Latest papers 70

3 papers in the last four weeks, down 73% on the four weeks before. 0.0% of all new papers.

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  1. AutoMARS: Automatic and Scalable Multi-Agent Large Language Model Framework for Supply Chain Risk Assessment

    Oct 12, 2026Yinzhu Quan, Zefang Liu, Frederick Benaben +1Supply Chain ManagementLLM Agents

  2. Predicting the Financial Impact of Supply Chain Risk for Major AI-Related Semiconductor Firms: A Heterogeneous Graph Patch Transformer Approach

    Sep 26, 2026Jianna Hur, Sagar SamtaniFinancial ForecastingSupply Chain Management

  3. CoRe-MARL: Cooperative Redistribution Under Unknown Dynamics Using Recurrent Multi-Agent Reinforcement Learning

    Sep 16, 2026Naimur Rahman Chowdhury, Shatabdi Sen Prapti, Md. Salehin Seyam +1Partially Observable RLMulti-Agent Systems

  4. Towards Sustainable Hydrogen Systems: Supply Chain Optimization with Model Predictive Control and Reinforcement Learning

    Sep 14, 2026Mahammad ValiyevRL ControlModel Predictive Control

  5. A Hybrid Agentic AI Framework for Intelligent Supply Chain Analytics

    Sep 11, 2026Xian Yeow Lee, Teppei Inoue, Haiyan Wang +1Data Analysis AgentsMulti-Agent LLM Systems

  6. Learning-Augmented Optimization for Strategic Two-Echelon Spare Parts Network Design

    Sep 11, 2026Donato Maragno, Marco Caserta, Alberto Sinigaglia +3Surrogate-Assisted OptimizationMetaheuristic Optimization

  7. Buyer Artificial Intelligence-Enabled Environmental Governance and Supplier Environmental Controversies: An Organizational Information Processing and Signaling

    Sep 10, 2026Yongchao Martin Ma, Xinya GuanSupply Chain ManagementAI Governance

  8. Travel Time Prediction in Supply Chain Management Using Machine Learning

    Sep 5, 2026Balaji VenkateswaranSupply Chain Management

  9. Learning to Price and Stock Under Contextual and Censored Demand

    Sep 5, 2026Zean Han, Zezhen Ding, Jiheng ZhangDynamic PricingSupply Chain Management

  10. Adapting to Evolving Requirements: Agentic AI for Retail Supply Chain Operations

    Sep 3, 2026Lei Zheng, Liping Yang, Zihao Li +3LLM Agent OrchestrationLLM Decision-Making

  11. Semantic Signal-Assisted Inspection and Recovery Allocation in Reverse Logistics

    Sep 2, 2026Jiani He, Dingyan Shang, Yihua Xu +4Supply Chain ManagementIndustrial Inspection

  12. OR-Transformer: Scaling Real-Time Decision-Making to 1,000 Items

    Sep 1, 2026Shuze Daniel Liu, David Simchi-Levi, Claire Chen +2Inventory ControlTransformer

  13. A systematic Approach to constructing a Chance-and-Risk Matrix for Semiconductor Supply Chains

    Sep 1, 2026Ema Salkić, Alexander Fichtl, Philipp Ulrich +3Supply Chain Management

  14. Beyond Thresholds: A Quality-Aware Decision Intelligence Framework for Cold Chain IoT Systems

    Aug 15, 2026Aashna Sofat, Balwinder SodhiSupply Chain ManagementRUL Estimation

  15. Real-Time Climate Risk Assessment for Supply Chain Resilience: A Data-Driven Nowcasting Framework for Colombian Agriculture

    Aug 10, 2026Hernan J. Silva-SosaSupply Chain Management

  16. Per-Shipment Multi-Agent Reinforcement Learning for Intermodal Freight Routing Under Hurricane Disruption

    Aug 7, 2026Aliza Sharmin, Xudong Wang, Mustafa Can Camur +1Vehicle RoutingProximal Policy Optimization

  17. Vehicle routing problem using deep reinforcement learning - A case study about truck planning in the industry

    Aug 7, 2026Siliang Lu, Dan Hu, Lili WuVehicle RoutingSupply Chain Management

  18. Hard Constraints, Smooth Gradients: Learning Feasible Inventory Policies via Differentiable Projection

    Aug 3, 2026Patrick Helm, Jan-Niklas Doerr, Joren Gijsbrechts +1Inventory ControlConstrained RL

  19. SCOPE: Supply-Chain Operations through Coupled Policies for End-to-End Coordination

    Jul 30, 2026Yunhao Liang, Xianqi Cao, Pujun Zhang +4Inventory ControlSupply Chain Management

  20. Integrated Order Dispatching and Routing for Last-Mile Pickup via Deep Reinforcement Learning

    Jul 24, 2026Yida Xu, Zhaofang Mao, Yuheng Miao +2Vehicle RoutingSupply Chain Management

  21. SPORD: A Simulation-Propose-then-OR-Dispose Approach for Supply Chain Planning

    Jul 23, 2026Jiayin He, Yutong Pan, Sen Yang +5Combinatorial OptimizationModel-Based Planning

  22. Censoring-Aware In-Context Learning for Generalized Supplier Lead Time Estimation in Supply Chain Planning

    Jul 20, 2026Christopher Wang, Sebastien Ouellet, Behrouz Haji Soleimani +1Survival AnalysisTime Series Forecasting

  23. On the Potential of Graph Neural Networks as Metamodels for Supply Chain Optimization: Dataset, Architectures, and Directions

    Jul 18, 2026Tushar Lone, Neha KaranjkarNeural Surrogate ModelingTopology Optimization