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Moulds manufacturing: Process alert system for machine tool failure prevention and Smart process parameter tuning

Project: ZDMP

Updated at: 21-05-2021

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Pathways
Hyperconnected Factories Pathway
Comment:

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.

Dedicated IT connection to some supply chain partners
High level planning using dedicated digital connections
Comment:

ZDMP platform quality control services allows for FORM to timely react on the deviations within the manufacturing process. Depending on the data acquisition frequency and number of machine components the data size can reach up to 10MB per production hour. The recommendations generated by ZDMP platform can be utilized for actions planning towards quality improvement.

Electronic products manufacturing: Component inspection

Project: ZDMP

Updated at: 21-05-2021

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Pathways
Hyperconnected Factories Pathway
Comment:

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.

Dedicated IT connection to some supply chain partners
High level planning using dedicated digital connections
Comment:

The reports or feedback generated as result of the quality inspection is shared with material/component suppliers. Based on these reports further actions towards quality improvement can be undertaken.

Engine block manufacturing: Defects reduction by the optimization of the machining process

Project: ZDMP

Updated at: 21-05-2021

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Pathways
Hyperconnected Factories Pathway
Comment:

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.

Dedicated IT connection to some supply chain partners
High level planning using dedicated digital connections
Comment:

ZDMP platform intends to provide a secure and confident environment, where the industrial partners can exchange their data. The cylinder block manufacturer (FORD) provides the process data to the equipment supplier ETXE, the last, in its turn, provides recommendations on optimization of the production process (e.g. adjustment of parameters, etc.). Moreover, ZDMP platform aims at performing some reasoning actions to simplify the data exchange between the industrial partners.

Engine block manufacturing: Defects detection and prediction in aluminium injection and machining operations

Project: ZDMP

Updated at: 20-05-2021

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Pathways
Hyperconnected Factories Pathway
Comment:

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.

Dedicated IT connection to some supply chain partners
High level planning using dedicated digital connections
Comment:

ZDMP platform supports the industrial partners by collecting the process data from MRHS and FORD and providing reasoning to be able to detect and predict anomalies and provide some basic recommendation on improvement of the manufacturing process on the MRHS side. Both companies make use from this service, as they are long-term value-chain partners and interested in the costs and scrap output reduction resulting in the improved manufacturing process.

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