Ecosystem for Collaborative Manufacturing Processes _ Intra- and Interfactory Integration and Automation

Data and services have become the key factor in manufacturing processes. The need to react on dynamically changing market demands is dramatically rising. One of the most imperative problems so far is to connect supply chain data and services between enterprises and to connect value chain data within a factory, so that it can meaningfully support decision-making. COMPOSITION will create a digital automation framework (the COMPOSITION IIMS) that optimizes the manufacturing processes by exploiting existing data, knowledge and tools to increase productivity and dynamically adapt to changing market requirements. This technology acts as the technical operating system for business connections between factories and their suppliers. Furthermore, it opens a new space for third party entities to actively interact in the supply chain, e.g., by providing services to improve cycle time, cost, flexibility or resource usage. In addition to the supply chain improvements, also the processes inside the company will be addressed and optimized. Data across the (multi sided) company internal value chain is integrated by an Integrated Information Management System (IIMS) with optimisation and modelling tools for resource management including innovative, multi-level, real-time cross-domain analytics including a Decision Support System. The technology will be based on extending existing FI-WARE and FITMAN catalogues and LINKSmart
More information
Duration: 36 months
Start date: 01-09-2016
End date: 31-08-2019
Number of participants: 12
Total budget - EC contribution: 7634254 Euro - 7634254 Euro
Call topic: Digital automation - Collaborative manufacturing and logistics (FoF.2016.11-i)
Instrument: Collaborative project (generic)

Challenges - (8)  

  1. Economic sustainability

    1. Addressing economic performance across the supply chain

      Comment: Using the COMPOSITION platform, companies will be able to enter a supply chain and broaden their clientele, thus improving their economic performance. the Composition Marketplace will facilitate demand and supply matching across the supply chain. Buyers and sellers will have close to perfect knowledge of offers, with searchable, low latency access to information. Agent technology and automated matching of requests and offers lowers transaction costs. By providing a common interface for entering the marketplace, the platform also lowers the barriers of entry. In economics terms, these are all prerequisites for competitive market (from which everyone benefits).
    2. Resource efficiency in manufacturing, including addressing the end-of-life of products.

      Comment: Improvement of manufacturing process by using the Process Modelling and Monitoring Framework combined with Integrated Digital Factories Models will lead to use of less resources. Optimising the process involving factories with recycling companies will generate economic savings. Monitoring the health of machinery, working on a predictive maintenance mode and reducing energy consumption will reduce the environmental impact of manufacturing.
  2. Environmental sustainability

    1. Reducing the consumption of energy, while increasing the usage of renewable energy

      Comment: The project will focus on the reduction of energy consumption via the detection of excessive consumption. The health of equipment will be improved, using machine learning/deep learning algorithms for predicting failures. It will be possible to monetise the results into suggestions for actions at specific processes. The possibility of letting the Marketplace matchmaker take externalities into account when rating offers and partners by providing it with information on e.g. environmental performance of marketplace actors, is being examined.
    2. Optimising the exploitation of materials in manufacturing processes

      1. Reduction of scraps (defective workpieces) and reworks

        Comment: The reduction of scraps will be addressed in the sense of attempting to reduce the unused material, rather than reducing defective workpieces or reworks.
        Furthermore, the project will reduce the amount of scraps by optimizing the processes in a way that less material has to be scrapped because certain maximal idle times are not reached.
    3. Co-evolution of products-processes-production systems

      Comment: The COMPOSITION Integrated Information Management System (IIMS) will be a digital automation framework that optimizes the manufacturing processes by exploiting existing data, knowledge and tools to increase productivity and to allow for dynamic adaptation to changing market requirements.

Technologies and enablers - (17)  

  1. Advanced manufacturing processes

    1. Recycling processes

      Comment: The manufacturing industries have as left overs of their processes different kinds of recyclable material. The recycling companies need to stay connected with the industries and to plan for the further reselling and/or disposal of the material. Composition will connect the dots in the inter-factory pilot.
  2. Mechatronics for advanced manufacturing systems

    1. Advanced machine interaction with humans

      Comment: Decision makers are not at their desk the whole day. In order to reduce the probability that they miss important information, the project investigates user interface solutions for the shop floor and everywhere else in the factory.
    2. Condition and performance monitoring

      Comment: Continuous monitoring of the condition and performance of specific critical parts of the manufacturing system will provide feedback to the real-time brokering and message translations services allowing seamless integration of heterogeneous manufacturing components.
  3. Information and communication technologies

    1. IoT - ICT solutions for factory floor and physical world inclusion

      Comment: The Digital Factory Model (DFM) will provide an integrated representation of the intra-factory domain on machine-level, end-user-level, and process-level. The DFM model will be used to exploit data coming from machinery and production lines. The DFM is re-used in Decision Support System, Simulation and the Deep Learning Toolkit. The integration of information will allow to make better use of the data available in the physical layer of the factories.
    2. ICT solutions for implementing secure, high performance and open services platforms

      Comment: The Composition Integrated Information Management System (IIMS) will be the collaborative ecosystem where all members of a manufacturing supply chain can connect in a secure environment. The Security Framework will implement the security core mechanisms aiming to ensure the security, confidentiality, integrity and availability of the managed information for all authorized Composition stakeholders.
    3. ICT solutions for modelling and simulation tools

      1. Modelling and simulation of production process constraints influencing the characteristics and performances of the materials.

        Comment: The Composition ecosystem will include the Simulation and Forecasting Tool. Its main purpose will be to simulate processes models and to provide forecast of events whose actuals outcomes have not yet been observed.
    4. Collaborative and decentralized application architectures and development tools

      Comment: The Composition project will address the issue of extended enterprises allowing the interaction and collaboration of all stakeholders. The Matchmaker will support both syntactic and semantic matching in terms of manufacturing capabilities, in order to find the best possible supplier to fulfill a request. Different criteria for selection according to several qualitative and quantitative factors will be considered.
  4. Manufacturing strategies

    1. Innovation

      Comment: Composition defines innovations at factory performance level, but also at business model level. Collaboration among multi-disciplinary companies will be possible in the ecosystem.
  5. Modelling, simulation and forecasting

    1. Modelling and simulation for the (co-)design and management of integrated product-process-production systems

      Comment: The Composition project contains a Digital Factory Model Component and a Simulation and Forecasting Toolkit to analyse the production processes and required resources in an integrated way. Sustainable manufacturing will be assisted by a Decision Support System. The Marketplace will enable dynamic integration with actors in the supply chain.
  6. Standards

    1. ICT standards

      Comment: Open standards will be favoured and special consideration will be taken to the ones already supported by stakeholder products.

Applications - (5)  

  1. Manufacturing

    1. Manufacture of computer, electronic and optical products

    2. Manufacture of machinery and equipment n.e.c.

  2. Water supply; sewerage; waste managment and remediation activities

  3. Transporting and storage

Research priorities - (19)  

  1. Domain 2: Adaptive and smart manufacturing systems

    1. Sub-Domain 2.2 Dynamic Production systems and Factories

      1. RP 2.10 Adaptive Process Automation and Control for a sensing shop floor

      2. RP 2.11 Dynamic Manufacturing Execution Environments for their Smarter Integration into dynamic and agile factories

      3. RP 2.12 Monitoring, Perception & Awareness on Manufacturing

      4. RP 2.14 Intuitive interfaces, mobility and rich user experience at the shop floor

  2. Domain 3: Digital, virtual and resource-efficient factories

    1. RP 3.1 Integrated factory models for evolvable manufacturing systems

    2. RP 3.2 Intelligent maintenance systems for increased reliability of production systems

    3. RP 3.4 Energy monitoring and management in future manufacturing enterprises

    4. RP 3.5 Multi-level simulation and analytics for improving production quality and throughput

  3. Domain 4: Collaborative and mobile enterprises

    1. RP 4.1 Cloud-based Manufacturing Business Web for Supply Network Collaboration

    2. RP 4.4 Connected objects for assets and enterprises in the supply networks

    3. RP 4.6 Collaborative Demand and Supply Planning, Traceability, and Execution

  4. Domain 5: Human-centric manufacturing

    1. RP 5.4 New ways of interaction and collaboration between workers and other resources in manufacturing systems

    2. RP 5.8 Enhanced Visualisation of complex Manufacturing and Production data

    3. RP 5.9 Linking organisational knowledge in connected enterprises

Diverse - (1)  

  1. Clustering

    Comment: Cooperation with other FoF and especially FoF-11 projects. Interactions with EFFRA, as 3 partners are members of the association. Partners are members in various clusters and promote advancements of the project to them. COMPOSITION are participating in the FOF-11 workgroups “WG DA – 02 - Blockchain / Security” and “WG DA – 04 - Data analytics”. Finally, COMPOSITION is leading the workgroup “WG DA – 07 – Marketplace”.