USE-IT-WISELY | Innovative continuous upgrades of high investment product-services
01-09-2013
-30-11-2016
Projects overview
3 items found
COMPOSITION | Ecosystem for Collaborative Manufacturing Processes _ Intra- and Interfactory Integration and Automation
01-09-2016
-31-08-2019
ZDMP | Zero Defect Manufacturing Platform
01-01-2019
-30-06-2023
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Pathways
Result items:
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.
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 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.
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.
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.
Result items:
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.
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.
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.
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.
The concept of the hyperconnected factories is approached in the interfactory part of the project with connections between different links of the supply chain, using an agent-based marketplace.