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Content archived on 2024-05-29

Data Grids for Process and Product Development using Numerical Simulation and Knowledge Discovery


Development of industrial and large-scale products and services poses complex problems. This complexity is handled by breaking out the functionality or properties of the products so that they can be dealt with in individual disciplines. The processes used to develop these products and services are themselves complex. They typically involve a large number of independent organisational entities at different locations grouped in partnerships and supply chains. Grid is connectivity plus interoperability and is a major contributor to improved collaboration and an enabler of virtual organisations. It has the potential to reduce substantially the complexity of the development process, thereby improving our ability to deal with product complexity. The heart of the issue is data. Applications, and their associated computing power, are central to the product development process. The data they generate (geometric descriptions, performance metrics, etc.) constitute the core intellectual property associated with the product. Grid technology is needed to help us connect diverse data-sources, to enable flexible, secure and sophisticated levels of collaboration and make possible the use of powerful knowledge discovery techniques. The ambitious objectives of SimDat are to accelerate the uptake of existing Grid techniques and architectures ina variety of industries and services, provide standardised solutions for some of the missing capability, and tovalidate the effectiveness of Grid in simplifying processes used for the solution of complex, data-centric problems. The consortium is comprised of leading software and process system developers, Grid technology specialists and representatives from strategic European industrial sectors: automotive, pharmaceutical and aerospace. The outputs will be deployed and validated in these sectors and in service applications, here represented by meteorology.

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Schloss Birlinghoven
54754 Sankt Augustin

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Participants (24)