Bulanık PIPRECIA Tabanlı HTEA Yönteminin Tarımsal Risk Analizi Uygulaması
Özet
Within the scope of the presented thesis, it is aimed to develop a model that includes the
identification of possible failure modes during wheat and barley breeding studies, which
are carried out in an organization operating on agricultural R&D studies and which have
a critical role in ensuring the sustainability of agricultural production, and the
determination of areas that may pose technical risks and risk priorities. In this regard,
risks were analyzed separately with both classical FMEA (Failure Mode and Effect
Analysis) and the proposed Fuzzy PIPRECIA (PIvot Pairwise RElative Criteria
Importance Assessment) and FMEA integrated approach, and the effectiveness and
performance of the integrated approach were measured by comparing the results obtained.
In the proposed model, unlike the classical approach, FMEA team members were
considered as criteria and members were evaluated with the Fuzzy PIPRECIA method
according to their field experience and plant breeding information in line with the
opinions of three decision makers and weight was assigned to each of them. The validity
of the model was measured by considering Spearman and Pearson correlation
coefficients. Then, these values were integrated into the points given by the FMEA team
members, and a common input value was obtained for the probability, severity and
detectability parameters by taking the geometric mean of these values, and RPN (Risk
Priority Number) scores were calculated. To verify the model, sensitivity analysis was
performed by changing the criterion weights. Finally, the applicability and effectiveness
of the model were measured by comparing the proposed model results with the classical
FMEA method results
