Innovative Intelligent Industrial Production and Logistics

Main Event: Multi-Agent Deep Q-Network with Layer-Based Communication Channel for Autonomous Internal Logistics Vehicle Scheduling in Smart Manufacturing.- Digital Twin Data Broker with Assisted Mapping into a Knowledge Base.- An Out-of-Sample Clustering Ensemble Method for Defect Detection and Classification in Metal Additive Manufacturing.- Advanced Process Monitoring and OEE Metrics: Leveraging AASs for Efficiency.- Obsolescence Forecasting of Intel Processors: A Transformers Approach.- Machine Learning Tool for Yield Maximization in Cream Cheese Production.- Comparative Evaluation of Irregular Shape Strip-Packing Algorithms.- An Inventory Management Support Tool Through Indirect Q-value Estimation: A Combined Optimization and Forecasting Approach.- Multiscale Clustering to Improve Anomaly Detection in Nuclear Equipments.- Clustering Analysis for Forecasting Medicine Consumption.- A Decision Support System of the Configuration of a Supermarket in a Components Company for the Automotive Industry.- A Distributed Framework for Cooperative Scheduling of Production, Transportation, and Maintenance Using Multi-Agent Systems.- The Role of Actor's Creative Self-Efficacy in AI Enabled Value Creation.- Building Realistic Environment from Computer Vision Approach Applied to Manufacturing Simulation in the Digital Twin Context.- Towards a Process-Based Industry 5.0 Maturity Model: A Feasibility Study in Supply Chain.- A Multi-Objective Genetic Algorithm Approach for Multi-Component Products Recovery and Remanufacturing Planning.- Reinforcement Learning for Optimizing Routing in Production Supply of Matrix Production Systems.- An Innovative Fault Detection Robotic Tool for Overhead Cranes in Industries: Magnetic Wheel Modelling and Experimental Validation.- Current Trends and Future Challenges to Put Circular Manufacturing in Practice.- Enhancing Human - Robot Collaboration in the Industry 5.0.- Framework with Physics-Informed Neural Networks: Application to Collision Detection.- AI-Driven Smart Air Conditioning System for a Sustainable and Energy-Efficient Industrial Future.- A Framework for Resilient Integration of Industry 4.0 Components into  Production Systems.- A Reinforcement Learning Algorithm for Dynamic Job Shop Scheduling.- A Blockchain-Powered Framework for Traceable and Secure Pharmaceutical Delivery with Crowdsourced Logistics.- A Comprehensive Framework Integrating ML, Automation Pyramid, and KPIs for Industry 5.0.- A Novel Pipeline for Data Management and Analysis that Integrates Data Lakehouse Architecture into the Aeronautics Industry.- Multi-Agent Path Planning for Logistics Cargo Environment Using LSTM Based Reinforcement Learning.- Unleashing the Potential of Agility, Resilience and Business Continuity: A Systematic Literature Review.- Accelerating Industry 4.0 and 5.0: The Potential of Generative Artificial Intelligence.- Last-Mile Delivery Optimization Using Mixed Electric Vehicles, UAVs and Full Truck Delivery Based on Artificial Intelligence Algorithms.- Evaluation of Intermodal Transport Routes: Environment and Biodiversity Perspectives.- Optimizing Internal Logistics using Automated Guided Vehicles: An Evaluation of Heuristic Approaches.- Layout Optimization Strategy Based on Three-Stage Cutting Pattern.- On Capability Needs for AI Utilization in Innovation Networks: Critical Literature Review.- Towards the Automation of the Product Definition Process for Design-to-Order Manufacturing Systems.- Stockyard Planning and Optimization Using Intelligent Search.- Enabling Decentralized Collaboration Among Transporters through an Optimizing Trading Network for Transport Orders.- Forecasting Multivariate Time Series with Trend and Seasonality: A Random Forest Approach.- Real-Time Bearing Health Monitoring Using Diffusion-Based Spectral Analysis: A Self-Adaptive Approach to Predictive Maintenance.- The Impact of Logistics Performance on the Convergence of Economic Growth in the Countries of the World.- A Framework for Ontology-Based Engineering Systems: Advances and Open Questions about Knowledge Capture and Use in Aerospace Manufacturing.- Leveraging Large Language Models for Supply Chain Management Optimization: A Case Study.- Boosting Governance-Centric Digital Product Passports Through Traceability in Footwear Industry.- An Improved Hybrid Recommendation Algorithm for Vehicle-Cargo Matching in the Logistics.- E-Waste Collection Under Recycling Hub Demand and Partial Information: The Benchmark Solution in a Pilot Case.- Improved Package Orientation Estimation Using RFID Signal Analysis with Machine Learning.- Contribution of Fuzzy-Possibility Approach to Assessing the Complexity Level of IT-Systems Design.- Optimization of Resource Allocation and Distribution in Industrial Supply Chains and Logistics Networks: A Hybrid Approach based on Genetic Algorithm and Game-Theoretic Analysis.- Integrating Digitalization and Sustainability: An Innovative Approach to Assess Digitainability in Manufacturing.- Towards a Human-Centric Industry 5.0: Exploring Team Roles to Improve Human-Machine Collaboration.- An Ontology Framework for Human-Robot Interoperability in Dynamic Construction Environments.- Training Operator in VR: A Scalable Solution for the Creation of VR Training Scenes.- A Novel Model for Multi-Robot Task Assignment in Smart Warehouses. 18th International Workshop on Enterprise Integration, Interoperability and Networking: Human-Centric Smart Manufacturing: A Framework Utilizing Digital Twins and Cyber-Physical Production Systems (CPPS).- Integrating Knowledge and Data-Driven Artificial Intelligence for Decisional Enterprise Interoperability.- Cognition in Digital Twins for Cyber-Physical Systems and Humans: Where and Why.- Challenges in Composite Digital Twin Models and their Impact on Interoperability.- Research on the Construction Method of Production Equipment Operation Management and Control Information Model Based on Knowledge Graph. Special Session on Industrial AI at the Edge: Digital Twin Model for Resource-Constrained Power System Maintenance Activities.- Microcontroller Based Network for Industrial Edge AI.- Impact of Real-Time Linux for Industrial Edge AI.