Supply Chain Management

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Supply chain management studies how connected organizations plan and coordinate sourcing, production, inventory, transportation, and fulfillment. It matters because disruptions, uncertain demand, and capacity limits can affect costs, delivery service, and access to essential goods across an entire network. Common approaches combine demand and delay forecasting with mathematical optimization, simulation, graph models, and reinforcement learning; newer systems also use language-model agents to analyze information and coordinate decisions. A central challenge is turning promising predictions and policies into reliable, feasible decisions across changing conditions, while balancing efficiency with resilience, transparency, and sustainability.

Latest papers

75 papers5 papers in the last four weeks, down 17% on the four weeks before. 0.0% of all new papers.

Halal-NeSyNet: Clause-Scoped Neuro-Symbolic Cross-Attention for Automated Food Ingredient Auditing and Risk-Aware Halal Logistics Triage
Nov 1, 2026Mochamad Rizal Fauzan, Naila Nursyifa, Irgi SuryaNeuro-Symbolic Reasoning Supply Chain Management
National Taipei University of Technology, Taipei, Taiwan · Logistics Engineering, Universitas Pendidikan Indonesia, Bandung, Indonesia
Agentic AI Orchestration Framework for Spatial Intelligence: Supply Chain Deployment
Oct 25, 2026Constantinos Papantoniou, Brian HiltonAI Agent Architecture Multi-Agent Orchestration
Anassa.ai USA · Research Scientist USA
A Dynamic Inventory Rationing Model for Last-Mile Delivery of Medication in Liberia's Community Health Program
Oct 23, 2026Baris Ata, Yufan Chen, Robert MontgomeryInventory Control Supply Chain Optimization
Booth School of Business, University of Chicago · Rady School of Management, University of California San Diego
Honesty is the Best Policy ... or is it? Demand Management for Probabilistic Service Options
Oct 15, 2026Daniela Sailer, Robert Klein, Claudius SteinhardtInformation Design Supply Chain Management
Chair of Analytics & Optimization, University of Augsburg · Chair of Business Analytics & Management Science, University of the Bundeswehr Munich
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 Management LLM Agents
Physical Internet Center, H. Milton Stewart School of Industrial and Systems Engineering, Georgia Institute of Technology, Atlanta, 30332, GA, USA · School of Computational Science and Engineering, Georgia Institute of Technology, Atlanta, 30332, GA, USA · Centre Genie Industriel, IMT Mines Albi, Albi, France
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 Forecasting Supply Chain Management
Data Science and Artificial Intelligence Lab (DSAIL), Kelley School of Business Indiana University, Bloomington, IN, USA
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 RL Multi-Agent Resource Allocation
Industrial and Systems Engineering, North Carolina State University, Raleigh, NC, United States · Department of Industrial and Production Engineering, Bangladesh University of Engineering and Technology, Dhaka, 1000, Bangladesh
Towards Sustainable Hydrogen Systems: Supply Chain Optimization with Model Predictive Control and Reinforcement Learning
Sep 14, 2026Mahammad ValiyevRL Control Model Predictive Control
Department of Chemical Engineering University of Southern California Los Angeles, California, United States
A Hybrid Agentic AI Framework for Intelligent Supply Chain Analytics
Sep 11, 2026Xian Yeow Lee, Teppei Inoue, Haiyan Wang +1Data Analysis Agents Multi-Agent LLM Systems
Industrial AI Lab Hitachi America
Learning-Augmented Optimization for Strategic Two-Echelon Spare Parts Network Design
Sep 11, 2026Donato Maragno, Marco Caserta, Alberto Sinigaglia +3Surrogate-Assisted Optimization Metaheuristic Optimization
Amazon RME · IE University, Department of Operations · Reinforcement Learning Research Lab, UniPD
Buyer Artificial Intelligence-Enabled Environmental Governance and Supplier Environmental Controversies: An Organizational Information Processing and Signaling
Sep 10, 2026Yongchao Martin Ma, Xinya GuanSupply Chain Management AI Governance
School of Management Huazhong University of Science & Technology, PR China · School of Economics and Management Harbin Engineering University Harbin, PR China
Travel Time Prediction in Supply Chain Management Using Machine Learning
Sep 5, 2026Balaji VenkateswaranSupply Chain Management
Swiss School of Business and Management, Geneva
Learning to Price and Stock Under Contextual and Censored Demand
Sep 5, 2026Zean Han, Zezhen Ding, Jiheng ZhangDynamic Pricing Supply Chain Management
The Hong Kong University of Science and Technology
A Constraint-Aware Generative Framework for Synthetic Origin-Destination Demand in Logistics Networks
Sep 3, 2026Leian ChenSynthetic Data Generation Constrained Generative Modeling
Adapting to Evolving Requirements: Agentic AI for Retail Supply Chain Operations
Sep 3, 2026Lei Zheng, Liping Yang, Zihao Li +3LLM Agent Orchestration LLM Decision-Making
School of Business and Management, Hong Kong University of Science and Technology · School of Management, University of Science and Technology of China · Institute of Operations Research and Analytics, National University of Singapore +1
Semantic Signal-Assisted Inspection and Recovery Allocation in Reverse Logistics
Sep 2, 2026Jiani He, Dingyan Shang, Yihua Xu +4Supply Chain Management Industrial Inspection
Independent Researcher Seattle, USA · Independent Researcher Frisco, USA · Independent Researcher San Jose, USA +3
OR-Transformer: Scaling Real-Time Decision-Making to 1,000 Items
Sep 1, 2026Shuze Daniel Liu, David Simchi-Levi, Claire Chen +2Inventory Control Transformer
Massachusetts Institute of Technology · Purdue University · California Institute of Technology +1
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
1Infineon Technologies AG, Munich, GERMANY · 2TUM School of Computation, Information and Technology, Technical University of Munich, Munich, GERMANY
Supply Chain Analytics: A Data-Driven Approach
Aug 17, 2026Elioth SanabriaSupply Chain Management Data-Driven Control
Beyond Thresholds: A Quality-Aware Decision Intelligence Framework for Cold Chain IoT Systems
Aug 15, 2026Aashna Sofat, Balwinder SodhiSupply Chain Management RUL Estimation
Independent Researcher · Dept. of Computer Science and Engineering, IIT Ropar
DACRI: Decision-Aware Causal Intervention Ranking for Critical Supply Chains
Aug 11, 2026Shiqi Huang, Jiani He, Dingyan Shang +4Learning to Rank Supply Chain Management
Independent Researcher
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
School of Engineering Corporación Universitaria de Ciencia y Desarrollo - UNICIENCIA Bogotá, Colombia
Per-Shipment Multi-Agent Reinforcement Learning for Intermodal Freight Routing Under Hurricane Disruption
Aug 7, 2026Aliza Sharmin, Xudong Wang, Mustafa Can Camur +1Vehicle Routing Proximal Policy Optimization
Department of Industrial and Systems Engineering University of Tennessee Knoxville, TN 37996
Vehicle routing problem using deep reinforcement learning - A case study about truck planning in the industry
Aug 7, 2026Siliang Lu, Dan Hu, Lili WuVehicle Routing Supply Chain Management
Bosch Center for Artificial Intelligence Shanghai, China · School of Electronic Information and Electrical Engineering Shanghai, China · School of Computer Science, Macau University of Science and Technology Macau, China
Hard Constraints, Smooth Gradients: Learning Feasible Inventory Policies via Differentiable Projection
Aug 3, 2026Patrick Helm, Jan-Niklas Doerr, Joren Gijsbrechts +1Inventory Control Constrained RL
TUM School of Management, Technical University of Munich · Esade, Ramon Llull University · Munich Data Science Institute (MDSI), Technical University of Munich
SCOPE: Supply-Chain Operations through Coupled Policies for End-to-End Coordination
Jul 30, 2026Yunhao Liang, Xianqi Cao, Pujun Zhang +4Inventory Control Supply Chain Management
The University of Hong Kong, Hong Kong SAR, China · OptiMax AI, Hong Kong SAR, China · JD.com, China
When LLM Agents Negotiate: Private Information and Dynamic Bargaining in Supply Chains
Jul 29, 2026Chen Liang, Fasheng XuMulti-Agent Negotiation Automated Negotiation
School of Business, University of Connecticut
Scoping Review of AI, Metrology, and ESG in the Semiconductor Sector: Implications for Safe and Sustainable by Design (SSbD)
Jul 25, 2026Karen Ang, Han-Teng LiaoSemiconductor Manufacturing Supply Chain Management
Dept. Process Engineering · Kulim, Malaysia · Independent Researcher +1
Integrated Order Dispatching and Routing for Last-Mile Pickup via Deep Reinforcement Learning
Jul 24, 2026Yida Xu, Zhaofang Mao, Yuheng Miao +2Vehicle Routing Supply Chain Management
College of Management and Economics, Tianjin University, Tianjin 300072, China · Laboratory of Computation and Analytics of Complex Management Systems (CACMS), Tianjin University, Tianjin 300072, China
SPORD: A Simulation-Propose-then-OR-Dispose Approach for Supply Chain Planning
Jul 23, 2026Jiayin He, Yutong Pan, Sen Yang +5Combinatorial Optimization Model-Based Planning
Department of Industrial Engineering, Tsinghua University, Beijing 100084, China · JD.com, Beijing, China, 101111 · College of Engineering, UC Berkeley, Berkeley, CA 94720, USA +1

Nov 1, 2026J/K move · Enter open · S save

Halal-NeSyNet: Clause-Scoped Neuro-Symbolic Cross-Attention for Automated Food Ingredient Auditing and Risk-Aware Halal Logistics Triage

Mochamad Rizal Fauzan, Naila Nursyifa, Irgi Surya

National Taipei University of Technology, Taipei, Taiwan · Logistics Engineering, Universitas Pendidikan Indonesia, Bandung, Indonesia

Neuro-Symbolic Reasoning Supply Chain Management

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Verifying that a packaged food is Halal requires reading ingredient declarations and E-number additives before goods enter certified warehouses. Dual-origin additives such as E471, E422, E441 and E920 are Mushbooh (doubtful) unless a botanical, microbial or certified-Halal qualifier appears in the same ingredient clause, so a plant-based qualifier on one clause must not clear an unqualified additive in another. We call a failure to respect this scope cross-clause modifier confounding and build a benchmark of 3,199 items (277 Open Food Facts records and 2,922 template-generated clause-swap items, labelled by an explicit 50-code rule base rather than by a certification authority) with a 540-item counterfactual suite. We propose Halal-NeSyNet, which couples a DistilBERT encoder with a 16-dimensional rule-derived symbolic vector through cross-attention and gated fusion, trained with an asymmetric false-Halal risk loss. Over five seeds, text-only TF-IDF baselines reach 86.25-86.71 % accuracy with 13.42-21.73 % false-Halal leakage and 6.33-26.00 % counterfactual triad consistency, whereas Halal-NeSyNet reaches 97.04+/-0.34 % and 99.67+/-0.50 %. Gradient boosting given the same symbolic vector reaches 96.25+/-1.24 % (+0.59 points from Halal-NeSyNet, 95 % CI [-1.11, +2.28]), so most of the gain comes from clause-scoped symbolic features and not from the network, and the risk loss did not help. Holding out whole template families, text-only models fall to 61.91-78.35 %, Halal-NeSyNet to 90.87+/-11.76 % and logistic regression with the symbolic vector to 91.11+/-2.88 %, with far more spread for Halal-NeSyNet. A three-lane receiving simulation auto-clears 49.33 % of cargo at 0.76 % green-lane contamination. Because labels and features come from one rule engine and 91.3 % of the items are templated, the results measure fidelity to a rule policy, not religious certification.