 

  4. Kurt, L., Ozilgen, S.: Failure mode and effect analysis for dairy product manufacturing: practical safety improvement action plan with cases from Turkey. Saf. Sci. 55, 195–206 (2013)

    Article  Google Scholar 

  5. Zadeh, L.A.: Fuzzy sets. Inf. Control 8(3), 338–353 (1965)

    Article  Google Scholar 

  6. Atanassov, K.T.: Intuitionistic fuzzy sets. In: Intuitionistic Fuzzy Sets (pp. 1–137). Physica, Heidelberg (1999).

  7. Liu, Z., Liu, P., Liu, W., Pang, J.: Pythagorean uncertain linguistic partitioned Bonferroni mean operators and their application in multi-attribute decision making. J. Intell. Fuzzy Syst. 32(3), 2779–2790 (2017)

    Article  MathSciNet  Google Scholar 

  8. Can, G.F.: An intutionistic approach based on failure mode and effect analysis for prioritizing corrective and preventive strategies. Hum. Factors Ergon. Manuf. Serv. Ind. 28(3), 130–147 (2018)

    Article  Google Scholar 

  9. Yager, R.R.: Generalized orthopair fuzzy sets. IEEE Trans. Fuzzy Syst. 25(5), 1222–1230 (2016)

    Article  Google Scholar 

  10. Boral, S., Howard, I., Chaturvedi, S.K., McKee, K., Naikan, V.N.A.: A novel hybrid multi-criteria group decision making approach for failure mode and effect analysis: an essential requirement for sustainable manufacturing. Sustain. Prod. Consum. 21, 14–32 (2020)

    Article  Google Scholar 

  11. Huang, J., Li, Z.S., Liu, H.C.: New approach for failure mode and effect analysis using linguistic distribution assessments and TODIM method. Reliab. Eng. Syst. Saf. 167, 302–309 (2017)

    Article  Google Scholar 

  12. Liu, H.C., Wang, L.E., You, X.Y., Wu, S.M.: Failure mode and effect analysis with extended grey relational analysis method in cloud setting. Total Qual. Manag. Bus. Excellence 30(7–8), 745–767 (2019)

    Article  Google Scholar 

  13. Gomes, L.F.A.M.: An application of the TODIM method to the multicriteria rental evaluation of residential properties. Eur. J. Oper. Res. 193(1), 204–211 (2009)

    Article  Google Scholar 

  14. Brans, J.P., Vincke, P., Mareschal, B.: How to select and how to rank projects: The PROMETHEE method. Eur. J. Oper. Res. 24(2), 228–238 (1986)

    Article  MathSciNet  Google Scholar 

  15. Villemagne, C.D., Skelton, R.E.: Model reductions using a projection formulation. Int. J. Control 46(6), 2141–2169 (1987)

    Article  MathSciNet  Google Scholar 

  16. Efe, B.: Analysis of operational safety risks in shipbuilding using failure mode and effect analysis approach. Ocean Eng. 187, 106214 (2019)

    Article  Google Scholar 

  17. Lu, Y., Teng, F., Zhou, J., Wen, A., Bi, Y.: Failure mode and effect analysis in blood transfusion: a proactive tool to reduce risks. Transfusion 53(12), 3080–3087 (2013)

    Article  Google Scholar 

  18. Liu, H.C., You, J.X., Duan, C.Y.: An integrated approach for failure mode and effect analysis under interval-valued intuitionistic fuzzy environment. Int. J. Prod. Econ. 207, 163–172 (2019)

    Article  Google Scholar 

  19. Zheng, G., Jing, Y., Huang, H., Gao, Y.: Application of improved grey relational projection method to evaluate sustainable building envelope performance. Appl. Energy 87(2), 710–720 (2010)

    Article  Google Scholar 

  20. Ji, P., Zhang, H.Y., Wang, J.Q.: A projection-based TODIM method under multi-valued neutrosophic environments and its application in personnel selection. Neural Comput. Appl. 29(1), 221–234 (2018)

    Article  Google Scholar 

  21. Bian, T., Zheng, H., Yin, L., Deng, Y.: Failure mode and effects analysis based on D numbers and TOPSIS. Qual. Reliab. Eng. Int. 34(4), 501–515 (2018)

    Article  Google Scholar 

  22. Chang, K.H., Wen, T.C.: A novel efficient approach for DFMEA combining 2-tuple and the OWA operator. Expert Syst. Appl. 37(3), 2362–2370 (2010)

    Article  Google Scholar 

  23. Qin, J., Liu, X., Pedrycz, W.: An extended TODIM multi-criteria group decision making method for green supplier selection in interval type-2 fuzzy environment. Eur. J. Oper. Res. 258(2), 626–638 (2017)

    Article  MathSciNet  Google Scholar 

  24. Wu, Y., Wang, J., Hu, Y., Ke, Y., Li, L.: An extended TODIM-PROMETHEE method for waste-to-energy plant site selection based on sustainability perspective. Energy 156, 1–16 (2018)

    Article  Google Scholar 

  25. Liu, P., Wang, P.: Some q-rung orthopair fuzzy aggregation operators and their applications to multiple-attribute decision making. Int. J. Intell. Syst. 33(2), 259–280 (2018)

    Article  Google Scholar 

  26. Xu, Z., Da, Q.: Projection method for uncertain multi-attribute decision making with preference information on alternatives. Int. J. Inf. Technol. Decis. Mak. 3(03), 429–434 (2004)

    Article  Google Scholar 

  27. Xu, Z., Hu, H.: Projection models for intuitionistic fuzzy multiple attribute decision making. Int. J. Inf. Technol. Decis. Mak. 9(02), 267–280 (2010)

    Article  Google Scholar 

  28. Yue, Z., Jia, Y.: A direct projection-based group decision-making methodology with crisp values and interval data. Soft. Comput. 21(9), 2395–2405 (2017)

    Article  Google Scholar 

  29. Wang, S., Wang, M.: A novel multi-attribute allocation method based on entropy principle. J. Softw. Eng. 6(1), 16–20 (2012)

    Article  Google Scholar 

  30. Vincke, J.P., Brans, P.: A preference ranking organization method. The PROMETHEE method for MCDM. Manag. Sci. 31(6), 647–656 (1985)

    Article  Google Scholar 

  31. Burgmeier, J.: Failure mode and effect analysis: an application in reducing risk in blood transfusion. Jt. Comm. J. Qual. Improv. 28(6), 331–339 (2002)

    Google Scholar 

  32. Liu, H.C., Liu, L., Liu, N.: Risk evaluation approaches in failure mode and effects analysis: a literature review. Expert Syst. Appl. 40(2), 828–838 (2013)

    Article  Google Scholar 

  33. Wang, R., Li, Y.: A novel approach for green supplier selection under a q-rung orthopair fuzzy environment. Symmetry 10(12), 687 (2018)

    Article  Google Scholar 

  34. Brans, J.P., De Smet, Y.: PROMETHEE methods. In: Multiple Criteria Decision Analysis (pp. 187–219). Springer, New York, NY (2016).

  35. Rezaei, J.: Best-worst multi-criteria decision-making method. Omega 53, 49–57 (2015)

    Article  Google Scholar 

Download references

Acknowledgements

This study was funded by the Social Sciences Research Project of Ministry of Education of China (No. 17YJA630065), the Shandong Provincial Natural Science Foundation (No. ZR2017MG007), the Humanities, Science and Technology Project of Colleges and Universities of Shandong Province (NO. J16LN25), the Special Funds of Taishan Scholars Project of Shandong Province (No. Ts201511045), the National Natural Science Foundation of China (No.71771140).

Author information

Authors and Affiliations

  1. School of Management Science and Engineering, Shandong University of Finance and Economics, Jinan, 250014, China

    Zhengmin Liu, Xinya Wang, Lin Li, Di Wang & Peide Liu

  2. Personnel Department, Shandong University of Finance and Economics, Jinan, 250014, China

    Ningning Sun

Authors
  1. Zhengmin Liu
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Xinya Wang
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Ningning Sun
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Lin Li
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Di Wang
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Peide Liu
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Zhengmin Liu.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Liu, Z., Wang, X., Sun, N. et al. FMEA Using the Normalized Projection-Based TODIM-PROMETHEE II Model for Blood Transfusion. Int. J. Fuzzy Syst. 23, 1680–1696 (2021). https://doi.org/10.1007/s40815-021-01056-3

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s40815-021-01056-3

Keywords

Search

Navigation