Innovative Intelligent Industrial Production and Logistics : 5th International Conference, IN4PL 2024, Porto, Portugal, November 21–22, 2024, Proceedings, Part I / edited by Michele Dassisti, Kurosh Madani, Hervé Panetto.

Format:

Book

Author/Creator:

Dassisti, Michele.

Contributor:

Madani, Kurosh.

Panetto, Herve.

Series:

Communications in Computer and Information Science, 1865-0937 ; 2372

Language:

English

Subjects (All):

Computer engineering.

Computer networks.

Computer systems.

Application software.

Computers.

Computer Engineering and Networks.

Computer Communication Networks.

Computer System Implementation.

Computer and Information Systems Applications.

Computing Milieux.

Local Subjects:

Computer Engineering and Networks.

Computer Communication Networks.

Computer System Implementation.

Computer and Information Systems Applications.

Computing Milieux.

Physical Description:

1 online resource (655 pages)

Edition:

1st ed. 2025.

Place of Publication:

Cham : Springer Nature Switzerland : Imprint: Springer, 2025.

Summary:

This two-volume set CCIS 2372-2373 constitutes the proceedings of the 5th International Conference on Innovative Intelligent Industrial Production and Logistics, IN4PL 2024, held in Porto, Portugal, during November 21–22, 2024. The total of 15 full papers, along with 38 short papers, presented together in this book was carefully reviewed and selected from 76 submissions. This conference focuses on research and development involving innovative methods, software and hardware, whereby intelligent systems are applied to industrial production and logistics. This is currently related to the concept of industry 5.0 - an expression the new wave that extends the trend towards automation and data exchange in manufacturing technologies and processes – including cyber-physical systems, the industrial internet of things, industrial robotics, cloud computing, cognitive computing and artificial intelligence - towards the new role of human resources cooperating with these technologies.

Contents:

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.

Notes:

Description based on publisher supplied metadata and other sources.

ISBN:

9783031807602

303180760X

OCLC:

1499722560