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Closed-loop digital pipeline for a flexible and modular manufacturing of large components

Project description

New planning for large-part manufacturing

Machining large parts requires more than just a lot of space. There is also a variety of sub-assemblies and the capability to customise (build to customer demands). This high degree of personalisation hinges on the design and the posterior verification after manufacturing. With this in mind, the EU-funded PENELOPE project will develop a methodology linking product-centric data management and production planning and scheduling in a closed-loop digital pipeline. The aim is to ensure accurate and precise manufacturability from the initial product design. The project is built to develop the methodology and vision in the following sectors: oil and gas, shipbuilding, aeronautics, and bus and coach. It will also provide the training enabling the workforce transition towards Industry 4.0.

Objective

The manufacturing of large-scale parts needs the implementation of a holistic data management and integrated automation methodology to achieve the desired levels of precision using modular and more flexible equipment.
Large-part manufacturing is characterized by the high customization required (built-customer specific). Also, manufacturing of complex large-scale parts involves a variety of subassemblies that must be manufactured and assembled. This high degree of personalization implies a great effort in the design and the posterior verification after manufacturing, to achieve high precision. On the other hand, this customised product-centric design requires an optimisation of the resources of the workshop –i.e. workers, machines, devices— for a responsive, reconfigurable and modular production, targeting the execution of key labour-intensive tasks by preserving industry-specific workers’ knowledge and skills (worker-centric approach).
PENELOPE proposes a novel methodology linking product-centric data management and production planning and
scheduling in a closed-loop digital pipeline for ensuring an accurate and precise manufacturability from the initial product design.
PENELOPE is built over five pillars for developing a common methodology and vision deployed in four industrial-driven pilot lines in strategic manufacturing sectors (Oil&Gas, Shipbuilding, Aeronautics and Bus&Coach) and with potential replicability to other sectors. Moreover, it will be set a pan-European network of Didactic Factories and showrooms, providing training and upskilling capabilities enabling the workforce transition towards Industry 4.0 and general-purpose testbeds for assisting in the industry adoption.
PENELOPE envision to highly-increase EU manufacturing sector competitiveness by increasing production performance, quality and accuracy while ensuring workers’ safety and resource efficiency.

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Keywords

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Programme(s)

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Topic(s)

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Funding Scheme

Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.

IA - Innovation action

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Call for proposal

Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.

(opens in new window) H2020-NMBP-TR-IND-2018-2020

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Coordinator

ASOCIACION DE INVESTIGACION METALURGICA DEL NOROESTE
Net EU contribution

Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.

€ 1 336 875,00
Address
CALLE RELVA TORNEIROS 27A
36410 Porrino
Spain

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Region
Noroeste Galicia Pontevedra
Activity type
Research Organisations
Links
Total cost

The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.

€ 1 336 875,00

Participants (39)

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