"ContextTransport is responsible for 27% of EU greenhouse gas emissions. The mobility sector is a crucial driver for the transition to a carbon-neutral future, with particular reference to passenger and freight transport. Transport and mobility services employ 11 million people, but transport generates pollution, accounting for almost a quarter of Europe's greenhouse gas emissions. In this context, electric/hybrid vehicles make it possible to reverse the trend towards reducing CO2 emissions and sustainable transport, and the synergy between VET and automotive companies is a strategic asset.Specific Objectives-design, test and release (OER) of didactic content based on WBL methodology related to skills for the assembly and repair of vehicle electrification technologies / on-board avionics and first intervention proceduresThe resources for teaching will be expendable in I-VET and H-VET for the training of mechatronic operators, autronic technicians and car-repairers and transferable to other training settings, for work-based learning in laboratories or on the job (C-VET).Needs Analysis VET provider: adaptation of programs and teaching methodologies for the work based application of skills both for the assembly and maintenance of electric vehicles and for the design & maintenance of on-board avionics, as an evolution of the paradigm of sustainable mobility with resource saving, reduction of energy consumption and emissions; Business Partners: to favour the alignment of the VET sector to the demand for skills and the access of workers to knowledge/skills related to electric/hybrid engines and their maintenance/intervention, as well as to on-board avionics. Participants1 Coordinator Cisita Parma, expert in situated learning and WBL processes5 VET providers (EQF3-4-5 level) in Italy (Ferrari VET and ITS Maker), Sweden (GTG), The Netherlands (Stichting ROC Midden) and VAVM Lithuania, all specialized in the automotive sector.3 companies from the automotive sector(Volvo Production house in SE), 1 SME focused on car repair (Lituania) & 1 SME with specific know how in consultancy e training on electric/hybrid engines (INNOVAM NL)Target Group VET LEARNERS within INTELLECTUAL OUTPUTS: 20 students*5 Output (IO2-IO3-I04-IO5-IO6) * 5 VET providers, selected among EQF 3, EQF4 (I-VET), EQF 5 (H-VET) or continuous training of workers for professional requalification/upgrading (C-VET); at least 15 VET teachers, 8 company technician and 4 company managers/trainers + 1 APPLICANT researcher within the 4 Innovation Garage/countryMethodologyInnovation Garage methodology applied to the work-based learning environment, for the development of educational programs, to be released in the form of OER, dedicated to the installation and maintenance of technologies for the electrification of vehicles and on-board avionics, as well as the procedures of road intervention and technical assistance. The Innovation Garage is a methodology for the development of innovation related to Design Thinking, and provides for the establishment of a ""start-up"" of product/process innovation / organizational models within the company context as a workplace, but open to the outside and co-designed - in technology, setting up the setting, hierarchical and operational relations, work processes - by VET teachers and trainers, VET students and workers in continuous training.ActivitiesIO1: training programme for teachers, released as OER, for the transfer of the methodology of the Innovation garage located in the work place (WBL), to be tested within the C1 Short Term Joint Training Activity), aimed at the implementation of situated learning programmes, dedicated to electric/hybrid vehicles and their assembly/maintenance, as well as to on-board avionics and assistance and first intervention procedures. IO2: WBL-based OER training program located inside the innovation garage, related to assembly and installation of vehicle electrification technologies; IO3: WBL-based OER training program located inside the innovation garage, related to maintenance/repair of vehicle electrification technologies; IO4: WBL-based OER training program located in the innovation garage relating to the installation/verification of on-board avionics safety requirements; IO5: WBL-based OER training program located in the innovation garage relating to on-board avionics maintenance; IO6: WBL-based OER training program located in the innovation garage relating to customer service and first intervention procedures on the vehicle."

Despite the proclaimed benefits (i.e. scalability, reliability, cost-effectiveness) of Future Internet (FI) technologies (i.e. edge & cloud computing, IoT/CPS) for factory automation, their adoption from manufacturers remains low for various reasons, including technology issues (e.g., poor situation awareness, limited deployments, no standards-based reference implementations) and the lack of a smooth migration path from legacy systems. FAR-EDGE is a joint effort of leading experts in manufacturing, industrial automation and FI technologies towards the smooth and wider adoption of virtualized factory automation solutions based on FI technologies. It will research a novel factory automation platform based on edge computing architectures and IoT/CPS technologies. FAR-EDGE will provide a reference implementation of emerging standards-based solutions for industrial automation (RAMI 4.0, Industrial Internet Consortium reference architecture), along with simulation services for validating automation architectures and production scheduling scenarios. FAR-EDGE will lower the barriers for manufacturers to move towards Industrie 4.0, as a means of facilitating mass-customization and reshoring. Emphasis will be paid in the study of migration options from legacy centralized architectures, to emerging FAR-EDGE based ones. FAR-EDGE will be validated in real-life plants (VOLVO, WHIRLPOOL) in the scope of user-driven scenarios (business-cases) for mass-customization and reshoring, where tangible improvements relating to reliability, productivity increase, quality cost, reduction in adaptation effort/costs will be measured and evaluated. Also, a wide range of migration scenarios will be evaluated in the scope of a CPS manufacturing testbed. FAR-EDGE will also establish a unique ecosystem for FI factory automation solutions, which will bring together the FoF and FI communities (e.g., EFFRA, Industrie 4.0, AIOTI, ARTEMIS JU) and will ensure sustainability of FAR-EDGE results.

EFFRA recommendations on Factories 4.0 and Beyond (Sept 2016) clearly stated the need for development of large scale experimentation and demonstration of data-driven “connected smart” Factories 4.0, to retain European manufacturing competitiveness. BOOST 4.0 will address this need, by demonstrating in a measurable and replicable way, an open standardised and transformative shared data-driven Factory 4.0 model through 10 lighthouse factories. BOOST 4.0 will also demonstrate how European industry can build unique strategies and competitive advantages through big data across all phases of product and process lifecycle (engineering, planning, operation, production and after-market services) building upon the connected smart Factory 4.0 model to meet the Industry 4.0 challenges (lot size one distributed manufacturing, operation of zero defect processes & products, zero break down sustainable operations, agile customer-driven manufacturing value network management and human centred manufacturing). Our chief objectives include: (1) Establish 10 big data lighthouse smart connected factories (VW, FILL, AutoEuropa, +GF+, FIAT, Phillips, Volvo, GESTAMP, Benteler, Whirlpool). (2) Provide the RAMI 4.0 and IDS based BOOST 4.0 open EU framework and governance model, for both services and data assets. (3) Put together methodologies, assets, models and communities in order to maximise visibility, mobilization, replication potential, and impact (business, financial, standardization) of BOOST 4.0 The investment leveraging factor of BOOST 4.0 will be well above the 4:1 ratio, up to 10:1. In terms of exploitation, in 5-years horizon after the project end, just only the participating lighthouse factories will make a direct follow-on investment above 33Meuro (ROI 10,61), while the commercialisation of the BOOST 4.0 products in the market is expected to generate some 96Meuro cumulative profits (ROI 4,73) for the rest of the partners.