The change of market’s demand could be predictable to a certain degree at stable conditions but it may vary due to disruptive events. This research contributes by establishing the improvement of PFMEA (Process Failure Mode and Effect Analysis) analysis in the domain of assessment and determining severity risk factor, as well as identifying of failure priority. According to the researchers’ and practitioners’ suggestions, severity needs to be considered from the multiple aspects. The risk factor severity is considered from the aspects of product importance, quality, and cost. These aspects have different relative importance, which is determined in an exact way. The relative importance of the aspects, as well as the values of the risk factors, was described by linguistic expressions that are modeled by using the Interval type-2 trapezoidal fuzzy numbers (IT2TrFNs). IT2FBWM was used to determine weight vectors of risk factors. The priority of failures is determined according to the Action priority model which proposed by AIAG & VDA (Automotive Industry Action Group and German Association of the Automotive Industry). The proposed methodology is tested in a Case study where the real-life data originated from a company from the Republic of Serbia that operates as a part of an automotive supply chain.

在稳定的条件下，市场需求的变化在一定程度上是可以预测的，但它可能会因破坏性事件而有所不同。该研究有助于在评估和确定严重性风险因素以及确定故障优先级方面建立改进 PFMEA（过程失效模式和影响分析）分析。根据研究人员和从业人员的建议，严重性需要从多方面考虑。从产品重要性、质量和成本等方面考虑风险因素的严重性。这些方面具有不同的相对重要性，这是以精确的方式确定的。这些方面的相对重要性，以及风险因素的价值，是通过使用间隔类型 2 梯形模糊数 (IT2TrFNs) 建模的语言表达式来描述的。IT2FBWM 用于确定风险因素的权重向量。故障的优先级是根据AIAG & VDA（汽车工业行动组织和德国汽车工业协会）提出的Action优先级模型确定的。提议的方法在案例研究中进行了测试，其中真实数据来自塞尔维亚共和国的一家公司，该公司作为汽车供应链的一部分运营。