Project: PSYMBIOSYS
Updated at: 29-04-2024
Project: PSYMBIOSYS
Updated at: 29-04-2024
Project: PSYMBIOSYS
Updated at: 29-04-2024
Project: QU4LITY
Updated at: 01-02-2024
In this use case, GHI and Innovalia will share data in a trust manner through an IDS connector, so that GHI will be able to find correlation between the quality of the parts and the furnace operation parameters.
Project: QU4LITY
Updated at: 01-02-2024
Project: OPTIMAL
Updated at: 30-01-2024
Project: MARKET4.0
Updated at: 12-01-2024
Project: SYMBIO-TIC
Updated at: 29-09-2022
Project: SYMBIO-TIC
Updated at: 29-09-2022
Project: BEinCPPS
Updated at: 29-09-2022
Updated at: 29-09-2022
Project: Digital Fibre Ecosystem
Updated at: 03-02-2022
Project: ZDMP
Updated at: 21-05-2021
The quality assessment of the products is performed by the FORM industrial partner that utilizes equipment delivered by FIDIA. Degradation in the equipment performance can cause significant quality drop on the FORM side. In order to avoid this, ZDMP platform aggregates the process and equipment data and performs analysis to identify the defects occurring, as well as to detect possible equipment degradation. Analysis of equipment degradation is preformed in cooperation with equipment suppliers.
In this case, the FORM industrial partner gets support from the ZDMP platform and the FIDIA equipment manufacturer. Thus, ZDMP platform provides FORM with the analytical tools for defects detection and prediction/prevention. On the other hand, FIDIA comes into play when non-trivial problems related to equipment behaviour occur.
The ZDMP platform acquires the process and equipment data from FORM and provides a set of innovative services, namely: (i) parameter adjustment, (ii) operator alerting in case of defect, (iii) correlation among various parameters related to equipment and parameters selected. In the case, when equipment manufacturers need to be involved in the problem solving, data can be securely shared through ZDMP platform.
Project: ZDMP
Updated at: 21-05-2021
During the production process, various deviations from the normal functioning of the machining equipment can arise in the given use-case. It is important that ETXE equipment manufacturer could provide a service addressing the whole life cycle of the product (machining equipment) supported by ZDMP platform. The service has the aim of keeping the high efficiency of the machines through detection of abnormalities and quick recovery to the efficient state.
The data generated within the FORD facility are shared with the equipment supplier ETXE with assistance of the ZDMP platform. The local instance of the ZDMP platform is hosted on the FORD side ensuring data protection and confidentiality, while the communication with ETXE is granted. The raw data, as well as aggregated knowledge by ZDMP platform are shared with ETXE for to introduce the recommendations on production process optimization.
Project: ZDMP
Updated at: 20-05-2021
Sse-cases offer an additional services for quality assessment and prediction based on the aggregated data from the participating industrial partners (Martinrea Honsel (MRHS) and FORD) that will be provided by the ZDMP platform. In this case, the service covers only specific product lifecycle stage, when the product – aluminium cylinder blocks, is produced and arrives at FORD to be used in engine production, as the defected blocks are filtered both at MRHS and FORD. Thus, the goal is to reduce the amount of defected parts through collaboration between two industrial partners.
In UC 1.1 / UC 1.2 use-cases, both industrial partners exchange the data from the various end devices (sensors) in order to achieve the cumulative effect in terms of defects reduction. Thus, the MRHS – supplier of aluminium cylinder blocks, can benefit from the data sharing between the MRHS and FORD to improve the quality of products needed for the engines assembly.
The service proposed doesn’t require big hardware installation, but rather makes use of the data gathered from already installed field level devices (sensors, smart meters, cameras) having the supportive or supplementary role in the production process. However, the added value is in reduction of the number of defected parts or products through extensive utilization of the data-rich environment.
Project: ZDMP
Updated at: 20-05-2021
This use-case offers additional update to the stone cutting machine through the cutting blades quality control, identifying wearing out. Moreover, the CEI machines allow users to customize the shape and form of products through different moulds and ZDMP provides support for more efficient material usage through more efficient projection of the moulds.
ZDMP platform makes use of variety of data acquired about machines operation and quality of material. In this way, it is possible to improve the efficiency of production process and reduce the scrap output that can be caused by degradation of equipment parts
Project: ZDMP
Updated at: 20-05-2021
The suppliers of material to the construction side should be able to timely deliver the data about the quality of materials and, if needed, provide a replacement avoiding significant delays. Even, if the quality of materials is according to specification, accidents leading to material defects can happen during the shipment or on the construction side. Thus, it is important to constantly track the situation to react on the changing circumstances. For the construction company, on the other, hand, is important to align the material shipments to keep up with the schedule.
The material manufacturer stores in the platform the information concerning the production of a specific lot. This information is automatically generated by the ZDMP platform applications or updated manually. The volume of data is considerable and, for construction materials, needs to be stored for the certain period of time defined by the legal prescriptions.
This use-case only includes only 3 industrial partners. However, the model is scalable and can be applied, to the case with more partners, for instance, the material suppliers. Moreover, different access levels and roles allow effectively regulate type and amount of information one or another partner can get access to.
Project: ZDMP
Updated at: 20-05-2021
In order to enable the required automation level for the quality check of the manufacturing process, the necessary equipment will be updated with the ZDMP tools and corresponding services.
Project: USE-IT-WISELY
Updated at: 22-03-2021
Project: ICP4Life
Updated at: 18-12-2019
Updated at: 09-08-2019
Updated at: 09-08-2019
Updated at: 09-08-2019
Updated at: 09-08-2019
Updated at: 08-08-2019
Updated at: 08-08-2019
As it is described on the Autonomous Smart Factories, in this use case, in addition to the tools that make possible to improve and optimize the manufacturing connected process, it also intends to highly reduce the defective manufacturing increasing the product lifecycle control loop, improving the manufacturing process thanks to the information provided through the product quality control process.