ORIGINAL RESEARCH article
Front. Sustain.
Sec. Sustainable Supply Chain Management
Volume 6 - 2025 | doi: 10.3389/frsus.2025.1653365
This article is part of the Research TopicMathematical Optimization for Decision Support Systems: Practices and Strategies for Sustainable Supply Chain ManagementView all 3 articles
Multi-objective Optimization for the Sustainable Planning of Yam Cultivation and Distribution in the Colombian Caribbean
Provisionally accepted
- Corporación Universitaria del Caribe, Sincelejo, Colombia
Select one of your emails
You have multiple emails registered with Frontiers:
Notify me on publication
Please enter your email address:
If you already have an account, please login
You don't have a Frontiers account ? You can register here
Yam agri-food chains in the department of Sucre experience logistical losses exceeding 30% at certain stages, which undermines the economic and social sustainability of the system. This study proposes a multi-objective optimization model to support the strategic planning of this chain, combining profit maximization and loss minimization criteria. The model was implemented in GAMS (version 49.6.1) using the CPLEX 12.8 solver and solved through the AUGMECON method. We analyzed these solutions using two complementary approaches: slope analysis and the TOPSIS multi-criteria method. This evaluation identified Solution 14 as the most balanced, yielding approximately $4,241 million in profits and 683,818 kg in losses. Based on these findings, strategies focused on loss reduction, supplier diversification and optimal sowing planning are proposed. The study offers a support tool for decision-making in agri-food chains under principles of territorial sustainability
Keywords: Multi-objective1, optimization2, agri-food3, sustainability4, supply chain5, yam6, AUGMECON7
Received: 24 Jun 2025; Accepted: 13 Oct 2025.
Copyright: © 2025 Vergara, Mendoza Ortega, Mármol Barriosnuevo and Díaz Sierra. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Gean Pablo Mendoza Ortega, gean.mendoza@cecar.edu.co
Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.