The objective is to provide a novel methodology and a comprehensive ICT solution for collaborative design of product-services (Meta Products) and their production processes. The effective extension of products with new services in different sectors (automotive, home appliances, automation equipment etc.) will be achieved by means of Ambient Intelligence (AmI) technology, Lean and Eco-design principles and applying Life Cycle Assessment techniques. New Meta Products, using AmI, will be capable of acquiring knowledge in order to add highly personalized innovative functions, and thus enabling new business models. A Cloud Manufacturing approach will be applied for effective collaborative design of product-services and their production processes, and the effective implementation of innovative services. It will involve all the actors of a value chain, within a product ecosystem, allowing manufacturers to strengthen their competitiveness at the global market. As a result new eco-innovative Meta Products will be offered, which integrate highly personalised innovative functions with minimal environmental footprint along the overall Life Cycle. The Meta Product/process development platform will be provided, including a set of new engineering tools to support collaborative work (simulation, configuration etc.) on new product-services, enhancing existing tools for product/process design. The project will be driven by 4 industrial application scenarios addressing different aspects of service and business building as well as product/process development (complex internal and external supply chains), in order to assure that the means for collaborative service generation and product-service and production process design to be developed in the project will be relevant for industry. The solution will be first applied at 5 manufacturers in the consortium, serving as demonstrators of the project results.
Within the ProSEco project ATB will lead the work package on AmI based & context sensitive product-services and the tasks on dissemination and business case analysis and requirements collection.
The project consortium consists of 14 partners from eight countries (Germany, Spain, Italy, Portugal, the United Kingdom, Finland, Poland and Romania).