Comment: FALCON will contribute to the transition towards new generations of products allowing a stage of contemporary production of new and old products. In this area, the provision of customisable product-services will allow "old" products to be extended with "new" services, enabling a contemporary production as described above. On the basis of product-usage information feedback, "old" products can be evolved throughout their lifecycles to incorporate changing customer requirements without the need for ramping up new product production facilities.
Comment: Real-time co-simulation methods will enable key stakeholders to simulate and forecast complex activities. Simulation will target increasing quality and flexibility as well as more efficient management of logistics by also decreasing service time and costs.
Comment: Using the COMPOSITION platform, companies will be able to enter a supply chain and broaden their clientele, thus improving their economic performance. The COMPOSITION Marketplace will facilitate matching of demand and supply across the supply chain. Buyers and sellers will have close to perfect knowledge of offers, with searchable, low latency access to information. Agent technology and automated matching of requests offers lowers transaction costs. By providing a common interface for entering the marketplace, the platform also lowers the barriers of entry. In economics terms, these are all prerequisites for competitive market (from which everyone benefits).
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 will develop a Design Level that will allow users to follow and evaluate process designs on multiple dimensions, where job quality and related metrics will be the primary outcomes together with productivity, product quality and cost
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 will lead 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 will deliver 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 will trigger 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
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.
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.
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.
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.
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.
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.
Working on an adaptive automation that meets changing production environment and human variability, automation that is introduced assessing sustainability (economic and social) aspects.
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.
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 life
Smart RULE algorithms will allow to exploit a component up to its full useful life
tuning of processing parameters allows to use equipment for a longer time
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.
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.
Comment: New Service-Oriented Business Models are supported by lifecycle extension of the products with reduced Total Cost of Ownership as the basis for long-term relationships with the customers. Stable and continuous cash flows from customers will guarantee economic sustainability.
