Decentralised architectures for optimised operations via virtualised processes and manufacturing ecosystem collaboration

Summary

Industry 4.0 is the next developmental stage in the organisation of the manufacturing value chain. ICT-based systems will play a major role, mainly by creating a virtual copy of the physical world and facilitating decentralised structures through Cyber-Physical Systems (CPS). Over the IoT, CPS cooperate with each other and humans in real-time. Via the Internet-of-Services, internal and cross-organisational services are utilised by participants of the value chain.

DISRUPT aims to spearhead the transition to the next-generation manufacturing by facilitating the vision of a Smart Factory . The new era of manufacturing asks for flexible factories that can be quickly reprogrammed to provide faster time-to-market responding to global consumer demand, address mass-customisation needs and bring life to innovative products. The traditional automation pyramid seems unable to accommodate this transformation.

Our concept is to DISRUPT that pyramid by utilising the capabilities offered by modern ICT to facilitate (i) in-depth (self-)monitoring of machines and processes, (ii) decision support and decentralised (self-)adjustment of production, (iii) effective collaboration of the different IoT-connected machines with tools, services and actors (iv) seamless communication of information and decisions from and to the plant floor and (v) efficient interaction with value chain partners.

Within DISRUPT, each element of production is controlled via the IoT by its virtual counterpart. The data collected is analysed to detect complex events that trigger automated actions. DISRUPT offers a set of decision support tools based on three core modules (modelling, simulation and optimisation) and a secure and flexible plug-n-play platform that will allow engineers from different disciplines to collaborate in developing services. It will be cloud-based to accommodate the anticipated high data volume and computational needs, while offering accessibility via any device anywhere in the world.

More information
Website: http://www.disrupt-project.eu
Duration: 36 months
Start date: 01-09-2016
End date: 31-08-2019
Number of participants: 9
Total budget - EC contribution: 3468313 Euro - 3468313 Euro
Call topic: Digital Automation - Novel architectures for factory automation based on CPS and IoT (FoF.2016.11-ii)
Instrument: Collaborative project (generic)
Characteristics

Challenges - (7)  

  1. Manufacturing the products of the future

    1. Resource efficient, sustainable products

  2. Economic sustainability

    1. Realising reconfigurable, adaptive and evolving factories capable of small scale production

  3. Environmental sustainability

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

    2. Optimising the exploitation of materials in manufacturing processes

Technologies and enablers - (6)  

  1. Information and communication technologies

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

    2. ICT solutions for modelling and simulation tools

    3. Collaborative and decentralized application architectures and development tools

  2. Modelling, simulation and forecasting

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

Applications - (No information available)  

Research priorities - (13)  

  1. Domain 1: Advanced manufacturing processes

    1. Sub-Domain 1.3: Business models and strategies for disruptive manufacturing processes

      1. RP 1.12 Novel supply chain approaches for innovative products

  2. Domain 2: Adaptive and smart manufacturing systems

    1. Sub-Domain 2.2 Dynamic Production systems and Factories

      1. RP 2.12 Monitoring, Perception & Awareness on Manufacturing

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

    1. RP 3.1 Integrated factory models for evolvable manufacturing systems

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

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

  4. Domain 4: Collaborative and mobile enterprises

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

    2. RP 4.5 Complex Event Processing (CEP) for state detection and analytics in supply networks

Diverse - (No information available)