The i4Q Project aims to provide a complete solution consisting of an IoT-based Reliable Industrial Data Services (RIDS), a complete suite composed of 22 i4Q Solutions, able to manage the huge amount of industrial data coming from cheap cost-effective, smart, and small size interconnected factory devices for supporting manufacturing online monitoring and control. The i4Q Framework will guarantee data reliability with functions grouped into five basic capabilities around the data cycle: sensing, communication, computing infrastructure, storage, and analysis and optimization. The i4Q RIDS will include simulation and optimization tools for manufacturing line continuous process qualification, quality diagnosis, reconfiguration and certification for ensuring high manufacturing efficiency, leading to an integrated approach to Zero Defect Manufacturing.
Work package WP1, and more specifically the deliverable D1.1 aims at defining a consensual project vision, establishing the state of art in terms of technologies for quality in manufacturing, as well as regulation and trustworthy system for data management and setting the specifications driving the creation of the i4Q Solutions and Key Performance Indicators (KPIs). Task T1.1 will provide a balanced guide document as a deliverable (D1.1), the ‘Project Vision Guide’, which will act as a reference for the project and will be used by all partners to stay focused on the main ideas and goals of the project. The document will also be used internally to keep the performed tasks in synchronisation with the overall idea of the project. It may also be used by the partners as a source for documents, deliverables and presentations to third parties to get an early overview of the project. In addition, this document will include an initial risk table, upgraded from the DoA, which itemises general inherent risks of innovation activities.
