PROGRAMS | PROGnostics based Reliability Analysis for Maintenance Scheduling
01-10-2017
-31-03-2021
Projects overview
9 items found
Z-BRE4K | Strategies and Predictive Maintenance models wrapped around physical systems for Zero-unexpected-Breakdowns and increased operating life of Factories
01-10-2017
-31-03-2021
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Manufacturing performance characteristics
Comment:
Z-BRE4K heavily contributes to the economic sustainability of the manufacturing sector by deploying an advanced maintenance solution aimed to attain zero unexpected breakdowns. In this regard, Z-BRE4K will avoid fatal failures, thus minimizing the breakdown times and need for spare parts and overhauls and will estimate the remaining useful life of critical subsystems of machinery, lines and shopfloor so that maintenance operations can be scheduled and optimized.
ROSSINI | RObot enhanced SenSing, INtelligence and actuation to Improve job quality in manufacturing
01-10-2018
-31-03-2022
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Manufacturing performance characteristics
Comment:
Cobots and in general HRC solutions, which can be used for multiple functions due to their flexibility in deployment, offer higher returns on investment and faster payback, compared to legacy industrial robots. Moreover, cobots’ safety features and ease of use make integration and implementation less costly than the traditional industrial robots. In high-cost countries, having skilled human workers engaged in suitable configured manufacturing, assembly, finishing and inspection operations side by side with cobots is one of the most cost- effective ways to leverage the unique value-adding capabilities of a skilled human workforce
Comment:
ROSSINI delivers high performance HRC workcells, combining the safety of traditional cobots with the working speed and payloads of industrial robots, capable of optimising task execution. This triggers manufacturers’ investment in HRC technology, increasing European factories productivity and thus competitiveness versus low-cost manufacturers.
CoLLaboratE | Co-production CeLL performing Human-Robot Collaborative AssEmbly
01-10-2018
-31-03-2022
MARKET4.0 | A Multi-Sided Business Platform for Plug and Produce Industrial Product Service Systems
01-11-2018
-30-04-2022
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Manufacturing performance characteristics
Economic sustainability
Result items:
In two aspects: on the one hand productivity in the selection of the equipment (faster and reliable). On the other, productivity of the equipment in place thanks to specific services that analyse the productivity on eadh manufacturing process.
COALA | COgnitive Assisted agile manufacturing for a LAbor force supported by trustworthy Artificial Intelligence
01-10-2020
-30-09-2023
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Manufacturing performance characteristics
Comment:
COALA's three use cases (textile, white goods, liquid production) will evaluate the COALA solution in their manufacturing processes with significant economic value.
AI REGIO | Regions and DIHs alliance for AI-driven digital transformation of European Manufacturing SMEs
01-10-2020
-30-09-2023
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Manufacturing performance characteristics
Result items:
Result items:
OPTIMAL | Automated Maskless Laser Lithography Platform for First Time Right Mixed Scale Patterning
01-10-2022
-30-09-2026
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Manufacturing performance characteristics
Result items:
The OPTIMAL project will integrate for the first-time different laser lithography technologies, quality monitoring systems and processes in one platform for the development of structures with high depth, dimensions in the range from 100 nm to sub-mm, 2D&3D shape on flat surface, combining parallel & serial patterning, no need for external treatments on samples, increased speed and large area.
Result items:
BioStruct | Manufacturing process for bio-based fibre-reinforced composite parts for structural applications
01-01-2024
-31-12-2026
PROGRAMS solution will allow to gain a “10% increased in-service efficiency through reduced failure rates, downtime due to repair, unplanned plant or production system outages and extension of component life.”
•reduced failure rates:- analysis of real sensor data coupled with physically-based models allows to understand the real status of system components
- optimal maintenance strategies allows to perform maintenance before components crash
•reduced downtime due to repair:- precise determination of components RUL will allow to replace/repair components before critical downtime
- smart maintenance strategies allow to minimize maintenance impact on the production activities
•reduced unplanned plant/production system interruptions:- repair or replace of components before crash will lead to less unexpected components breakage
- rationalized maintenance crews deployments will reduce the number of unavailable spare parts or maintenance teams.
- shared maintenance information will reduce time for reacting to unplanned outages.
•extension of component lifeAll these aspects will reduce the costs related to maintenance activities, thus increasing the sustainability of the production process.