1. Project
  2. CloudiFacturing

Cloudification of Production Engineering for Predictive Digital Manufacturing

Summary

Information and Communication Technology (ICT) is essential for the digitalization of the manufacturing sector; notwithstanding, less than 25% of the manufacturing companies in Europe profit from ICT-enabled solutions. In order to democratically boost the competitiveness of the European manufacturers (especially Small and Medium-sized Enterprises - SMEs), innovative solutions need to consider technological and commercial scalability from the beginning. From this perspective, the cloudification of services has become the ideal enabler in the manufacturing digitalization. Successful European initiatives such us CloudFlow, cloudSME or Fortissimo have demonstrated the benefits of cloudification for engineering services, by means of combining HPC resources, computational tools, and cloud computing platforms. Manufacturing SMEs are empowered to compute and solve problems that cannot be tackled without cloud and HPC technology, making them more competitive by reducing development times for innovative product with better performance. The results of these initiatives are fostering the engineering and to some extend the prototyping processes within the manufacturing workflow; however, monitoring and optimizing production processes have not yet greatly benefited from an integrated information workflow and simulation loop based on on-line factory data. The core partners of CloudFlow (eu-cloudflow.eu) and cloudSME (cloudsme.eu) are joining forces to leverage factory data with cloud-based engineering tools: a) paving the way toward manufacturing analytics, b) enriching the manufacturing engineering process with on-line data, and c) simulating and optimizing the production process with the vision to support it in real-time. The consolidated platform between CloudFlow and cloudSME with extended capabilities to process factory data is going to be accessed through a central interface, enabling the stakeholders to interact, and collaborate.

More information
Website: https://www.cloudifacturing.eu/
Duration: 42 months
Start date: 01-10-2017
End date: 31-03-2021
Number of participants: 33
Total budget - EC contribution: 9712983 Euro - 9712983 Euro
Call topic: ICT Innovation for Manufacturing SMEs (I4MS) (FoF.2017.12)
Location
Characteristics

Use Case Requirements and Lessons Learned - (No information available)  

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Challenges - (14)  

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  1. Challenges
    1. Manufacturing the products of the future
      1. Complex structures, geometries and scale
        Comment:

        Optimize production processes and producibility  using Cloud/HPC-based modelling and simulation, leveraging online factury data and advanced data analytics, thus contributing to the competitiveness and resource efficiency of manufacturing SMEs.

      2. Resource efficient, sustainable products
        Comment:

        Manufacturing SMEs are empowered to compute and solve problems that cannot be tackled without Cloud and HPC technology, making them more competitive by reducing development times for innovative products with better performance.

    2. Economic sustainability
      1. Addressing economic performance across the supply chain
        Comment:

        More efficient business processes

      2. High performance production, combining flexibility, productivity, precision and zero-defect while remaining energy-efficient
        Comment:

        .

    3. Social sustainability
      1. Safe and attractive workplaces
        Comment:

        Increase in business practice

      2. Care and responsibility for employees and citizens along global supply chains
        Comment:

        Increase in Employment

    4. Environmental sustainability
      1. Reducing the consumption of energy, while increasing the usage of renewable energy
        Comment:

        .

      2. Reducing the consumption of water and other process resources.
        Comment:

        .

      3. Optimising the exploitation of materials in manufacturing processes
        Comment:

        .

Technologies and enablers - (8)  

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  1. Technologies and enablers
    1. Information and communication technologies
      1. ICT solutions for modelling and simulation tools
        Comment:

        CloudiFacturing will extend the field of action of the technology developed in CloudFlow and CloudSME from the product development process to the production process, in order to leverage factory data with analytics algorithms and simulation tools

        1. Modelling and simulation methods of manufacturing processes involving mechanical, energetic, fluidic and chemical phenomena
          Comment:

          .

        2. CAE models interoperability to allow fast and complete complex process of virtual verification
          Comment:

          .

      2. Collaborative and decentralized application architectures and development tools
        Comment:

        .

    2. Standards
      1. ICT standards
        Comment:

        .

Digital mapping framework - (No information available)  

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For some background information about the digital mapping framework, please see here.

Digitalisation pathways - (No information available)  

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Research priorities - (5)  

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  1. Research priorities
    1. Domain 3: Digital, virtual and resource-efficient factories
      1. RP 3.3 Integrated High-performance Computing in Factory Life Cycle Management
        Comment:

        Optimize production processes and producibility using Cloud/HPC-based modelling and simulation, leveraging online factory data and advanced data analytics, thus contributing to the competitiveness and resource efficiency of manufacturing SMEs, ultimately fostering the vision of Factories 4.0 and the circular economy

      2. RP 3.5 Multi-level simulation and analytics for improving production quality and throughput
        Comment:

        Simulating and optimizing producibility and production processes with the vision to support it in real-time.

      3. RP 3.12 Design and management of manufacturing strategies
        Comment:

        Paving the way toward manufacturing analytics and enriching the manufacturing engineering process with on-line data

Diverse - (No information available)  

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Results
Demonstrators
Organisations
Contacts
Andre Stork

Andre Stork
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