NIMBLE | Collaboration Network for Industry, Manufacturing, Business and Logistics in Europe
01-10-2016
-31-03-2020
01-10-2016
-31-03-2020
01-10-2016
-30-09-2019
01-10-2016
-31-03-2020
01-10-2016
-30-09-2020
01-09-2016
-31-05-2021
01-10-2016
-31-03-2020
Z-Fact0r is expected to support the transition to the so-called smart factories of the future. Smart factory is one equipped with technology that enables machine-to-machine and machine-to-human communication in tandem with analytical and cognitive technologies so that decisions are made correctly and on time. Factory automation, inparticular, implies a set of technologies and automatic control devices to enhance the productivity and quality of products and simultaneously decrease the production cost. It also entails the minimization of human intervention in the industry and ensures a superior performance as compared to humans. It comprises the use of computers, robots, control systems, and information technologies to handle industrial processes. Given the above definition, it is clear that the Z-Fact0r solution can be viewed as a factory automation tool, as it can significantly contribute to the integration and convergence of technologies for measurement and quality control, for data collection, storage and analysis at the factory level, aiming to guarantee high-quality of products without interfering, actually improving the production efficiency of the entire system. Since the concept of smart factories is under development and in practice a lot of changes are anticipated in this field in the near future, new markets may emerge or existing ones may shift to accommodate integrated and state of the art solutions, such as Z-Fact0r.
01-10-2016
-31-10-2019
01-10-2016
-30-09-2019
Through oinline monitoring an immediate reaction to quality problems is possible and the autonomy of the production line is increased.
Part flow simulation provides real-time feedback about the state of the production line and enables the evaluation of different strategies to optimize performance.
01-01-2017
-30-06-2020
01-11-2015
-31-10-2017
01-10-2017
-31-03-2021
01-05-2015
-31-07-2018
01-06-2017
-31-05-2020
01-10-2017
-31-03-2021
Z-Bre4k will provide a complete monitoring solution at component, machine and system level by combining the high capabilities and effectiveness in sensors and actuation, networking and computational power, utilisation of better and smarter technologies (e.g. material and tools). The latest technologies and algorithms will be utilized for adaptive systems while surpassing the fact that they are disjointed, overwhelmed by complexity, vulnerable to external influence and poor Predictive Capabilities.
A real-time adaptive simulator with high fidelity will be a demonstrator (remote or local) of the machine’s state, in which a fast-forward simulation mechanism (prognostic models) predicts the potential events of breakdown of components and machines. What-if capabilities will allow the maintenance planners to find the most effective and cost-efficient schedules for component replacement and maintenance plans.
Strategies to improve maintainability and increase operating life of production will be applied to update the existing and to develop a set of new strategies based on real data in order to improve maintainability and operating life of production systems. This approach will use a method to translate optimization objectives defined at production and factory levels, into optimized maintenance policies at asset/production process levels.
At the asset and machine level, the Z-BR3AK solution will perform a condition monitoring and generate health status reports. Attention will be given to the faults detection through FMEA analysis (FMECA) to allow remedial actions and synchronise the manufacturing process. The proposed engine will perform monitoring, inspection and control at component, machine, system and product level to issue warnings, alerts (e.g. about deviations from production and quality requirements), reports on (potential) failures or failure prone situations and pass related information to a higher-level Z-Bre4k DSS (for decision support at manufacturing and enterprise level).
01-10-2017
-30-09-2020
01-09-2017
-30-11-2022
01-11-2017
-30-04-2021