SatisFactory | A collaborative and augmented-enabled ecosystem for increasing SATISfaction and working experience in smart FACTORY environments
01-01-2015
-31-12-2017
Projects overview
16 items found
ConnectedFactories | Industrial scenarios for connected factories
01-09-2016
-30-11-2019
Productive4.0 | Electronics and ICT as enabler for digital industry and optimized supply chain management covering the entire product lifecycle
01-05-2017
-31-10-2020
5G-Ensure | 5G Enablers for Network and System Security and Resilience
01-11-2015
-31-10-2017
PreCoM | Predictive Cognitive Maintenance Decision Support System
01-11-2017
-28-02-2021
QU4LITY | Digital Reality in Zero Defect Manufacturing
01-01-2019
-31-07-2022
FACTS4WORKERS | Worker-Centric Workplaces in Smart Factories
01-12-2014
-30-11-2018
NIMBLE | Collaboration Network for Industry, Manufacturing, Business and Logistics in Europe
01-10-2016
-31-03-2020
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Pathways
Hyperconnected Factories Pathway
vf-OS | Virtual Factory Open Operating System
01-10-2016
-31-10-2019
MARKET4.0 | A Multi-Sided Business Platform for Plug and Produce Industrial Product Service Systems
01-11-2018
-30-04-2022
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Pathways
Hyperconnected Factories Pathway
Result items:
USE-IT-WISELY | Innovative continuous upgrades of high investment product-services
01-09-2013
-30-11-2016
COMPOSITION | Ecosystem for Collaborative Manufacturing Processes _ Intra- and Interfactory Integration and Automation
01-09-2016
-31-08-2019
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Pathways
Comment:
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.
Dedicated IT connection to some supply chain partners
Result items:
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.
DIGICOR | Decentralised Agile Coordination Across Supply Chains
01-10-2016
-30-09-2019
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Pathways
Hyperconnected Factories Pathway
Dedicated IT connection to some supply chain partners
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:
Result items:
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.
All workstations are connected to the driver layer allowing equipment to communicate with server line layer. The data extracted from the equipment are stored, used by services and made ready for visualization.
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.
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.
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.
Result items:
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.
Result items:
It is important, not only for the construction company, but also for the material suppliers to track the amount of shipped materials and quality, and, if needed, coordinate and adjust activities.
ZDMP platform, acquiring data from FORM, provides predictive services related to, for instance, equipment degradation dynamics (especially moving parts of the machine) to be able to timely react and replace or fix the corresponding part.
DigiPrime | Digital Platform for Circular Economy in Cross-sectorial Sustainable Value Networks
01-01-2020
-31-12-2023
EFPF (European Factory Platform) | European Connected Factory Platform for Agile Manufacturing
01-01-2019
-31-12-2022
In this project, hyperconnectivity in factories is achieved by enabling IoT in training procedures, product development Life-Cycle and design for Manufacturing and assembly. Moreover, there is knowledge sharing via collaboration platform and virtual simulation of production line which offer intelligence in an "hyperconnected way".