The ProRegio project aims at developing a manufacturing intelligence based product-service that will rigorously change the current way how customer requirements are addressed by manufacturing companies. The development of this new business approach is based on three major issues, namely (i) design of customer oriented product-services for frugal innovation in a bottom-up development process, (ii) optimization of production systems and networks based on interaction of stakeholders, and (iii) planning and control of production networks and regional production systems to enable ad-hoc re-design. The three goals are enabled by innovative cloud-based product lifecycle management (PLM) solutions integrating production (shop-floor and supplier) as well as customer feedbacks using open IT-platforms and advanced multi-objective optimization methods in comprehensive decision support tools. The application of the proposed methodology in any kind of globally engaging manufacturing company exploits potentials to shorten time-to-market of customized products as well as throughput times in globally distributed production tasks and reduce carbon footprint of global production networks. The integration of the proposed innovative product-service into production networks will increase the attractiveness of European companies by offering new added value services that make their products more attractive (e.g. more individualized products and shorter time to market) to different customers segments especially for emerging regions by offering new frugal products earning a share of sales and by increasing customer satisfaction in terms of providing more power to the customer. In general, ProRegio enables EU companies to export into emerging countries all around the world; in doing so the project will help to stabilize EU’s export growth above 5% until 2020.

The market demands flexible productions lead to complexification of production systems and hence to more articulated Human Machine Interface (HMI). This new features tend to exclude from working environment elderly people who, even if they have a great experience, feel uncomfortable in the interaction with a complex computerized system. Moreover, complex HMI creates a barrier to young inexperienced or disabled people for an effective management of the production lines. To tackle this problems, INCLUSIVE aims to develop a new concept of interaction between the user and the machines in which the behavior of the automation system adapts to human operator capabilities. Hence, INCLUSIVE develops an ecosystem of technological innovations driven by human factors analysis applied to three concrete industrial use cases, carefully chosen to represent a wide range of needs and requests from industry. INCLUSIVE is based on three pillars: • Human capabilities measurement • Adaptation of interfaces to human capabilities. • Teaching and training the unskilled users. Once developed, the new system will be initially tested in lab and then in the use case premises where cognitive load measurement data will be analyzed. 12 months of the project are dedicated to the adoption and use in real conditions of the new tools in the three industrial use cases, in order to demonstrate its validity and improvement reached in working environment. The anonymity of workers will be completed guarantee and the data collected will not be attributable to a specific person. The consortium is formed by eleven partners (six companies and 5 research centres) located in Germany, Greece, Italy, Poland and Turkey, which represent a full product value chain that include: HMI developer (PROGEA), software developer (SOFTFACT) machine developer (KHS, SCM), system integrator (GIZELIS), final user (SILVERLINE) and research centres (UNIMORE, TUM, RWTHA and CIOP), and a technology transfer specialist (ASTER).

The main objectives of this project are to develop a model-based prognostics method integrating the FMECA and PRM approaches for the smart prediction of equipment condition, a novel MDSS tool for smart industries maintenance strategy determination and resource management integrating ERP support, and the introduction of an MSP tool to share information between involved personnel. The proposers' approach is able to improve overall business effectiveness with respect to the following perspectives: • Increasing Availability and then Overall Equipment Effectiveness through increasing of MTBF, and reduction of MTTR and MDT. • Continuously monitoring the criticality of system components by performing/updating the FMECA analysis at first implementation or whenever a variation in the system design or composition occurs. • Building physical-based models of the components which have a higher criticality level or which status is difficult to monitor. • Determining an optimal strategy for the maintenance activities. • Creating a new schedule for the production activities that will optimize the overall system performance through a Smart Scheduling tool ensuring collaboration among the MDSS, the ERP and the RUL Estimation tool. • Providing, in addition to traditional data acquisition and management functions in a machine condition monitoring system, robust and customizable data analysis services by a cloud-based platform. • An Intra Factory Information Service will be developed to allow the company staff to be quickly informed of changes in the machine tool performances and to easily react to eventual production and maintenance activities rescheduling. The production and maintenance schedule of complete production lines and entire plants will run with real-time flexibility in order to perform at the required level of efficiency, optimize resources and plan repair interventions.