Deviations in the implementation of logistic processes can lead to poor performance and loss of market share. Thus in first step of this study, trying with implement the process failure mode and effects analysis (PFMEA) in manufacturing organization active in the automotive parts industry, potential logistic risks will be identified. Since, these risks occurring in the future and they are checked based on some predictions by team of experts; three criteria of risk namely the severity, occurrence and detection considered in conditions of uncertainty and scoring to them be considered like interval; so that it is steadier against the commenting of different people. Accordingly, prioritization of logistics risks by using the score coming out of interval data envelopment analysis without-outputs based on three main criteria determining risk priority number which play the role of the inputs of mentioned method are done. Then, prioritization of logistical processes in terms of their criticality, by using the score coming out of grey relational analysis method based on three interval criteria and finally, solutions to reduce the impact of potential risks in critical processes is provided.