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


Data and services have become the key factor in optimising manufacturing processes. The need to react to 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 Integrated Information Management System (IIMS) that enhances 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 along the supply chain, e.g., by providing services to optimise cycle time, cost, flexibility or resource usage. In addition to the supply chain improvements, the processes inside the company can be addressed and optimised. Data across the (multi-sided) company internal value chain is integrated by the IIMS with optimisation and modelling tools for resource management including innovative, multi-level, real-time cross-domain analytics and a Decision Support System. The technology will extend existing FI-WARE, FITMAN and LinkSmart catalogues, in addition to a Building Management System for environmental data gathering. Inter-operability, ease of retrofit and scalability are critical parameters that are taken carefully into account in devising such IIMS. 

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 - (9)  

      1. 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 matching of demand and supply 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 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. Comment: Improvements of the manufacturing process by using Process Modelling and Monitoring Framework combined with Integrated Digital Factories Models will lead to better resource management and will reduce the use of resources. Optimising the process involving factories with recycling companies will generate economic savings. Monitoring the health of machinery and using predictive maintenance and reducing energy consumption will reduce not only manufacturing efficiency (less downtime & material waste) but also the environmental impact of manufacturing.
      1. Comment: The project will focus on the reduction of energy consumption via the detection of excessive consumption and anomalous equipment behavior. The health of equipment will be improved, using machine learning/deep learning algorithms for predicting failures & arranging preventative maintenance. 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.
        1. Comment: The reduction of scraps will be addressed in the sense of attempting to reduce unused material, rather than reducing the number of defective workpieces or rework operations. Furthermore, the project will reduce the amount of scraps by optimising the processes in a way that less material has to be scrapped because certain maximal idle times are not reached.
      2. Comment:

        The COMPOSITION Integrated Information Management System will be a digital automation framework that optimises the manufacturing processes by exploiting existing data, knowledge and tools, integrating them with newly installed cyber physical systems (CPS) and automation software, in order to increase productivity and to allow for dynamic adaptation to changing market requirements. CPS using IoT devices such as wireless sensors nodes (WSN) can be easily retrofitted to existing equipment and infrastructure to gather sensory data and detect anomalies as well as opportunities to improve productivity and cvcle time.

Technologies and enablers - (18)  

      1. Comment: Part of the scrap generated by the manufacturing industry is recyclable. 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.
      1. 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, in order to provide data monitoring, control and notification systems, that help humans in interaction with machines and with the decision making process.
      2. Comment: Continuous monitoring of the condition and performance of specific critical parts (equipment, infrastructure and environment) of the manufacturing system will provide feedback to the real-time brokering and message translations services allowing seamless integration of heterogeneous manufacturing components.
      1. Comment: The Digital Factory Model (DFM) will provide an integrated representation of the intra-factory domain at machine-level, end-user-level, and process-level. The DFM model will be used to exploit data coming from machinery, sensors and production lines and will offer interoperability in communication by providing all these heterogeneous data in a common format. The DFM is re-used in the Decision Support System, in Simulation and in the Deep Learning Toolkit. The integration of information will enable better use of the data available in the physical layer of the factories to be made.
      2. Comment: The COMPOSITION Integrated Information Management System will be a 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 authorised COMPOSITION stakeholders.
        1. Comment: The COMPOSITION ecosystem will include Simulation and Forecasting Tools, the main purpose of which will be to simulate processes and provide forecasts of events whose actuals outcomes have not yet been observed. The simulation engine will forecast possible malfunctions, delays in production processes and machine failures using both historical and real data and will feed the Decision Support System which will offer to users, suggestions and solutions for the upcoming failures.
      3. Comment: The COMPOSITION project will address the issue of extended enterprises allowing the interaction and collaboration of all stakeholders in the COMPOSITION Marketplace as every business entity will be represented by agents at the ecosystem. Some of information from companies’ IIMS will be reflected at the ecosystem in a Collaborative Manufacturing Services Ontology which will be used as a central knowledge base. The Matchmaker will infer knew knowledge from the knowledge base by applying both syntactic and semantic matching in terms of manufacturing capabilities, in order to find the best possible supplier to fulfil a request. Different criteria for selection according to several qualitative and quantitative factors will be considered.
      1. 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.
      1. Comment: The COMPOSITION project contains a Digital Factory Model Component which offers representation of factory processes and resources in a common format based on well-known standards. Moreover a Simulation and Forecasting Toolkit analyses the production processes and required resources in an integrated way and extracts forecasts for possible failures. Also forecasting is provided in supply chain and logistics, especially in fill level monitoring of bins and boosts the waste management and recycling processes. Sustainable manufacturing will be assisted by a Decision Support System. The Marketplace will enable dynamic integration with actors in the supply chain.
      1. Comment: Open standards will be favoured and special consideration will be taken to the ones already supported by stakeholder products. The COMPOSITION project will constantly keep an eye on emerging standards for IoT interoperability (e.g. OGC Sensor Things API), which are for sure a key enabler for the IIMS framework. In general, platform will be compatible with many already existing standards so that new starndard-compatible plants can be easily added.

Digitisation Personas - (No information available)  

Diverse - (2)  

    1. Comment: Cooperation with other FoF and especially FoF-11 projects. Interactions with EFFRA, as three partners are members of the association. Partners are members of various clusters and promote advances in the project to them. COMPOSITION is 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”.