Jiaguo Liu, Dalian Maritime University

Hakan Yildiz, Wayne State University

Guoqing Zhang, University of Windsor

This special issue addresses the challenges facing global supply chains as tariff uncertainty and shifting trade policies reshape sourcing, manufacturing, logistics, and market access. The contemporary environment presents unprecedented complexity requiring new decision-making approaches beyond traditional tariff-related research.

The collection seeks high-quality contributions applying Operations Research and Artificial Intelligence methods to supply chain reconfiguration under trade policy uncertainty. The issue welcomes theoretical advances, methodological innovations, applied modeling studies, and practical insights, with particular emphasis on interdisciplinary work integrating OR, AI, supply chain management, and international economics with real-world applications.

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