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ZDMP | Zero Defect Manufacturing Platform

01-01-2019

-

30-06-2023

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Pathways
Hyperconnected Factories Pathway
Result items:
Assembly line: AI-supported optical defects detection
Assembly line: AI-supported optical defects detection

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.

Assembly line: monitoring and control system
Assembly line: monitoring and control system

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.

Construction supply chain: quality control at construction site and quality traceability
Construction supply chain: quality control at construction site and quality traceability
Electronic products manufacturing: Component inspection
Electronic products manufacturing: Component inspection

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.

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

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.

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

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.

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

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.

Steel tubes: production monitor
Steel tubes: production monitor

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.

Stone tiles: equipment wear detection
Stone tiles: equipment wear detection
Dedicated IT connection to some supply chain partners
Result items:
Construction supply chain: quality control at construction site and quality traceability
Construction supply chain: quality control at construction site and quality traceability
SCM - MES - ERP Software connected to SCM - MES - ERP software of suppliers or customers
Result items:
Construction supply chain: quality control at construction site and quality traceability
Construction supply chain: quality control at construction site and quality traceability

The material suppliers provide the product quality data, as well as data about material types and amount to be delivered. Thus, it is possible for construction to react in agile way and reschedule in the case of unexpected accidents.

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