Prioritizing proactive risk mitigation strategies in agri-food supply chains: an integrated fuzzy decision-support framework

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Muhammad Faisal Ibrahim, Imam Santoso, Siti Asmaul Mustaniroh, Retno Astuti, Hsin Rau

2026 Journal of Industrial and Production Engineering Article Cited by 1

Abstract

Post-harvest fish losses remain a persistent barrier to food security, profitability, and sustainability in tropical aquaculture supply chains. This study develops a novel fuzzy-integrated decision-support framework that incorporates both efficiency and stakeholder influence into the House of Risk 2 model, extending it into a multidimensional prioritization tool. The framework combines the Fuzzy Delphi Method to validate expert-driven mitigation options, Fuzzy Data Envelopment Analysis to measure strategy efficiency, and Fuzzy Interpretive Structural Modeling to quantify actor interdependence and influence, integrated through a fuzzy-modified House of Risk 2 model under a triangular fuzzy set environment. Eight mitigation strategies were validated, with capacity building, ice-use training, and market-facility improvement identified as the most effective and feasible. The model offers a data-driven approach for designing resource-efficient and institutionally coordinated mitigation strategies, highlighting the need for synergistic technical, infrastructural, and governance actions to achieve Sustainable Development Goal targets 12.3 and 14.7. © 2026 Chinese Institute of Industrial Engineers.

Affiliations

Department of Agroindustrial Technology, Faculty of Agricultural Technology, Brawijaya University, Malang, Indonesia; Department of Logistics Engineering, Universitas Internasional Semen Indonesia, Gresik, Indonesia; Department of Industrial and Systems Engineering, Chung Yuan Christian University, Taoyuan, Taiwan