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Zawartość zarchiwizowana w dniu 2024-06-18

Integrated management of product heterogeneous data

Opis projektu


Intelligent information management
iProd aims to improve the efficiency and quality of the Product Development Process of innovative products by developing a flexible, service oriented, customer driven software framework

Data and knowledge management technologies are of strategic importance for industrial innovation, provided they are integrated in the company processes, in the organisational structure, and can be flexibly adapted to company evolution. In particular the Product Development Process (PDP) of manufacturing companies, requires the efficient management of huge amounts of data from different sources and their integration in the subprocesses that compose the product chain. The efficient use of information lifecycle, by the large adoption of virtual testing and by the inter-functional management of related data in the product management would become a strategic advantage for the innovation race. Present ICT solutions separately address parts of product development, but an integrated approach that includes data and services required for the whole Product Development Process does not yet exist.

iProd will improve the efficiency and quality of the Product Development Process developing a flexible, service oriented, customer driven software framework that will be the backbone of computer systems associated with current and new development processes.

To achieve these goals, iProd will rely on knowledge management (KM), knowledge based engineering (KBE) and process integration and automation technologies. iProd will assume the challenge of complexity, semantic diversity and richness of content establishing semantically rich, open and transparent methodologies that will enable knowledge workers from aerospace, automotive and home appliances industries to manage product and process complexity, managing higher value information like functional specifications, requirements, decision rationale and engineering and business knowledge in general. This knowledge base along with a reasoning engine will support information sharing, collaboration across companies, common understanding of PDP among different industries and will promote efficient decision taking.

Data and knowledge management technologies are of strategic importance for industrial innovation, provided they are integrated in the company processes, in the organisational structure, and can be flexibly adapted to company evolution. In particular the Product Development Process (PDP) of manufacturing companies, requires the efficient management of huge amounts of data from different sources and their integration in the subprocesses that compose the product chain. The efficient use of information lifecycle, by the large adoption of virtual testing and by the inter-functional management of related data in the product management would become a strategic advantage for the innovation race. Present ICT solutions separately address parts of product development, but an integrated approach that includes data and services required for the whole Product Development Process does not yet exist.iProd will improve the efficiency and quality of the Product Development Process developing a flexible, service oriented, customer driven software framework that will be the backbone of computer systems associated with current and new development processes. To achieve these goals, iProd will rely on knowledge management (KM), knowledge based engineering (KBE) and process integration and automation technologies.iProd will assume the challenge of complexity, semantic diversity and richness of content establishing semantically rich, open and transparent methodologies that will enable knowledge workers from aerospace, automotive and home appliances industries to manage product and process complexity, managing higher value information like functional specifications, requirements, decision rationale and engineering and business knowledge in general. This knowledge base along with a reasoning engine will support information sharing, collaboration across companies, common understanding of PDP among different industries and will promote efficient decision taking.

Dziedzina nauki (EuroSciVoc)

Klasyfikacja projektów w serwisie CORDIS opiera się na wielojęzycznej taksonomii EuroSciVoc, obejmującej wszystkie dziedziny nauki, w oparciu o półautomatyczny proces bazujący na technikach przetwarzania języka naturalnego. Więcej informacji: Europejski Słownik Naukowy.

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Program(-y)

Wieloletnie programy finansowania, które określają priorytety Unii Europejskiej w obszarach badań naukowych i innowacji.

Temat(-y)

Zaproszenia do składania wniosków dzielą się na tematy. Każdy temat określa wybrany obszar lub wybrane zagadnienie, których powinny dotyczyć wnioski składane przez wnioskodawców. Opis tematu obejmuje jego szczegółowy zakres i oczekiwane oddziaływanie finansowanego projektu.

Zaproszenie do składania wniosków

Procedura zapraszania wnioskodawców do składania wniosków projektowych w celu uzyskania finansowania ze środków Unii Europejskiej.

FP7-ICT-2009-5
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System finansowania

Program finansowania (lub „rodzaj działania”) realizowany w ramach programu o wspólnych cechach. Określa zakres finansowania, stawkę zwrotu kosztów, szczegółowe kryteria oceny kwalifikowalności kosztów w celu ich finansowania oraz stosowanie uproszczonych form rozliczania kosztów, takich jak rozliczanie ryczałtowe.

CP - Collaborative project (generic)

Koordynator

SIEMENS INDUSTRY SOFTWARE NV
Wkład UE
€ 168 533,00
Adres
INTERLEUVENLAAN 68
3001 Leuven
Belgia

Zobacz na mapie

Region
Vlaams Gewest Prov. Vlaams-Brabant Arr. Leuven
Rodzaj działalności
Private for-profit entities (excluding Higher or Secondary Education Establishments)
Linki
Koszt całkowity

Ogół kosztów poniesionych przez organizację w związku z uczestnictwem w projekcie. Obejmuje koszty bezpośrednie i pośrednie. Kwota stanowi część całkowitego budżetu projektu.

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