A Hybrid Tabu Search-Genetic Algorithm Approach for Robust Agri-Food Supply Chain Network Design

Key Points

• The aim is to develop an effective algorithm for designing robust agri-food supply chains.
• Utilized a hybrid approach combining tabu search and genetic algorithms.
• Focused on modeling supply chain networks within the agri-food sector.
• Analyzed design robustness through various scenarios and constraints.
• Achieved significant improvements in supply chain efficiency and resiliency.
• Identified optimal configurations that reduced costs and improved service levels.

Abstract