Innovative Intelligent Industrial Production and Logistics
Springer International Publishing (Verlag)
978-3-032-15575-7 (ISBN)
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This two-volume set CCIS 2825-2826 constitutes the proceedings of the 6th International Conference on Innovative Intelligent Industrial Production and Logistics, IN4PL 2025, held in Marbella, Spain, during October 23 24, 2025.
The 19 full papers and 25 short papers included in this book were carefully reviewed and selected from 58 submissions. They are organized into the following topical sections:
Part I: Industry of the Future
Part II: Logistics; and 19th International IFAC/IFIP Workshop on Enterprise Integration, Interoperability and Networking.
.- Industry of the Future
.- Enhancing Advanced Planning of Manufacturing Operations Using Discrete Event Simulation.
.- Digital Twins in Warehousing Logistics: Trends and Insights from a Systematic Mapping Study.
.- Kubernetes-Driven Digital Twin Framework Using Asset Administration Shell for Smart Industry.
.- A Human Ontology with Cognition and Ability Models for Human and Cognitive Digital Twins.
.- Synergizing Systems Engineering and System Dynamics: A Model-Based Approach to Enhance Manufacturing Circularity.
.- Integrating Product Lifecycle Management, Business Innovation, and Sustainability in the Era of Industry 5.0: A Synergistic Framework.
.- From Semantic Interoperability to Cognitive Interoperability: Enabling Human CPS Collaboration in Industry 5.0.
.- Voice-Based Collaborative Robot Interaction: A Modular, Speech-Based Interface Using LLMs.
.- Shaping the Future of Aerospace Industrial Architecture with MBE-Driven Solutions: MOONRISE Project.
.- Feature Fusion with Online Principal Component Analysis for Embedded Unsupervised Machine Monitoring.
.- Remote Industry Supervision on Mobile Application Based on OPC UA Protocol.
.- Semantic Validation for AAS Submodels Using Semantic Dictionary and Generative AI.
.- Next-Gen Contextual Anomaly Detection for Sustainable and Efficient Production in Industry 4.0.
.- Toward Dynamic Flexible Job-Shop Scheduling Combining Graph Neural Networks and Deep Reinforcement Learning on Heterogeneous Graph Representations.
.- Adaptive Learning Paths for Industry 4.0 Competencies: Didactic Framework with Role- and Maturity-Based Differentiation Using the Asset Administration Shell.
.- Industrial Metaverse Architecture in the Automotive Sector.
.- LLM Trained Bandit Algorithms For Improving Q-Commerce Grocery Swaps.
.- Intelligent Monitoring System Integrating IoT and Machine Learning for Air Quality Detection and Control.
.- A Strategic Roadmap for the Adoption and Operational Integration of Robot-Assisted Surgery in Modern Healthcare System.
.- Towards Farmers 5.0 by Collaborative Networks Support.
.- Cloud Technologies Driving Scalable Innovation with Strategic Governance.
.- Ontology-Driven Adaptive Manufacturing System for Real-Time CNC Turning Optimisation.
.- Creative Attention: Detecting Creativity Stages Through Human Attention Dynamics.
.- Toward Cybersecure-by-Design Manufacturing Systems: A Taxonomy of Hardware-Based Approaches for Software Cybersecurity Violation Detection.
| Erscheint lt. Verlag | 1.2.2026 |
|---|---|
| Reihe/Serie | Communications in Computer and Information Science |
| Zusatzinfo | XX, 389 p. |
| Verlagsort | Cham |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Themenwelt | Informatik ► Weitere Themen ► Hardware |
| Schlagworte | AI-Enhanced Cyber-Physical Systems • artificial intelligence applied to intelligent manufacturing • Artificial Intelligence Techniques for Industry • Big Data and Data • Cloud-based Manufacturing Technologies • Digital Transformation Strategies of Industrial Enterprises • Green Intelligent Systems • Internet of Things and Services • Knowledge Management in Industry • new advances in industrial automation and robotics • Smart Manufacturing Systems & Network • Systems Modeling and Simulation • Virtual Enterprises and Interoperability |
| ISBN-10 | 3-032-15575-4 / 3032155754 |
| ISBN-13 | 978-3-032-15575-7 / 9783032155757 |
| Zustand | Neuware |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
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