Project: ZDMP
Type: | Updated at: 20-05-2021
Engine block manufacturing: Defects detection and prediction in aluminium injection and machining operations
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Associated projects
Hyperconnected Factories Pathway
Specifics for Result UC1.1 / UC1.2 | Engine block manufacturing: Defects detection and prediction in aluminium injection and machining operations
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Digitalisation pathways
Demonstrator specific Kanban
Digitalisation pathways
Hyperconnected Factories Pathway
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Demonstrator specific Kanban
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.
Basic internal connectivity
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Demonstrator specific Kanban
ERP and SCM connected
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Dedicated IT connection to some supply chain partners
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Demonstrator specific Kanban
High level planning using dedicated digital connections
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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. |