AUTOWARE | Wireless Autonomous, Reliable and Resilient ProductIon Operation ARchitecture for Cognitive Manufacturing
01-10-2016
-30-09-2019
01-10-2016
-30-09-2019
01-09-2016
-30-11-2019
01-09-2014
-17-11-2016
01-09-2016
-31-08-2019
The COMPOSITION Integrated Information Management System will be a digital automation framework that optimises the manufacturing processes by exploiting existing data, knowledge and tools, integrating them with newly installed cyber physical systems (CPS) and automation software, in order to increase productivity and to allow for dynamic adaptation to changing market requirements. CPS using IoT devices such as wireless sensors nodes (WSN) can be easily retrofitted to existing equipment and infrastructure to gather sensory data and detect anomalies as well as opportunities to improve productivity and cvcle time.
Human-machine interaction is put in the center, supporting the decision making process.
01-10-2016
-30-09-2019
01-10-2016
-31-10-2019
01-10-2016
-30-09-2019
Daedalus technology (as any other to deploy Industry 4.0-ready automation) absolutely needs a change of perspective and culture in users of such technology (all automation stakeholders)
01-10-2016
-30-09-2019
DIGICOR supports economic sustainability of small but innovative SMEs by enabling them to form agile supply networks that compete with large manufacturers or suppliers. The DIGICOR platform enable companies to identify suitable market opportunities (e.g. OEM tenders advertised on DIGICOR Marketplace) and address those opportunities by forming dynamic partnerships. The collaboration tools provided by the DIGICOR platform ensure complete visibility and governance of the collaborative activities being carried out across partner facilities in the network. By providing information about new business opportunities and allowing companies to participate in multiple supply networks, DIGICOR supports the economic sustainability of ambitious companies in the manufacturing domain.
DIGICOR will offer operative support tools to support human-machine interactions in the production environment. Such tools will allow rescheduling at a fine-grained granularity (operations and human/non-human resources) to mitigate the impact of disruptive events. Moreover, the DIGICOR platform will offer human-centric interfaces for planning and operational control of collaborative activities. The interfaces of DIGICOR tools and services will also follow user-centric design approach.
01-09-2016
-31-08-2019
01-10-2016
-30-09-2019
COROMA system reduces the time of operation, through the use of well defined functional modules able to address different manufacturing. Furthermore, it reduces the time devoted to worpiece set-up.
Clear examples are the end user main machining scenarios, where COROMA system must automatically find, localice, and identify the workpiece, automatically generatig the trajectories for the specific operation.
The same characteristics that allow COROMA to reduce the lead time provide the system with a grater flexibility. The capablilty to localice the workpiece and to adapt to certain extent the operation to its specific geometry alloews the system to transform worpiees with differetn sizes and geometry.
In addition to this, the capability to learn from previous operations provides an extra in its flexibility.
COROMA robotic system carries out operations potentially dangerous for human health:
- repetitive tasks,
- tasks in difficult-to-reach areas of big workpieces,
- long-last machining operations on unhealthy materials
On the other hand, safety fuctionality (while navigating or working near an operators) allows a non risky interation with humans.
01-10-2016
-30-09-2019
01-10-2016
-31-03-2021
01-10-2016
-31-03-2020
user interfaces targeting various user groups:
01-10-2016
-30-09-2019
01-10-2016
-31-03-2020
MANUWORK aims to design the workplace of the future where the tasks are allocated to the production line operators based on their skills while also increasing their capabilities through Human-Robot Collaboration and Augmented Reality instructions
01-10-2016
-30-09-2019
01-10-2016
-30-09-2020
01-11-2015
-31-10-2017
01-10-2017
-31-03-2021
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:
PROGRAMS solution will increase accident mitigation capability”
01-05-2015
-31-07-2018
01-10-2016
-30-09-2019
01-10-2016
-31-03-2021
01-10-2016
-29-02-2020
01-11-2016
-31-01-2020
Additive Manufacturing replaces the need for wet processes which consume water and pollute the environment
01-10-2016
-31-03-2020
The solution provided byZ-Fact0r reduces the number of scrapped parts at different steps of the production process. The use of just the needed amount of raw materials is thus a consequence of applying Z-Fact0r, but it has manifold repercussions, as there is reduction of wear of equipment and tools by doing it right the first time. It also eliminates the duplication of auxiliary materials needed to produce the parts.
The Z-Fact0r platform, and the intensive monitoring of both product and process that accompanies it, has been key for the reduction of defective manufactured parts at the flute grinding process. Should similar solutions be implemented in the rest of machines at NECO premises with a defective rate reduction of around 25%, some 20.000€ could be saved by NECO yearly in the form of raw materials (outside-diameter-grinded High Speed Steel bars), which would instead require to be recycled. Furthermore, if the cutting angle happens to be wrong, the parts cannot be remanufactured and need to be scrapped.
The Z-Fact0r solution contributes to prevent defective parts to be sintered and reduces the number of defects during the machining of sintered parts. Most of the defective, very hard components, cannot be recovered by further machining or by healing operations and must thus be fully scrapped. Besides these recyclable materials there are also losses on the different production steps: from milling, spray drying, pressing, green machining and sintering.
With lesser defective part manufacturing, in the same proportion as HSS (raw material), oil consumption from the grinding machine (used as a coolant and in order to reduce friction between the tool and the part) is reduced, and the abrasive material waste generated from the cutting tool is also reduced, something which comes along with the oil as waste waters. Also, further upstream, the usage of salts for the heat treatment process also diminishes.
The reduction of the defective rate in the flute grinding process is key, due to this part of the manufacturing chain being the one with the higher proportion of scrapped parts. The time working on the reworking of the parts or the manufacturing of new, “extra” ones, inside a certain batch, multiplied by the hourly cost of the machines would be the numerical estimation of the saved energy, which, of course, is proportional to CO2 emissions. However, the flute grinding process is not the process with the most energy consumption, but it is, by far, the heat treatment (which is located upstream and, thus, the reduction of the defective in this particular process where the NECO pilot focuses would also impact on the energy saving of the machines and processes that come before).
Obtaining the part with the right specifications at the first attempt means that the energy consumption will be at its lowest. The confidence Z-Fact0r solution brings also allows us to work with closer tolerances, less excesses of material, and thus less re-working time throughout the production steps.
01-10-2016
-31-10-2019
vf-OS as an operating system is addressed to be used by humans on stations, work centers and enterprises. Due to its collaborative nature and the app store nature, vf-OS platform will cover human interacting on a connected world of manufacturing and logistic enterprises.
01-01-2017
-30-06-2020
01-10-2016
-30-09-2019
01-09-2017
-28-02-2021
The economic impact of UPTIME is the most important one and can be seen at 2 levels :
The concept of fully automated production systems is no longer a viable vision. High reactivity, agility and adaptability that is required by modern production systems, can only be reached by human operators with their immense cognitive capabilities. New concepts are required, that apply these cognitive principles to support autonomy in the planning processes and control systems of production systems.