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March 2, 2026International Journal of Industrial and Systems Engineering0 citations

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

HNH. NaguibTATamer F. Abdelmaguid

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

Inderscience is a global company, a dynamic leading independent journal publisher disseminates the latest research across the broad fields of science, engineering and technology; management, public and business administration; environment, ecological economics and sustainable development; computing, ICT and internet/web services, and related areas.

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Cite This Study

Naguib et al. (2025) studied this question.

synapsesocial.com/papers/69a52dd3f1e85e5c73bf0f71https://doi.org/10.1504/ijise.2025.10076661
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