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ORCID5th IN4PL 2024: Porto, Portugal
- Michele Dassisti, Kurosh Madani, Hervé Panetto
:
Innovative Intelligent Industrial Production and Logistics - 5th International Conference, IN4PL 2024, Porto, Portugal, November 21-22, 2024, Proceedings, Part I. Communications in Computer and Information Science 2372, Springer 2025, ISBN 978-3-031-80759-6
Main Event
- Mohammad Feizabadi, Arman Hosseini, Zakaria Yahouni:
Multi-Agent Deep Q-Network with Layer-Based Communication Channel for Autonomous Internal Logistics Vehicle Scheduling in Smart Manufacturing. 3-22 - Thomas Schmeyer, Kai Krämer, Anna-Lena Peh, Boris Brandherm, Margarita Chikobava, Gian-Luca Kiefer:
Digital Twin Data Broker with Assisted Mapping into a Knowledge Base. 23-40 - Sylvain Chabanet, Adil Han Orta, Mathias Kersemans:
An Out-of-Sample Clustering Ensemble Method for Defect Detection and Classification in Metal Additive Manufacturing. 41-58 - Aaron Zielstorff, Dirk Schöttke, Fiona Helena Büttner, Thomas Kämpfe, Stephan Schäfer:
Advanced Process Monitoring and OEE Metrics: Leveraging AASs for Efficiency. 59-75 - Manelle Nouar, Amel Souifi, Bertrand Decocq, Marc Zolghadri:
Obsolescence Forecasting of Intel Processors: A Transformers Approach. 76-96 - Loïc Parrenin, Ambre Dupuis, Christophe Danjou, Bruno Agard:
Machine Learning Tool for Yield Maximization in Cream Cheese Production. 97-114 - Niccolò Giovenali, Giulia Bruno, Paolo Chiabert:
Comparative Evaluation of Irregular Shape Strip-Packing Algorithms. 115-127 - Amanda Rodrigues Delfiol, Camélia Dadouchi, Bruno Agard, Philippe St-Aubin:
An Inventory Management Support Tool Through Indirect Q-Value Estimation: A Combined Optimization and Forecasting Approach. 128-139 - Amaratou Mahamadou Saley, Thierry Moyaux, Aicha Sekhari, Guillaume Bouleux, Vincent Cheutet, Jean-Baptiste Danielou:
Multiscale Clustering to Improve Anomaly Detection in Nuclear Equipments. 140-154 - Douglas Mateus Machado, Zakaria Yahouni, Gülgün Alpan, Denis Koala:
Clustering Analysis for Forecasting Medicine Consumption. 155-172 - Telma Pereira, José António Oliveira, António Vieira:
A Decision Support System of the Configuration of a Supermarket in a Components Company for the Automotive Industry. 173-188 - Yassir Haoudi, Agnès Letouzey, Xavier Desforges:
A Distributed Framework for Cooperative Scheduling of Production, Transportation, and Maintenance Using Multi-Agent Systems. 189-201 - Tuomas Hongisto, Jyri Vilko:
The Role of Actor's Creative Self-efficacy in AI Enabled Value Creation. 202-222 - Marcelo Rudek, Ana P. R. Valle, Ricardo Bertolin:
Building Realistic Environment from Computer Vision Approach Applied to Manufacturing Simulation in the Digital Twin Context. 223-235 - Sara Himmiche, Jean-Luc Maire, Jose-Fernando Jimenez, Magali Pralus, Laurent Tabourot:
Towards a Process-Based Industry 5.0 Maturity Model: A Feasibility Study in Supply Chain. 236-249 - Latifa Belhocine, Mohammed Dahane, Mohammed Yagouni:
A Multi-objective Genetic Algorithm Approach for Multi-component Products Recovery and Remanufacturing Planning. 250-269 - Florian Ried, Simon Niederdränk, Johannes Fottner:
Reinforcement Learning for Optimizing Routing in the Production Supply of Matrix Production Systems. 270-281 - Arun Kumar Yadav, Janusz Szpytko:
An Innovative Fault Detection Robotic Tool for Overhead Cranes in Industries: Magnetic Wheel Modelling and Experimental Validation. 282-295 - Yasamin Eslami, Chiara Franciosi, Maroua Nouiri, Adriana Giret, Elisa Negri, Pascale Marangé:
Current Trends and Future Challenges to Put Circular Manufacturing in Practice. 296-304 - Francesco G. Ciampi, Thierno M. L. Diallo, Faïda Mhenni, Stanislao Patalano, Jean-Yves Choley:
Enhancing Human - Robot Collaboration in the Industry 5.0 Framework with Physics-Informed Neural Networks: Application to Collision Detection. 305-318 - Cherifa Nakkach, Yvan Picaud:
AI-Driven Smart Air Conditioning System for a Sustainable and Energy-Efficient Industrial Future. 319-330 - Héctor Hostos, Virginie Goepp, Patrick Sondi:
A Framework for Resilient Integration of Industry 4.0 Components into Production Systems. 331-349 - Laura Alcamo, Giulia Bruno, Niccolò Giovenali:
A Reinforcement Learning Algorithm for Dynamic Job Shop Scheduling. 350-366 - Kadim Lahcen Nadime, Jamal Benhra, Rajaa Benabbou, Salma Mouatassim:
A Blockchain-Powered Framework for Traceable and Secure Pharmaceutical Delivery with Crowdsourced Logistics. 367-384 - Pedro Ponce, Brian Anthony, Russel Bradley, Wenhao Xu, Juana Isabel Méndez, Arturo Molina:
A Comprehensive Framework Integrating ML, Automation Pyramid, and KPIs for Industry 5.0. 385-409 - Nelson Freitas, Diogo Vaqueira, André Dionísio Rocha, José Barata, Fábio Serrano, Luís Silva, Manuel Madeira:
A Novel Pipeline for Data Management and Analysis that Integrates Data Lakehouse Architecture into the Aeronautics Industry. 410-424 - Gun Rae Cho, Sungho Park, Eui-Jung Jung, Hyunseok Shin, Soeun Son, Yong Choi:
Multi-agent Path Planning for Logistics Cargo Environment Using LSTM Based Reinforcement Learning. 425-439 - Kunruthai Meechang, Margherita Pero, Khaled Medini:
Unleashing the Potential of Agility, Resilience and Business Continuity: A Systematic Literature Review. 440-455 - Pedro Antonio Boareto, Anderson Luis Szejka, Eduardo de Freitas Rocha Loures, Fernando Deschamps, Eduardo Alves Portela Santos:
Accelerating Industry 4.0 and 5.0: The Potential of Generative Artificial Intelligence. 456-472
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last updated on 2025-11-04 00:41 CET by the dblp team
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