The digital transformation is radically changing the market and the nature of work. Future jobs will require a wide and cross-sectorial set of basic, soft and technical skills that current VET systems are not able to provide today. Automotive sector plays a key-role in Europe and this role in growing continuously. Automotive workers must be prepared in facing emerging needs coming from competitiveness. Several reports and studies on Industry 4.0 highlighted that there are many gaps in levels of competences and certification of workers. In the automotive sector the critical point lies in the fact that it is not clear which will be competences required in 3/5 years, which will be job-profiles needed by companies. That could slow down or even block the transformation underlied in Industry 4.0 with relative negative impacts (decreased competitiveness of automotive sector, considerable growth of unemployment). Some attempts in anticipating skill needs have been already carried out. But here the project aims to tackle the problem from a new perspective; The problem that this project aims to face is that information provided are still at a general and undefined level that doesn’t allow to pinpoint detailed and specific training contents. Two simultaneous needs come to light: - To know in details key-soft skills and new jobs needed from companies in order to realise Industry 4.0 changes. - To understand which are the specific needs for an effective re-training of workers to be done in advance respect to real necessity. Specific objects: - To develop and test a method able to clarify and describe in details 4.0 key competences and job-profiles used by companies belonging to clusters involved. - To deternine conscious choices about re-training and career steps for workers involved - To create OERs useful to develop key-competences for workers and strategic for Industry 4.0 transformation of supply chain involved Project target group is 200 qualified workers, vulnerable but “re-trainable” respect to 4.0. They can keep or increase their employability level by expanding their set of skills. The project will be implemented by a strategic partnership involving: - a group of European organisations in charge to manage clusters and network of automotive companies (AIC, NAA, Dekra) led by the applicant IAM - a group of VET providers ((Dekra Akademie, HETEL, KZN Solutions) running in automotive sector - two specialised VET providers (ilmiolavoro e Steinbeis) with expertise on Industry 4.0 implications of competences and human capitals of companies Partnership will be completed with Associated Partners as automotive companies, other VET providers and automotive clusters and important stakeholders like Research Institutes, associations of companies, Trade Unions (CISL and IGM METAL) able to involve automotive other automotive companies and workers. Intellectual Outputs expected: IO1 European Automotive Technology & Skill Foresight 4.0.: it contains description of key-soft competences in Automotive 4.0. IO2 European Automotive 4.0 cross-skills open education resources: it is a set of OERs useful for automotive qualified workers to develop 4.0 cross skills. expected activities are: 1) foresight of key-cross competences in Automotive 4.0 through the use of innovative methodology Technology & Skill Roadmap. 2) development of career guidance and 4.0 OERs tools. 3) test and evaluation of career guidance paths and updating by using 4.0 OERs on online platform. The methodology is based on a system process who draw an evolutive loop. That, moving from Technology & skills 4.0 foresight, help workers and companies in taking 4.0 training decision and in implementing 4.0 re-training actions. The project provides positive impacts first of all on automotive qualified workers who will develop their sustainability/employability according 4.0. Secondly it provides positive impacts for clusters that will be able to realise 4.0 transformation and for VET providers who will increase their ability to promote employability according 4.0 revolution.

The adoption of robots in lower volume, diverse environment is heavily constrained by the high integration and deployment complexity that overshadows the performance benefits of this technology. If robots are to become well accepted across the whole spectra of production industries, real evidence that they can operate in an open, modular and scalable way is needed. ODIN aspires to fill this gap by bringing technology from the latest ground breaking research in the fields of a) collaborating robots and human robot collaborative workplaces b) autonomous robotics and AI based task planning c) mobile robots and reconfigurable tooling, d) Digital Twins and Virtual Commissioning and e) Service Oriented Robotics Integration and Communication Architectures. To strengthen the EU production companies’ trust in utilizing advanced robotics, the vision of ODIN is: “to demonstrate that novel robot-based production systems are not only technically feasible, but also efficient and sustainable for immediate introduction at the shopfloor”. ODIN will achieve this vision through the implementation of Large Scale Pilots consisting of the following components: - Open Component (OC): A small footprint, small scale pilot instance allowing the development, integration and testing of cutting-edge technologies. - Digital Component (DC): A virtual instance of the pilot implementing an accurate Digital Twin representation that allows the commissioning, validation and control of the actual pilot - Industrial Component (IC): A full-scale instance of the pilot, integrating hardware (HW) and software (SW) modules from the Open and Digital components and operating under an actual production environment. - Networked Component (IC): An integration architecture with open interfaces allowing the communication of all robotics HW and control systems through safe and secure means. ODIN will demonstrate its result in 3 Large Scale Pilots in the automotive, white goods and aeronautic sectors.

Maintenance in general and predictive maintenance strategies in particular should now face very significant challenges to deal with the evolution of the equipment, instrumentation and manufacturing processes they should support. Preventive maintenance strategies designed for traditional highly repetitive and stable mass production processes based on predefined components and machine behaviour models are no longer valid and more predictive-prescriptive maintenance strategies are needed. The Z-Break solution comprises the introduction of eight (8) scalable strategies at component, machine and system level targeting (1) the prediction occurrence of failure (Z-PREDICT), (2) the early detection of current or emerging failure (Z-DIAGNOSE), (3) the prevention of failure occurrence, building up, or even propagation in the production system (Z-PREVENT), (4) the estimation of the remaining useful life of assets (Z-ESTIMATE), (5) the management of the aforementioned strategies through event modelling, KPI monitoring and real-time decision support (Z-MANAGE), (6) the replacement, reconfiguration, re-use, retirement, and recycling of components/assets (Z-REMEDIATE), (7) synchronizing remedy actions, production planning and logistics (Z-SYNCHRONISE), (8) preserving the safety, health, and comfort of the workers (Z-SAFETY). Z-Bre4k impact to the European manufacturing industry and the society can be summarised in the following: (i) increase of the in-service efficiency by 24%, (ii) reduced accidents, (iii) increased Verification according to objectives, (iv) 400 new jobs created and (v) over €42M ROI for the consortium. To do that we have brought together a total of seventeen (17) EU-based partners, representing both industry and academia, having ample experience in cutting-edge technologies and active presence in the EU manufacturing.