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.

A lack of trained personnel to support the transformation of European enterprises from 4.0 (focused on digitalization and technologies) to 5.0 (Green, Resilient, Human-centered) organizations has been widely reported. CoDEMO aims to fill this gap by developing a new training offer in co-creation with institutional, academic, and socio-economic partners.The main objectives of CoDEMO are:1) To boost socio-economic collaborations on 5.0 innovations by creating 6 national networks and physical/virtual infrastructures for 5.0 value co-creation projects and the production of 24 case studies.2) To create a unique European Open Badge Certification for ‘Decision-Makers for 5.0 Organizations’ (Delivery curricula in 6 countries, with 480 decision-makers certificated including vocational trainees and academic students).3) To create a long-term, open & active international community on 5.0 value co-creation (over 600 members, with 15 national/international outreach events), supported by an innovative e-platform including knowledge, skills and competence recognition.4) To foster higher professionalization by implementing a cutting-edge learning method with face-to-face and blended learning, as well as practical learning situations that catalyze the in-practice emergence of skills and competences.CoDEMO covers 3 European areas (South, Center and East) and 3 economic sectors (Healthcare, Agri-food & Industry). The use of European educational tools (Open Badges, Micro-credentials, ESG, EQAVET, EQF) maximizes its impact. Besides academic students and vocational trainees, CoDEMO enhances innovation skills of teachers, teaching organisms (VET/HEI) and socio-economic actors.By boosting innovation and modernizing education in value co-creation for 5.0 organizations, CoDEMO contributes to the Alliances for Innovation objectives, reinforce the European Education Area and support the Agenda 2030 Sustainable Development Goals (n. 4,8,9,12,16,17) and Europe Recovery Plan.

<< Background >>DigiFoF consortium is made of: 5 HEIs, 3 training institutions, 3 large enterprises, 4 multiplier organizations & 2 associated partners. The focus was placed on selecting professionals with excellent academic research skills that have extensive experience both on national & international level.Based on OMiLAB4FoF we set an innovation laboratory for digital services in each HEI. The innovation within OMiLABs refers to engineering of new domain-specific modelling methods for Factory of the Future<< Objectives >>This DigiFoF project objective was to create an organizational platform where HEIs, enterprises, and training institutions come together to develop skill profiles, trainings and teaching concepts as well as materials for different FoF-design aspects. The platform is completed by laboratories equipped with a variety of open source tools, which provide educational and experimental environments, where aspects of the FoF can be taught practically and experimented by the employees of the companies.<< Implementation >>Create & use a digital library with different learning materials: case studies, lectures, tutorials, tools & webinarsEnsuring exchanges between academia&industry by lecturing, tutorials & experiments for students in order to apply the scientific results on real-world problems4 HEI set up physical modelling laboratories and 1 HEI a virtual one targeting FoF aspectsDevelop a new modelling method&software tool that integrates FoF characteristicsCreate 30 teaching materials&teacher’s netwowork<< Results >>Implementation of 4 physical & one virtual OMiLAB laboratories in Romania, Italy, France, Poland&Finland equipped with FoF tools&functionalities for ICT-based learningAll results obtained within the DigiFoF projecta are available on the project`s website, at the follwing link: https://www.digifof.eu/results and on Erasmus Plus Results Platform at the following link: https://ec.europa.eu/programmes/erasmus-plus/projects/eplus-project-details/#project/601089-EPP-1-2018-1-RO-EPPKA2-KA