Wahyu Lis Setyaningsih, Budi Setiawan, Agustina Shinta
Focusing on resilience-building in the Robusta coffee supply chain, this study introduces an innovative risk analysis and mitigation framework utilizing fuzzy logic techniques in the context of East Java. The research addresses critical issues of uncertainty and ambiguity in risk assessment, which are often inadequately handled by traditional methods. Fuzzy Failure Mode and Effects Analysis (FMEA) and the Fuzzy Analytical Hierarchy Process (AHP) were employed to identify, evaluate, and prioritize potential risks and mitigation strategies. Data was collected from 150 respondents, including 80 farmers, 30 processors, 20 distributors, and 20 local government officials. Unlike conventional risk analysis methods that rely on precise numerical inputs, fuzzy logic incorporates subjective perceptions and imprecise data, making it particularly effective in addressing complex and uncertain conditions. This study reveals the applicability of fuzzy techniques in enhancing supply chain resilience by providing a flexible and realistic approach to decisionmaking. The study revealed enhanced pest management, improved irrigation systems, crop diversification, and infrastructure development as the most effective mitigation strategies against climate-related supply chain risks. Based on these findings, practical recommendations were proposed for farmers, policymakers, and supply chain managers to strengthen resilience and sustainability within the Robusta coffee supply chain. This research contributes to supply chain risk management by applying fuzzy-based FMEA and AHP techniques, offering a structured and adaptable framework for analyzing uncertainties and prioritizing risk mitigation strategies in agricultural contexts. © 2025 by the authors. Licensee ResearchersLinks Ltd, England, UK.
Departement of Agricultural Social Economics, Faculty of Agriculture, Brawijaya University, Indonesia
