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An improved FMEA for sustainable risk management in the agri-food industry sector: A mini-review Wafi'uddin, Izzum; Santoso, Imam; Hidayat, Arif; Lu’ayya, Naila Maulidina; Choirun, Annisa’u
Advances in Food Science, Sustainable Agriculture and Agroindustrial Engineering (AFSSAAE) Vol 7, No 4 (2024)
Publisher : Advances in Food Science, Sustainable Agriculture and Agroindustrial Engineering (AFSSAAE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.afssaae.2024.007.04.7

Abstract

Integrating sustainability into risk management is essential for the agri-food sector, as it addresses socio-ecological factors in business operations. Failure Mode and Effect Analysis (FMEA) is widely used for risk management but often lacks precise numerical analysis. This paper subsequently evaluates these enhancements to FMEA, with the objective of (1) conducting a comprehensive examination of research on sustainable risk management in the agri-food industry, and (2) Analyze recent research on improving the FMEA method's effectiveness in risk management. The mini-review is systematically organized by collecting articles, selecting them based on publication year and keywords, screening titles, screening for inclusion, assessing quality through a full-text review, extracting, and analyzing data, and finally reporting the findings. An analysis of 20 papers from 2010 to 2024 was conducted, examining a variety of frameworks. The mini-review was chosen for its flexibility and focus, making it ideal for offering insights with less time and resources. The review results suggest that FMEA has been significantly altered to improve its capabilities, mainly through the integration of fuzzy logic and Data Envelopment Analysis (DEA). Fuzzy FMEA reduces uncertainty, while FMEA-DEA assesses direct and indirect relationships between failure modes, improving risk prioritization. The paper concludes by summarizing the application of FMEA-DEA for sustainable risk management in the agri-food sector.
Risk assessment in sustainable food supply chains: A holistic approach by using HOR-SWOT-ANP/AHP to ensuring performance improvement Prima Dania, Wike Agustin; Lu’ayya, Naila Maulidina; Septifani, Riska
Advances in Food Science, Sustainable Agriculture and Agroindustrial Engineering (AFSSAAE) Vol 7, No 1 (2024)
Publisher : Advances in Food Science, Sustainable Agriculture and Agroindustrial Engineering (AFSSAAE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.afssaae.2024.007.01.4

Abstract

The global food supply chain plays an essential role in economic development while addressing environmental and social issues in its business system. However, this complex network is exposed to various risk factors related to sustainability that can disrupt the supply chain performance. CV. XYZ is a food manufacturer that produces jackfruit chips in Indonesia. During the supply chain process, this company needs to manage the various risks across the supplier, manufacturer, and retailer stages. By identifying and evaluating risks at each stage, mitigation and improvement strategies can be proposed. Therefore, this research aimed to analyze the supply chain risk mitigation and performance improvement strategies for maintaining supply chain stability and performance. House of Risk (HOR) was applied to analyze the mitigation strategies, while SWOT with analytical networking process (ANP) or analytical hierarchy process (AHP)/ (i.e., SWOT-ANP/AHP method)was used for analyzing performance improvement strategies by considering the weight of each factor. The result shows that twelve mitigation strategies are needed to mitigate the fourteen risk agents that focus on improving production activities and human resources. Moreover, eleven strategies have been proposed to improve sustainable supply chain performance in the future, focusing more on marketing activities and enhancing human resource capabilities.