EUDDIC Cluster: Data-driven Distributed Industrial Response to Industry 4.0 Challenges

EUDDIC Cluster: Data-driven Distributed Industrial Response to Industry 4.0 Challenges

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29/01/2025

You are kindly invited to join us in this EUDDIC Online Webinar that explores data-driven distributed industrial responses to Industry 4.0 Challenges encountered by three project consortiums and pilot use case trials (ZEROSWARM, 5GTIMBER and RE4DY) and the individual responses that each project and consortium has led during the last 2-3 years.

Zero-Swarm Pilot: Innovative Strategies for Real-Time AMR Fleet Management and Optimization in Intra-Logistics Automation

Discover how the future of logistics is being redefined through cutting-edge trials from the Zero-SWARM project. These trials demonstrate how Autonomous Mobile Robots (AMRs) are revolutionizing intra-logistics, bringing smarter, safer, and more efficient solutions to industrial environments.

The Zero-SWARM trials focus on real-world applications of advanced fleet management and dynamic task allocation. By leveraging AI-driven technologies, these trials showcase seamless coordination of multiple AMRs, optimized resource utilization, and enhanced operational efficiency. Adaptive algorithms are used to assign tasks in real-time, ensuring systems can respond flexibly to changing demands while improving safety and throughput.

Tested in state-of-the-art industrial environments, the Zero-SWARM framework addresses practical challenges and delivers actionable insights for industries looking to embrace automation. The results highlight the potential for scalable and resilient intra-logistics systems, setting new benchmarks for efficiency and innovation.

5GTimber Pilot: Digital Twin and timber machine optimization

How can timber processing companies streamline operations, minimize downtime, and optimize machine setup—all while improving throughput and reducing operator intervention?
This is the key challenge faced by Hekotek, a 5G-TIMBER partner, in advancing timber packing automation.

The solution? A convergence of Digital Twin (DT) technology, IoT, and Machine Learning (ML). These machines handle sawn timbers through precise collection, movement, and packing processes. However, the current reliance on manual, experience-based parameter tuning, involving multiple process variables, often leads to jams and downtime requiring operator intervention.

By integrating IoT sensors, advanced ML models, and a DT of the machine, this use case introduces a data-driven approach to:

  • Fine-tune process parameters and enhance machine throughput.
  • Detect and classify anomalies, such as timber misalignments or jams, in real-time.
  • Provide augmented reality (AR) tools for installation, setup, and service operations.

The DT framework enables continuous monitoring, predictive maintenance, and operator training, reducing trial-and-error in machine setup. It also offers valuable insights for improving future designs through simulation of control scenarios.

Through collaboration and cutting-edge innovation, we are shaping a smarter, more efficient, and reliable timber processing ecosystem, paving the way for optimized industrial performance.

RE4DY Pilot: Collaborative ecosystem integrated machine tool performance self-optimisation

How can manufacturing companies minimize waste, reduce energy consumption, and optimize machining operations—all while cutting costs and lowering their CO2 footprint?

This is the pressing Industry 4.0 challenge faced by GF+ and FRAISA.

The answer? Dataspaces and collaborative innovation.

By leveraging the cutting-edge RE4DY toolkit, the Resiliency Framework, and Innovalia Metrology’s advanced services, a groundbreaking solution has emerged: an open, transparent, and fully integrated machine tool value network data ecosystem.

In this ecosystem, data and services flow seamlessly in a trusted environment, enabling:

  • End-to-end tracking of machine parts and tools throughout their lifecycle.
  • Synchronization with Circular Cognitive Digital Twins (CDTs), which ensure continuous optimization of operations.
  • Data-driven maintenance and reprocessing strategies, guided by real-time lifecycle data, to enhance efficiency and sustainability.

Through collaboration and innovation, RE4DY is demonstrating how digital technologies can drive climate-neutral, circular, and smart production systems.

Don’t miss this chance to explore how RE4DY, Zero-SWARM, 5GTIMBER, and their visionary partners are transforming manufacturing and process industries through resilient, data-driven, and sustainable solutions.

Register now to dive into the exciting results of these trials and uncover the future of sustainable, digitized production!

WHEN? Wednesday 29th January 2025, 10:30 – 12:00

WHERE? Online at the DFA

Register now HERE!

AGENDA

10:30 Welcome & Introduction
10:40 Zero-Swarm Pilot: Innovative Strategies for Real-Time AMR Fleet Management and Optimization in Intra-Logistics Automation
Gian Pietro Pagliarini, REEPACK
11:00 5GTIMBER Pilot: Digital Twin and timber machine optimization
Marcello Urgo, POLIMI
11:20 RE4DY Pilot: Collaborative ecosystem integrated machine tool performance self-optimisation
Toni Ventura, Innovalia Metrology
11:40 Open Debate - Q&A
11:55 Event Closure

REGISTRATION FORM

    To register for this event email your details to soporte@cbt.es

    Register using webmail: Gmail / AOL / Yahoo / Outlook

     

    Date And Time

    2025-01-29 | 10:30 to
    2025-01-29 | 12:00
     

    Registration End Date

    2025-01-29
     

    Location

    Online event
     

    Event Types

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