Guoqing Zhang, University of Windsor

Jiaguo Liu, Dalian Maritime University

Hakan Yildiz, Wayne State University

This special issue addresses the urgent challenge of reconfiguring global supply chains in response to escalating tariff uncertainty and shifting trade policies. The unprecedented complexity of current tariff environments, characterized by high rates, retaliatory measures, and trade tensions, demands new decision-making approaches to support practical supply chain management.

The special issue seeks high-quality research that applies Operations Research and Artificial Intelligence methods to tackle these challenges. Contributions should include theoretical developments, methodological innovations, and applied modeling studies with real-world relevance, particularly those integrating OR, AI, supply chain management, and international economics.

Appel publié par Annals of Operations Research. Voir l'appel sur le site de l'éditeur. Fiche de l'appel sur kerostig.

Potential topics

• Supply network redesign and optimization under tariff uncertainty
• Robust and stochastic optimization models for tariff-driven supply chain planning
• Global supply chain reconfiguration under trade policy uncertainty
• AI-powered dynamic supply chain adaptation and tariff response strategies
• Dynamic production, sourcing, and logistics strategies facing tariff risks
• Supply chain resilience and risk management for tariff disruptions
• Logistics and warehousing for global e-commerce and omnichannel supply chains
• Maritime network and logistics optimization with tariff impacts
• Hybrid OR–machine learning for adaptive decision-making in global supply chains
• Multi-echelon inventory management under fluctuating tariff policies
• AI and data-driven methods for trade policy analysis and supply chain impacts
• Optimization models and algorithms for large-scale global supply chain problems

Timeline

• October 31, 2026: Submission deadline