Global Supply Chain Reconfiguration Under Tariff Uncertainty

Éditeurs invités

• Jiaguo Liu, Dalian Maritime University
• Hakan Yildiz, Wayne State University
• Guoqing Zhang, University of Windsor

Synthèse

This special issue addresses the urgent need to understand and manage global supply chain reconfiguration in response to tariff uncertainty and shifting trade policies. Rising tariffs and trade tensions are forcing organizations to redesign their sourcing strategies, manufacturing locations, and logistics networks, creating significant practical challenges that require new analytical approaches.

The journal seeks high-quality contributions that apply operations research and artificial intelligence methods to develop decision-making models for supply chain management under tariff uncertainty. Both theoretical advances and practical case studies are welcome, particularly interdisciplinary research that combines OR, AI, supply chain management, and international economics with real-world applications.

Thèmes proposés

• 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