An improved FMEA for sustainable risk management in the agri-food industry sector: A review 1Department of Agro-industrial Technology, Faculty of Agricultural Technology, Universitas Brawijaya, Malang, Indonesia Abstract Integrating sustainability perspectives into risk management is essential for creating a competitive agri-food industrial sector, as it accounts for socio-ecological aspects in business operations. Failure Mode and Effect Analysis (FMEA) has proven to be an effective and widely used risk management tool across various industries. However, its results are predominantly qualitative and lack precise numerical representation. This paper reviews recent research aimed at enhancing the FMEA method to improve its risk management effectiveness. The review is systematically organized, beginning with a search for research papers on risk management using improved FMEA, followed by an analysis of various frameworks. A key component of FMEA is the Risk Priority Number (RPN), an index used for risk assessment. Traditionally, the RPN is calculated by multiplying three risk factors: severity (S), occurrence (O), and detection (D). While this method is practical and straightforward, the RPN has non-intuitive statistical properties, for example, RPN 120 can result from 24 different SOD combinations, while certain hypothetical numbers, such as 13 and 17, do not occur at all. The review findings indicate that FMEA has been extensively modified to enhance its capabilities. This paper focuses on integrating FMEA with fuzzy logic and Data Envelopment Analysis (DEA). The fuzzy FMEA (FFMEA) incorporates fuzzy logic to address uncertainty, while FMEA-DEA manages risk factor weights and considers both direct and indirect relationships between failure modes. The paper ended with an overview of the research framework related to applying FMEA-DEA for sustainable risk management in the agri-food industrial sector. Keywords: improved FMEA- review- sustainable risk management Topic: Agro-industrial system management and regulation |
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