E-raamat: Innovative Intelligent Industrial Production and Logistics: 5th International Conference, IN4PL 2024, Porto, Portugal, November 21-22, 2024, Proceedings, Part II

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
Actors 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.