ConnectedFactories | Industrial scenarios for connected factories
01-09-2016
-30-11-2019
Projects overview
8 items found
PROGRAMS | PROGnostics based Reliability Analysis for Maintenance Scheduling
01-10-2017
-31-03-2021
Show more information
Manufacturing performance characteristics
Comment:
PROGRAMS solutions will allow a more widespread adoption of predictive maintenance as a result of the demonstration of more accurate, secure and trustworthy techniques at component, machine and system level. In fact one of the biggest obstacles is getting people to change long-held maintenance practices. PROGRAMS will:
- Demonstrate that, when correctly applied, the LCC of machines and components actually decreases when using PdM based technology, while the machine availability increases.
- Provide an easy to install solution able to detect the deterioration of performance (at component, machine and system level) and manage maintenance accordingly.
- Implement SotA security layers, showing that the security of maintenance data transmission methods is on par with widespread and accepted communication protocols, like the ones used for e-commerce.
Show more information
Manufacturing performance characteristics
Economic sustainability
Result items:
KYKLOS 4.0 | An Advanced Circular and Agile Manufacturing Ecosystem based on rapid reconfigurable manufacturing process and individualized consumer preferences
01-01-2020
-31-12-2023
COALA | COgnitive Assisted agile manufacturing for a LAbor force supported by trustworthy Artificial Intelligence
01-10-2020
-30-09-2023
Show more information
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.
Comment:
- COALA solution aims to meet manufacturing requirements regarding, e.g. time criticality, reliability (e.g. deal with factory noise, number of defects), safety when giving advice to workers, and security in business environments.
- The COALA didactic concept will provide media materials, exercises, and competencies tests to teach factory workers and evaluate their learning progress regarding the opportunities, challenges (e.g. reliability, accuracy, and accountability of AI decisions), and risks (e.g. data security, ethical issues, and information quality) when working with AI-powered digital assistants.
MARKET4.0 | A Multi-Sided Business Platform for Plug and Produce Industrial Product Service Systems
01-11-2018
-30-04-2022
Show more information
Manufacturing performance characteristics
Economic sustainability
Result items:
The data transaction is reliable as it is based on IDS RA
AI REGIO | Regions and DIHs alliance for AI-driven digital transformation of European Manufacturing SMEs
01-10-2020
-30-09-2023
Show more information
Manufacturing performance characteristics
Result items:
Result items:
QU4LITY | Digital Reality in Zero Defect Manufacturing
01-01-2019
-31-07-2022
Show more information
Manufacturing performance characteristics
Result items:
Concerning the ecological and economic operation of a factory, data analytics tools in combination with simulation approaches can contribute to improved throughput, bottleneck-reduction, or both for the production line. Through the optimization of the processes, production execution on organization and logistic level can be optimized by reducing the amount of material within the system, the lead times, or both.
Process reliability - dependability - availability
Result items:
Improve OEE (A) from 80% (as is) to 87% (to be)
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.