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

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.