Project: DIGICOR
Updated at: 29-04-2024
Project: COMPOSITION
Updated at: 29-04-2024
Project: COMPOSITION
Updated at: 29-04-2024
Project: NIMBLE
Updated at: 29-04-2024
Project: NIMBLE
Updated at: 29-04-2024
Project: NIMBLE
Updated at: 29-04-2024
Project: MARKET4.0
Updated at: 12-01-2024
Updated at: 18-02-2023
Project: ZDMP
Updated at: 21-05-2021
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.
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.
Project: ZDMP
Updated at: 21-05-2021
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.
The usage of ZDMP platform in conjunction with the X-Ray machine allows to automate the quality check process and to improve the inspection scope (as before only few items from each lot of materials/components are checked on compliance with specification due to time constraints). The new approach allows extending the number of inspected parts, only requiring operator involvement, when the deviations from specifications are detected.
Project: ZDMP
Updated at: 21-05-2021
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.
Project: ZDMP
Updated at: 21-05-2021
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.
ZDMP platform assists the internal quality check system. The quality check stations along the assembly line provide the images for optical quality control. These data along with quality test results are accumulated and analysed by ZDMP platform, and the feedback is generated.
Project: ZDMP
Updated at: 21-05-2021
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.
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.
Project: ZDMP
Updated at: 20-05-2021
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.
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.
Project: ZDMP
Updated at: 20-05-2021
The stages of production process are tightly interconnected. If ZDMP platform detects the wearing out of the cutting blades, the production process has to be stopped not to possibly waste the material. Or, if some natural defect of material is being detected, it can be still possible to use the material through adjustment of the moulds and avoid the defected part.
Project: ZDMP
Updated at: 20-05-2021
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.
Project: ZDMP
Updated at: 20-05-2021
Updated at: 26-04-2021
Project: DIGICOR
Updated at: 18-12-2019
Project: DIGICOR
Updated at: 18-12-2019
Project: DIGICOR
Updated at: 18-12-2019
Project: DIGICOR
Updated at: 18-12-2019
Updated at: 04-12-2019
Updated at: 14-08-2019
Updated at: 09-08-2019
Updated at: 09-08-2019
Updated at: 09-08-2019
Updated at: 09-08-2019
Updated at: 08-08-2019
This report describes the results of Task 6.5 Brokering and Matchmaking for Efficient Management of Manufacturing Processes from M5 to M34. The Matchmaker is a core component of the COMPOSITION Collaborative Ecosystem, providing matching of buyers and sellers in the supply chain,based on services and their capabilities. Moreover, the Matchmaker provides aranking of offers during marketplace agents’ negotiations.