𝗧𝗵𝗲 𝗔𝗴𝗲𝗻𝘁𝗶𝗰 𝗦𝘂𝗽𝗽𝗹𝘆 𝗖𝗵𝗮𝗶𝗻: 𝗘𝗻𝘁𝗲𝗿𝗶𝗻𝗴 𝗮 𝗡𝗲𝘄 𝗘𝗿𝗮 𝗶𝗻 𝗔𝗜 𝗶𝗻 𝗦𝘂𝗽𝗽𝗹𝘆 𝗖𝗵𝗮𝗶𝗻 𝗠𝗮𝗻𝗮𝗴𝗲𝗺𝗲𝗻𝘁

𝗖𝗮𝗹𝗹 𝗳𝗼𝗿 𝗣𝗮𝗽𝗲𝗿𝘀

𝗧𝗵𝗲 𝗔𝗴𝗲𝗻𝘁𝗶𝗰 𝗦𝘂𝗽𝗽𝗹𝘆 𝗖𝗵𝗮𝗶𝗻: 𝗘𝗻𝘁𝗲𝗿𝗶𝗻𝗴 𝗮 𝗡𝗲𝘄 𝗘𝗿𝗮 𝗶𝗻 𝗔𝗜 𝗶𝗻 𝗦𝘂𝗽𝗽𝗹𝘆 𝗖𝗵𝗮𝗶𝗻 𝗠𝗮𝗻𝗮𝗴𝗲𝗺𝗲𝗻𝘁

𝗝𝗼𝘂𝗿𝗻𝗮𝗹:
International Journal of Production Research

𝗣𝘂𝗯𝗹𝗶𝘀𝗵𝗲𝗿:
Taylor & Francis Group

𝗠𝗮𝗻𝘂𝘀𝗰𝗿𝗶𝗽𝘁 𝗗𝗲𝗮𝗱𝗹𝗶𝗻𝗲:
30 June 2026

𝗔𝗯𝗼𝘂𝘁 𝘁𝗵𝗲 𝗦𝗽𝗲𝗰𝗶𝗮𝗹 𝗜𝘀𝘀𝘂𝗲

Recent advances in Agentic Large Language Models (LLMs) are transforming the future of Supply Chain Management (SCM). These AI systems can reason, learn, optimise decisions, negotiate, and collaborate with humans and other AI agents, enabling a new era of autonomous and intelligent supply chains.

This Special Issue aims to advance rigorous and multidisciplinary research on agentic technologies and their transformative potential in supply chain management. It seeks to bridge perspectives from operations and supply chain management, artificial intelligence, complexity science, and industrial engineering to unlock innovative solutions for increasingly complex supply chain environments.

As major corporations and technology providers increasingly experiment with agentic AI for supply chain automation, the issue invites research that explores both opportunities and challenges associated with intelligent, autonomous, and scalable supply chain systems.

𝗧𝗼𝗽𝗶𝗰𝘀 𝗼𝗳 𝗜𝗻𝘁𝗲𝗿𝗲𝘀𝘁

Submissions may address, but are not limited to:

• Agentic systems for risk and disruption management in supply chains
• Logistics and supply chain optimisation using AI agents
• Transportation routing, inventory management, and demand forecasting
• Warehouse planning, quality control, and cash flow prediction
• Supply network design and supplier relationship configurations
• Agentic digital twins for simulating supply chain operations
• Sustainability, circular supply chains, and supply chain visibility
• Supply chain financing and intelligent decision support systems
• Multi-agent negotiation and cross-organisational coordination mechanisms
• Mediative and persuasive agentic systems for interorganisational collaboration
• Privacy preservation in multi-agent communication environments
• Integration of agentic systems with blockchain, IoT, Omniverse, and traditional multi-agent systems
• Governance, trustworthiness, safety, and human-in-the-loop systems
• Centralised versus decentralised control in agentic supply chains
• Performance evaluation, back-testing, sensitivity analysis, and uncertainty management
• Long-horizon reasoning and strategies for mitigating AI hallucinations

𝗦𝗽𝗲𝗰𝗶𝗮𝗹 𝗜𝘀𝘀𝘂𝗲 𝗙𝗼𝗰𝘂𝘀

The Special Issue seeks conceptual, empirical, analytical, and technical contributions that examine how agentic AI can improve supply chain planning, coordination, resilience, and decision-making. It encourages innovative studies that offer practical, managerial, and policy insights while addressing emerging challenges related to governance, complexity, and responsible AI deployment in supply chain ecosystems.

𝗦𝘂𝗯𝗺𝗶𝘀𝘀𝗶𝗼𝗻 𝗚𝘂𝗶𝗱𝗲𝗹𝗶𝗻𝗲𝘀

• The Special Issue welcomes technical solutions, advanced modelling approaches, mixed-method studies, and rigorous quantitative and qualitative research.
• Experimental and analytical methodologies with practical industry, managerial, and policy implications are encouraged.
• Manuscripts should be prepared according to the International Journal of Production Research author guidelines.
• All submissions must be made through the journal's online submission system.
• Manuscript Submission Deadline: 30 June 2026.

𝗦𝗽𝗲𝗰𝗶𝗮𝗹 𝗜𝘀𝘀𝘂𝗲 𝗘𝗱𝗶𝘁𝗼𝗿𝘀

• Alexandra Brintrup, University of Cambridge, UK
• Thomas Choi, Arizona State University, USA
• George Huang, Hong Kong Polytechnic University, Hong Kong China
• Dmitry Ivanov, Berlin School of Economics and Law, Germany

𝗣𝗼𝘀𝘁𝗲𝗱 𝗼𝗻 𝗦𝗲𝗿𝘃𝗶𝗰𝗲𝗦𝗲𝘁𝘂 𝗔𝗰𝗮𝗱𝗲𝗺𝗶𝗰𝘀 — 𝗣𝗿𝗲𝗺𝗶𝗲𝗿 𝗣𝗹𝗮𝘁𝗳𝗼𝗿𝗺 𝗳𝗼𝗿 𝗔𝗰𝗮𝗱𝗲𝗺𝗶𝗰 𝗢𝗽𝗽𝗼𝗿𝘁𝘂𝗻𝗶𝘁𝗶𝗲𝘀 & 𝗥𝗲𝘀𝗲𝗮𝗿𝗰𝗵 𝗖𝗼𝗹𝗹𝗮𝗯𝗼𝗿𝗮𝘁𝗶𝗼𝗻

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