FACTS4WORKERS | Worker-Centric Workplaces in Smart Factories
01-12-2014
-30-11-2018
01-12-2014
-30-11-2018
01-01-2015
-31-12-2017
01-01-2015
-30-06-2018
01-12-2014
-30-11-2017
01-01-2015
-31-12-2017
01-04-2015
-31-03-2019
01-09-2015
-31-08-2018
12-01-2015
-31-05-2019
11-01-2015
-31-07-2020
09-01-2015
-31-08-2018
10-01-2015
-30-09-2018
11-01-2015
-28-02-2019
01-10-2016
-30-09-2019
01-10-2016
-29-02-2020
01-10-2016
-31-03-2021
01-10-2016
-30-09-2019
01-10-2016
-31-03-2020
The overall supervision and optimisation of the system is achieved after the execution of Z-MANAGE strategy. The defects are processed with Decision support system (DSS) tools and are interfaced with Manufacturing Execution Systems (MES). False positives and false negatives are clustered after each Z-Fact0r strategy, which results into a good filtering of these false alarms. To achieve so, the previous acquired knowledge and incidents are also processed to fine tune the system’s operation.
Additionally, the production is optimised by better scheduling, taking into account the environmental impact of each process. The optimised scheduling and adaptability of the manufacturing improves the overall flexibility, placing a premium on the production rates, satisfying the demand, while preserve increased machinery availability. Since, the Knowledge management system will tune the whole production according to certain quality levels and customer satisfaction, it is highly anticipated that the overall performance of the system will suffice the increased needs of the customers.
Z-Manage strategy involves also a Knowledge based decision support system which collects knowledge from all the components and the operators and therefore is able to suggest solution for the tuning the rest of the components.
The strategy involves also the decision making in the event of a defect. The defect will be analysed via the inspection system, from which the defect can be classified and categorised on its severity. In case of “repairable” defects the system will decide for the following; (i) rework on spot, (ii) removal from the production line for further inspection and rework. If the defect is classified as “non-repairable” then the system will decide whether (a) the product will be forwarded to upstream stages, or (b) considered as total failure where it will be recycled.
01-10-2016
-31-03-2021
01-11-2017
-28-02-2021
01-10-2017
-31-03-2021
01-10-2018
-31-03-2022
The ROSSINI modular KIT offers advance components for the different layers of a robotic application (sensing, perception, cognition, control, actuation and integration)
The ROSSINI Controller (CORE component of the ROSSINI Modular KIT) integrates a Semantic Scena Map, a Flexible layer (Scheduler) and an Execution layer (Motion Planner) to guarantee optimal efficiency of the robot (also considering Job Quality factors)
01-11-2015
-31-10-2017
01-06-2017
-31-05-2020
01-10-2020
-30-09-2023
Siemens TIA Portal, WinCC, PLCs – The lower level control of resources in the system was performed with Siemens brand programmable logic controllers
Nikon Adaptive Robotic Control (ARC) – this technology allows data from metrology systems to correct a robot controller’s coordinate system and compensate for inaccuracies and variability.
Siemens TIA Portal, WinCC, PLCs – The lower level control of resources in the system was performed with Siemens brand programmable logic controllers
Nikon Adaptive Robotic Control (ARC) – this technology allows data from metrology systems to correct a robot controller’s coordinate system and compensate for inaccuracies and variability.