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.
|Total budget - Public funding:||7 634 254,00 Euro - 7 634 254,00 Euro|
Original descriptionData 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® Middleware and adapt the concept of Industrial Data Space. COMPOSITION will implement, demonstrate and validate the system in two multi-sided pilots that show the modularity, scalability and re-configurability of the platform across multiple application domains. The first pilot in the biomedical device domain focuses on the integrated information management system in a multi-sided manufacturing process. The second pilot concentrates on the interaction between different companies using the COMPOSITION ecosystem with the agent-based marketplace for collaboration.
1. Early design decisions on deployment and communication protocols were made. (Docker, MQTT, AMQP). Deciding on the deployment and communication platforms has made test deployment and integration work easier to manage.
2. Inception design (from the DoA) did not specify some components, e.g., for operational management or configuration. The architecture needed additional components to cover system configuration and monitoring.
3. Blockchain is still not a plug-and-play technology and requires a substantial amount of low-level configuration.
4. The Matchmaker should match agents (requester and suppliers). Moreover, the Matchmaker should match a request with the best available offer.
5. Use cases need to be solidly anchored in the real world of the actors and end users. They must not solely represent what is feasible from a technical point of view, but also reflect non-functional requirements such as regulations and business practices. Otherwise, the business cases would become unsustainable for further exploitation.
1. The COMPOSITION Marketplace Management System shall enable stakeholder to gain access to the COMPOSITION open marketplace.
2. COMPOSITION Marketplace(s) should have possibility of restricted access.
3. The line visualization shall compare the actual processed units to the target ones.
4. Alarms/Notifications are forwarded to subscribers depending on their impact level.
5. It must be possible to reset an alert when the necessary measures have been taken.
6. Ecosystem components should be deployed as Docker images.
7. Agents shall be writable in any programming language.
8. The Decision Support System shall import data coming from the simulation and prediction engines.
9. Supplying companies register their products/services in specific topic(s) within the ecosystem.
10. The needs and requirements of companies shall be registered/published within the ecosystem.
The concept of the autonomous factories is approached in the intrafactory part of the project with connections between different links of the value chain. Agent marketplace and automated bidding process which enable automated negotiation and transaction.
A part of information at shopfloor level may be fed to a MOM via a texteditor for the final user.
Implemented at both central pilots.
Implemented at both central pilots.
Implemented at both central pilots.
IoT enabled connectivity with intrafactory systems.
The concept of the hyperconnected factories is approached in the interfactory part of the project with connections between different links of the supply chain, using an agent-based marketplace.
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.
Human-machine interaction is put in the center, supporting the decision making process.
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.
Requirements of modern production processes stress the need for greater agility and flexibility, for faster production cycles, increased productivity, less waste and more sustainable production. Human-machine interaction is put in the center, supporting the decision making process.
Investigation of advanced HMIs for direct interaction with real-world objects. Consideration of mobile user interfaces that allow accessing crucial immediate information everywhere in the factory. Consideration will also be given to data gathering from ultra low power IoT devices such as wireless sensors where data can then be aggregated and visualised at an appropriate HMI interface. Where possible provision for self-powering these IoT devices using energy harvesting will be taken into account in order to avoid battery replacement. Flexible and dynamic data-driven solutions that can be adapted to different environments and needs.
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.
The project contributes to the Industrial Ontology Foundry with a Supply Chain use case (CERTH/ITI) and a Predictive Maintenance (ATL) use case. Members of the consortium are participating in the WG-Maintenance.
Partner TNI-UCC is also contributing to standardisation activities.
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 SensorThings 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.
Security by design approach. Development of a Security Framework composed by a core set of security mechanisms to guarantee the security, confidentiality, integrity and availability of the managed information for all authorised stakeholders in the supply chain while at the same time maintaining suitable levels of IPR and knowledge protection. The COMPOSITION Security Framework iapplies blockchain technology to provide an audit trail for manufacturing and supply chain data, enabling both product data traceability and secure access for stakeholders. Cybersecurity mechanisms will be developed to monitor and protect against potential threats that could affect the COMPOSITION infrastructure.
1) Security Information & Event Management API, 2) BPMN standard as part of the Integrated Digital Factory Model, 3) RabbitMQ implementation, 4) OGC sensor things compliant API through Integrated Digital Factory Metadata Model, 5) Part of the Integrated Digital Factory Model
Viable business framework for deploying the platform embedded in a multistakeholder ecosystem considering IPR, ownership and protection of data.