WP1: Requirements and DAT4.ZERO reference architecture

WP1 will  define the initial status of the five industrial use cases of the DAT4.ZERO project and describe the hardware and software requirements for the them, in order to define a common ground for identifying and measuring the DAT4.ZERO achievements. This work package will also generalize and standardize the DAT4.ZERO solutions, for maximizing their exploitation. The requirement analysis will be carried out by identifying several key performance indicators (KPI) which will be used as optimization metrics for each use cases.

WP2: Multi-sensor / actuators selection and integration

The overarching objective is to deliver a new way to ensure the adoption of metrology to drive forward future responsive and efficient digital manufacturing. The novelty of the research is in the combination of the latest advances in artificial intelligence with sound physical models of object-sensor interactions and metrological principles, with the addition of a priori information – information-rich metrology (IRM). Information may come from knowledge of the manufacturing process, knowledge of the object to the measured, and/or knowledge of the physical interactions/principles underlying the measurement technology itself. The information could be aggregated by the use of smart data processing – the ability to use a priori information, rigorous modelling and learning from prior measurements to improve future measurement processes and results. The goals of the WP2 are to address digital manufacturing with a particular emphasis on the development of standard IRM tools that can be applied in the pilot lines and in future digital factories.

WP3: Data integration, cyber security and semantic tagging – Digital Quality Management (DQM) platform

Main goal of WP3 is the development of the DQM platform. Data integration, cyber security and semantic tagging will be part of this work package where consolidated requirements and DAT4.ZERO reference architecture will be developed and integrated into the Digital Quality Management platform for validation and implementation into the pilots. The DQM platform will merge data integrity strategies, open protocols and data modelling to support data analytics and knowledge extraction. Moreover, the architecture will be developed to guarantee real time validation and traceability through blockchain solution. Data visualization will enable real time information for users and it will increase data reliability.

WP4: Data fusion and analytics solutions for knowledge extractions, correlation and pattern analysis

The aim of WP4 is to build on the foundation data layer of the DAT4ZERO platform, and develop the toolkit with a modular architecture to support data fusion, process mining and analytics for improved decision making at the shop floor and in engineering. This entails:

• the design and development of a DQM analytics toolkit that will support multiple modules
• the implementation of techniques to enhance the quality of the data streams resulting from the fusion of different data sets
• the discovery of patterns and effective visualisation of the resulting insights to support decision making

The work within WP4 will be based on agile principles, with close collaboration with the industrial pilots.

WP5: Modelling and simulation for rapid line qualification and reconfiguration

WP5 will develop, validate and test product, process and system models to enable elaborating the reliable data extracted by shop-floor and providing capability for knowledge extraction, analysis and control.

Further on WP5 will design and implement specific cyber-physical systems for the feed-forward control of the manufacturing stages in the process-chain in order to proactively manage emerging defects and avoiding the propagation of defects along the manufacturing system to develop data-driven tools for the rapid line qualification and reconfiguration, enabling to learn from historical patterns and re-using this knowledge to reduce system ramp-up times, as well as to support optimal decision making at value-chain level.

The developed models, tools and methods will be validated in view of the industrial implementation and demonstration within the DAT4.ZERO use-cases.

WP6: Validation within Pilot Lines

The objective of this work package is to ensure a smooth integration of the technologies and services, developed in the scope of DAT4.ZERO, in all industrial use cases. Furthermore, it is to reduce the risks for potential shortcomings thus securing successful implementation and verification, then providing the evidence for their functionality and anticipated performance. This work package is not only designed for demonstrating the validity of DAT4.ZERO technological results but also will provide a roadmap, a set of standards and tools for rollout of the results in participants greater area than the pilot use cases, as well as a handbook for transformation of conventional quality management TQM to digitally enhanced quality management DQM in a generic form.

WP7: Community uptake and sustainability, dissemination, exploitation and standardization

The dissemination and commercial exploitation of the innovative project outcomes. The project  will focus on achieving high levels of public awareness by managing external communication with the EU, as well as with both the scientific and industrial community and to ensure the results from the project are available to the general public and professionals in the manufacturing industry and related sectors, as well as delivering a route to exploitation in appropriately related applications. The project will be disseminated through a variety of channels including journal publications, conference proceedings, media articles, trade show and events. All scientific publications will be open access. Where appropriate, project outputs will be deposited in an on-line digital collection accessible via this project website. The project will be active on social media and a DAT4.ZERO newsletter will be issues four times a year.