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Results:
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Results:
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.
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 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.
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.
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.
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.
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Results:
For the quality assessment and prediction service is crucial to aggregate the data from both the Martinrea Honsel (MRHS) and FORD industrial partners. The quality forecasting or prediction allows optimising and adjusting the production process to achieve better quality of the product – aluminium cylinder blocks, which is not possible or less accurate without digitalized data exchange between industrial partners.
In this use-case the main data supplier is the FORD manufacturing facility. The other industrial partner provides the services around the life cycle of the product (machining equipment) deployed within the FORD facility. These services are only possible under the extensive data exchange process between industrial partners (assistance from ZDMP platform), so that the ETXE – equipment manufacturer/supplier, can assist in terms of maintaining the quality of equipment operation.
The main data supplier is the FORM industrial partner. After the data are gathered, they are sent and stored within the ZDMP platform deployed outside of FORM. The data are critical to feed ZDMP platform providing the quality control services. Additionally, data can be shared with FIDIA equipment manufacturer to assist with equipment-related quality problems.
This use-case targets not only the quality assessment process within the CONT plant, but also can be used by the supply partners delivering material and components for the CONT, as the reports/feedback can be also shared with them.
In this use-case, besides the services providing performance check and quality control, ZDMP platform also enables communication of the workstations and the database keeping the relevant data.
This use-case has the goal to optimize the quality check process within the CONT assembly line. Data that are not utilized by the previous quality check process are used by ZDMP platform services to complement the process.
The tools provided by ZDMP are integrated with the steel tube machines automating some critical quality check tasks, while improving the overall quality control process.