We provide a decision support system that (a) integrates digital twins to optimize the overall production process according multiple parameters, and (b) democratizes decision making granting human worker and machines a say during decision making. Each individual demand is consolidated to achieve a decision support, which is then optimized. We combine (a) model-based approaches to transparently design, simulate and improve decision making, (b) co-creation laboratory using models and physical experiments as communication media to all actors and, (c) reliability indication of data and AI algorithms. Those models can be assessed according legal, ethical, security and safety concerns and in case of approval ensure that only compliant models are used for decision making. Hybrid decision making is provided by combining human- and machine-centric knowledge representation into a holistic model. Simulations on time, cost, quality, safety or energy efficiency contribute to transparent decision making, which evolves via model changes. BOC provides graphical modelling enabling intuitive knowledge representations for humans. JOTNE provides data repositories for machines. JR provides data marketplaces and optimizations. MORE enable decentralized decision making with AI. RWTH provides both (a) AI and intuitive machine interaction and (b) social and ethical guidance for trustful decision making. The use cases of the car manufacturer CRF and the robot plant provider FLEX are challenged by human and machine interaction, complex environment interactions and influence factors requiring continuous re-arrangements. The challenge is to consider each actors needs in a concise and complex situation still targeting an overall optimization. The non-profit organization OMiLAB provides its world-wide network on modelling omilab.org, and interacts with DIH, PPP on AI, Data and Robotics and contribute with corresponding CSA as part of their mission.

COGITO aims to speed up the digitalisation for lean construction as a steppingstone to achieve the industrialisation of the construction sector (“construction 4.0”). The COGITO solution comprises: i) an interoperable Digital Twin platform for semantic/ pragmatic alignment with services; ii) Reality capture tools will collect real-time data about the actual state and progress/evolution of the construction site; iii) Multi-source Data Stream Pre-Processing services will manage and semantically annotate big data streams to analyse complex data (e.g. drones, satellite images) to retrieve the necessary information about the actual status of the construction site and resources/ workers involved; iv) adaptive Workflow Management for visual progress monitoring of the construction site and optimal flow of information to relevant stakeholders; v) the Health & Safety service will analyse the nD BIM to pinpoint hazards and perform real-time alerting to prevent accidents based on live data from the site; vi) the Geometric and Visual Quality Control service will perform automated quality control checks through comparisons of as-is to as-designed BIM elements for verification of structure conditions and detection of geometric and visual defects; vii) the Digital Twin GUI will render the site 3D model – including static (as-designed BIM), quasi-static (as-built BIM) and dynamic information (e.g. asset, machinery, people locations); and viii) Workers On-site Guidance Applications will issue alerts to crews on site with information contextually relevant to their allocated tasks. The COGITO tool-box will be demonstrated in one lab facility in Austria and two real construction sites in Spain and Germany to showcase its value and collect feedback for improvement from the field. Beyond technical activities, standardization activities will be carried out by two COGITO partners with strong links to the most important international standardisation bodies in this domain.

The main ambition of Change2Twin is to ensure that 100% of manufacturing companies in Europe have access to 100% of technologies needed to deploy a digital twin. Change2Twin will adopt the best practices developed so far in I4Ms – focus on local support provided by DIHs, keeping FSTP grants as accessible as posThe main ambition of Change2Twin is to ensure that 100% of manufacturing companies in Europe have access to 100% of technologies needed to deploy a digital twin. Specifically, we will focus on three sub-objectives: - Developing and providing a truly end-to-end service to the manufacturing SMEs where the end user receives from its local, trusted party (e.g. a DIH) a thorough analysis of the digitalization potential and a cross-border, multi-stakeholder (involving both components providers and an integrator), and ready-to-use recipe for implementation. - Providing an architecture-agnostic technology marketplace with dedicated knowledge models supporting the entity preparing the recipe for a complete solution in selecting the best components and most suitable providers. - Taking one step back to see the bigger picture and to find the minimal interoperable model facilitating modularity, composability and interchangeability of components used, regardless of the individual architectures or frameworks. Change2Twin will deliver: - A new benchmarked service model facilitating DIHs in providing support to manufacturing companies - A Pan-European marketplace populated with the state-of-the-art service providers that create coverage for end-to-end Digital Twinning solutions - A growing network of DIHs that have adopted the service model and marketplace based on a sustainable business model - An open, widely available toolbox for establishing a new marketplace consisting of software and body of knowledge gathered during the project - 4 Pilots proving the concept and 2 Open Calls for application experiments with a selection and support programme 

Building Information Modelling is a critical element in the digitalization of the construction industry, which is necessary in order to unleash huge efficiency and productivity improvements. BIMERR will design and develop a Renovation 4.0 toolkit which will comprise tools to support renovation stakeholders throughout the renovation process of existing buildings, from project conception to delivery. It comprises tools for the automated creation of enhanced building information models, a renovation decision support system to aid the designer in exploring available renovation options through an the accurate estimation of renovation impact on building performance as well as a process management tool that will optimize the design and on-site construction process toward optimal coordination and minimization of renovation time and cost. At the heart of the BIMERR toolkit lies an interoperability framework, which will enforce semantic interoperability among BIMERR tools as well as with third-party legacy ICT tools to enable seamless BIM creation and information exchange among AEC stakeholders in an effort to enhance the rapid adoption of BIM in renovation of the existing EU building stock. The BIMERR toolkit will be validated and demonstrated in 4 buildings in 3 European Member States. Two buildings will be used for pre-validation and implementation refinement and the refined BIMERR toolkit will support the actual renovation design and works in one residential building in Poland and a second one in Spain. The assessment and evaluation of the BIMERR toolkit after these real-life activities will feed material into two supporting horizontal project activities: i) dissemination and exploitation of project outcomes through the creation of best practice examples of BIMERR use that will guide further replication effort, and ii) promotion of BIMERR outcome to the most relevant standardization bodies.

MODAPTO envisions flexible industrial systems composed of modules enhanced by distributed intelligence via interoperable Digital Twins (DTs) based on industrial standards. Moreover, it materializes enables collective intelligence within modular production schemes for effective module and production line design, reconfiguration and decision support. Motivated by the six principles of Reconfigurable Manufacturing Systems, MODAPTO aims at materializing reconfigurability through the joint use of all principles and not by considering it as an isolated vision of each one. To that end, MODAPTO focuses on two technological pillars: 1. Distributed Intelligence & Control via Interoperable Digital Twins 2. Modular Production Framework & Toolkit Within MODAPTO, each production module is augmented by a DT offering additional distributed intelligence functionalities. MODAPTO standardizes the module’s interface via AAS to enable coordination with other modules and systems. MODAPTO also proposes a framework for production design and reconfiguration supported by collective intelligence tools. MODAPTO will be implemented in 3 industrial UCs involving 4 manufacturers at 3 different levels to showcase its versatility and applicability. UC1 targets the development of production modules (robots) with novel sustainability capabilities, while UC2 production reconfiguration and optimization even for single lots. UC3 targets the timely set up of press shop lines and coordination with robots and AGVs to handle supply chain disruptions in collaboration with the producer of semi-finished product kits. MODAPTO aims at substantial KPI improvements related to efficiency, cost, quality, energy and sustainability. Moreover, MODAPTO will develop business models facilitating its transferability to other sectors and the adoption of its industrial strategies, especially by SMEs, while supporting knowledge transfer via workforce and trainers’ training activities.