The industrial development and economic growth have provided a conducive environment for manufacturing process improvements. However, this progress also poses several challenges to remain competitive and improve efficiency and productivity. Failure mode and effect analysis is a systematic approach that is used extensively in the field of risk management to enhance quality and efficiency in different sectors including manufacturing and healthcare sectors. In this paper, novel approach to enhance the failure mode and effects analysis is proposed. The approach can address the inherent uncertainty involved in assigning numerical values to represent the severity, occurrence and detection of each failure. A case study from a small-scale factor was assessed to ensure the applicability and effectiveness of the proposed approach.