MERGING | Manipulation Enhancement through Robotic Guidance and Intelligent Novel Grippers
01-11-2019
-31-10-2023
01-11-2019
-31-10-2023
01-10-2020
-30-09-2023
The COALA solution will support the workers when performing process and product quality inspections with quality predictions and prescriptions for mitigation measures. The Augmented Manufacturing Analytics feature is A set of DIA functions interfacing the prescriptive quality analytics service connected to shop floor data sources. It will enable non-data-scientist workers to utilize and customize data analytics during product quality tests.
COALA will contribute in the ongoing discussion about AI ethics and potential standards, monitor the standardization potential for worker education under consideration of AI competencies, and will use and contribute to IT standards. We will take into account available IT-related standards and use them when applicable. This includes normative standards as set by ISO and its national bodies, which are of high importance to industrial companies. We will assess standards proposed by major influential de-facto standardization bodies like W3C, OASIS, and OMG. Standardization topics concern:
COALA solution for on-the-job-training using digital assistant allows the workers to meet the requirements of their work environtment: to be skilled and flexible. To keep up with continuously changing demands and to cope with altering product and process information, production workers need to adopt an approach that welcomes change. They need to be empowered by making customization transparent, enabling rapid adaptations, providing operational flexibility, and augmentation of their skills.
COALA aims to develop a cognitive advisor with dedicated human-assisted AI methods for enabling transfer of tacit knowledge of experts to novice workers. The transfer of tacit knowledge of production workers that grows with their experiences enabling them to cope with challenges of agile manufacturing.
For the change over time we expect a reduction of 15% to 30% by shortening the worker training time.
COALA is expected to impact on the productivity of employees involved in the quality detection
and repair as well as on reduction of the not detected defects delivered.
01-10-2020
-30-09-2023
01-11-2018
-30-04-2022
Several services in the M4.0 portal permit the analisis and optimization of the equipment parameters in order to produce zero defect parts.
M4.0 reduces the required time to select the most suitable equip0ment for a manufacturing process.
M4.0 is a holistic tool valid for all type of manufacturing processes (grinding, milling, bending, cutting, additive manufacturing….)
Connecting customers and providers
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.
The data transaction is reliable as it is based on IDS RA
Of products and services
01-11-2019
-30-04-2023
01-01-2020
-31-12-2023
The most relevant value-chain oriented services aim to:
01-01-2020
-31-12-2023
01-01-2019
-30-06-2023
01-01-2019
-31-12-2022
01-01-2019
-31-07-2022
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.
improve false positive rate by 20%. Measured as false positives rate, actual value is considered confidential.
Quality- Fall Off Rate, from 95% (as is) to 98,5% (to be)
Improve OEE (A) from 80% (as is) to 87% (to be)
Deviation on cycle-time, from 98% (as is) to 99% (to be)
01-10-2018
-31-03-2022
Expected impact: Demonstrating the potential to bring back production to Europe
Improvement of productivity in different assembly tasks:
i.Performing Car Starter Assembly
ii.Windshield visual quality check and preassembly
iii.Performing LCD TV Assembly
iv.Αircraft parts assembly
01-10-2018
-31-03-2022
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
ROSSINI develops a Design Level that allows users to follow and evaluate process designs on multiple dimensions, where job quality and related metrics are the primary outcomes together with productivity, product quality and cost
The joint action of the dynamic scheduler and of the dynamic planner can lead to a reduction of up to 45% of the overall task execution time
The workcells employing the ROSSINI human-robot mutual understanding framework can increase production flexibility by 5%.
HRC solutions make it possible to integrate production machinery, warehousing systems and production facilities into single human-centred cyber-physical systems. As such, the traditional frontier between the production and logistical tasks of manufacturing can be expected to become increasingly interconnected. Lastly, an increased uptake of HRC leads to a change in the robotics value chain itself. Suppliers, integrators and users are bound to collaborate more intensively which is already leading to new business models such as rental/leasing agreements, pay-on-production, predictive maintenance, etc.
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.
ROSSINI is expected to unleash new market opportunities for the consortium industrial partners, resulting in a total yearly turnover of worth 125M€ by 2027
01-10-2017
-31-03-2021
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It is expected that new nozzle design and thus new water quench will be available for the customers in 5 years time. It is expected that those new products will attract new clients: 5 new contracts in 1 year increasing to 10 new contracts in 5 years, which will increase the turnover of Ferram by 500k Euros in 1 year and 3,5 million Euros in 5 years after the experiment end.
IT4Innovations as DIH and resource provider is expecting the experiment to increase their innovation potential and improve their competitiveness. They are also expecting to increase the number of customers: It is expected that 2 new customers will be attracted due to new capabilities within 5 years after the experiment and will create new sources of revenue.
01-10-2017
-31-03-2021
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.
Z-BRE4K solution will guarantee the improved product quality since the machines will be stopped and the maintenance will be carried out before any failure occurs and defective products are manufactured.
By reducing failures, downtimes, unplanned outages the manufacturing will minimize the lead time and maximise the response time: stock-outs, lot processing delays, capacity bottlenecks will be avoided.
Once the Z-BRE4K system has evaluated an anomaly or a deterioration trend, the maintenance scheduling is optimized. Moreover, manufacturing machinery execution parameters can be adapted so that the remaining useful life of the incumbent system can be improved, providing Operations Managers with a flexible shopfloor.
One of the main advantages of Z-BRE4K is the Z-SYNCHRONIZE strategy that enhances the coordination of production planning, logistics and maintenance operations.
The minimization of downtimes and failures, the optimization of maintenance operations and the reduction of row material waste will lead to an increase the in-service efficiency by 26% and increased productivity.
01-09-2017
-31-08-2020
The economic impact of UPTIME is the most important one and can be seen at 2 levels :
01-11-2017
-31-10-2020
01-10-2017
-30-09-2020
SERENA aims towards the data-driven condition evaluation of machine and production equipment, which through machine learning techniques can provide insight in the remaining useful life of the equipment enabling the avoidance of production stops and thus reducing its overall costs. The combination of data-driven and physics based techniques is envisioned to increase the reliability of the prediction and contribute to a high perfromance production without undesired interruptions.
THe evalaution and assessment of the equipment condition through the predictive manitenance and data analytics of the SERENA project will move towards the preservation of the production equipment in normal workiong conditions ensuring high quality products.
SERENA solutions on predictive maintenance and maintenance-aware scheduling are expected to reduce the overall ratio of cost to perfromance by the on-time scheduling of maintenance operations with the minimum intervention to the production schedule.
01-10-2017
-30-09-2020
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:All these aspects will reduce the costs related to maintenance activities, thus increasing the sustainability of the production process.
Precise determination of the RUL of components will allow to replace them before their status degrades production equipment performances beyond unacceptable levels.
Reducing failure rates and production equipment unavailability will improve factory productivity.
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:
01-10-2016
-30-09-2020
01-10-2022
-30-09-2026
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.
01-01-2015
-01-01-2018
02-09-2013
-01-09-2017
01-09-2016
-31-08-2019
01-01-2015
-31-12-2017
01-01-2015
-01-01-2018
01-10-2012
-30-09-2015
01-12-2014
-01-12-2017
01-01-2015
-01-01-2018
01-10-2016
-30-09-2019
01-09-2016
-31-08-2019
COALA's three use cases (textile, white goods, liquid production) will evaluate the COALA solution in their manufacturing processes with significant economic value.