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Flexibilization of complex Ecosystems using Democratic AI based Decision Support...

Flexibilization of complex Ecosystems using Democratic AI based Decision Support and Recommendation Systems at Work We provide a decision support system that (a) integrates digital twins to optimize the overall production process according multiple parameters, and (b) democratizes decision making granting human worker and machines a say during... ver más

31/08/2025

BOC PRODUCTS SERV...

3M€

Presupuesto del proyecto: 3M€

Líder del proyecto

BOC PRODUCTS SERVICES AG No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Fecha límite participación Sin fecha límite de participación.

Ver 9 Participantes

Financiación concedida El organismo HORIZON EUROPE notifico la concesión del proyecto el día 2022-06-14

HORIZON-CL4-2021-DIGITAL-EMERGING-01-12: European Network of Excellence Cent... Expected Outcome:Proposal results are expected to contribute to all the following expected outcomes:

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Características del participante

Este proyecto no cuenta con búsquedas de partenariado abiertas en este momento.

Información adicional privada

No hay información privada compartida para este proyecto. Habla con el coordinador.

9 Participantes

BOC PRODUCTS SERVICES AG

549.81K€ | Lider

JOANNEUM RESEARCH

413.38K€ | Participante

FLEXTRONICS INTERNATIONAL GM...

203.44K€ | Participante

OMILAB GGMBH

261.50K€ | Participante

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Duración del proyecto: 38 meses Fecha Inicio: 2022-06-14
Fecha Fin: 2025-08-31

Líder del proyecto

BOC PRODUCTS SERVICES AG No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Presupuesto del proyecto 3M€

Fecha límite de participación Sin fecha límite de participación.

Descripción del proyecto We provide a decision support system that (a) integrates digital twins to optimize the overall production process according multiple parameters, and (b) democratizes decision making granting human worker and machines a say during decision making. Each individual demand is consolidated to achieve a decision support, which is then optimized. We combine (a) model-based approaches to transparently design, simulate and improve decision making, (b) co-creation laboratory using models and physical experiments as communication media to all actors and, (c) reliability indication of data and AI algorithms. Those models can be assessed according legal, ethical, security and safety concerns and in case of approval ensure that only compliant models are used for decision making. Hybrid decision making is provided by combining human- and machine-centric knowledge representation into a holistic model. Simulations on time, cost, quality, safety or energy efficiency contribute to transparent decision making, which evolves via model changes. BOC provides graphical modelling enabling intuitive knowledge representations for humans. JOTNE provides data repositories for machines. JR provides data marketplaces and optimizations. MORE enable decentralized decision making with AI. RWTH provides both (a) AI and intuitive machine interaction and (b) social and ethical guidance for trustful decision making. The use cases of the car manufacturer CRF and the robot plant provider FLEX are challenged by human and machine interaction, complex environment interactions and influence factors requiring continuous re-arrangements. The challenge is to consider each actors needs in a concise and complex situation still targeting an overall optimization. The non-profit organization OMiLAB provides its world-wide network on modelling omilab.org, and interacts with DIH, PPP on AI, Data and Robotics and contribute with corresponding CSA as part of their mission.

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