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OPTIMISED

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Operational Planning Tool Interfacing Manufacturing Integrated Simulations with...

Operational Planning Tool Interfacing Manufacturing Integrated Simulations with Empirical Data OPTIMISED aims to develop novel methods and tools for deployment of highly optimised and reactive planning systems that incorporate extensive factory modelling and simulation based on empirical data captured using smart embedded s... ver más

31/10/2018

Laing O'Rourke

7M€

Presupuesto del proyecto: 7M€

Líder del proyecto

LAING O ROURKE PLC 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 13 Participantes

Financiación concedida El organismo H2020 notifico la concesión del proyecto el día 2018-10-31

FoF-08-2015: ICT-enabled modelling, simulation,... Scope:Specific challenge: Simulating continuous and discrete manufacturing processes, forecasting th...

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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.

13 Participantes

Laing O'Rourke

2.11M€ | Lider

SIMPLAN

892.78K€ | Participante

SGSL

675.12K€ | Participante

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Duración del proyecto: 37 meses Fecha Inicio: 2015-09-11
Fecha Fin: 2018-10-31

Líder del proyecto

LAING O ROURKE PLC No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Presupuesto del proyecto 7M€

Fecha límite de participación Sin fecha límite de participación.

Descripción del proyecto OPTIMISED aims to develop novel methods and tools for deployment of highly optimised and reactive planning systems that incorporate extensive factory modelling and simulation based on empirical data captured using smart embedded sensors and pro-active human-machine interfaces. The impact of energy management on factory planning and optimisation will be specifically assessed and demonstrated to reduce energy waste and address peak demand so that operations that require or use less energy, can allow this excess energy to be re-routed to local communities. The OPTIMISED environment will use semantically enriched process modelling, big-data generation, capture and perform analytics to effectively support planning specialists, manufacturing engineers, team leaders and shopfloor operatives throughout the systems lifecycle. These next generation manufacturing systems supported by data rich manufacturing execution systems with OPTIMISED technology will support a dramatic improvement in system performance, improved operational efficiency and equipment utilisation, real-time equipment and station performance monitoring, adaptation and resource optimisation. The OPTIMISED vision will be achieved by developing systems which are able to: 1. Monitor system performance through an integrated sensor network, automatically detecting bottlenecks, faults and performance drop-off 2. Continuously evolve to respond to disruptive events, supply chain disruptions and non-quality issues through factory simulation modelling 3. Improve understanding and monitoring of energy demand curve and energy usage per industrial process and globally improve efficiency of production line through reduced energy waste 4. Understand potential benefits, added value and impacts of participating in Demand Side Response (DSR) processes and becoming an active player in the changing energy industry, instead of remaining a conventional passive element that simply acquires a service from energy providers

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