Optimization Methodologies for Sustainable Risk Management in Agricultural Sector: A Systematic Review Fara Darojati1, Imam Santoso 1*, Yi-Chun Peng2, Arif Hidayat1, Wendra Gandhatyasri Rohmah1,2
1) Department of Agroindustrial Technology, Faculty of Agriculture Technology, Universitas Brawijaya, 1 Veteran St, Malang, East Java 65145, Indonesia
*Email: imamsantoso[at]ub.ac.id
2)Department of Industrial and Systems Engineering, Chung Yuan Christian University, No. 200, Zhongbei Road, Zhongli District, Taoyuan City 32023, Taiwan
Abstract
The rapid growth of the global population and the escalating impacts of climate change have posed significant challenges to sustainable risk management in the agricultural sector. However, previous studies have not comprehensively integrated risk variables, optimization methods, and effectiveness evaluation criteria within a unified systematic framework. This study aims to identify key variables, optimization techniques, and evaluation indicators in sustainable agri-sector risk management, while also determining the most effective optimization approaches. A Systematic Literature Review was conducted following the PRISMA 2020 protocol, with searches performed in the Scopus and Web of Science databases. Out of 2,193 initial records, 50 articles met the inclusion criteria and were thoroughly analyzed. The results reveal that economic and environmental aspects are the most dominant objectives, with hybrid optimization models being the most widely applied. The most frequent application areas include Nexus Sustainability Systems and Water Resource Management. The optimization techniques employed range from mathematical programming and metaheuristics to artificial intelligence, with effectiveness indicators such as water efficiency, carbon emissions, and profitability. This study provides an integrative framework for adaptive decision-making in the agricultural sector and recommends the adoption of hybrid approaches to better address the complexity and multidimensionality of sustainable agricultural risk management.
