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Difference between revisions of "BaSyx / Reference Projects"
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'''Retrofitting of legacy machines''' | '''Retrofitting of legacy machines''' | ||
− | ''"BaSys bringt uns Struktur in unseren Prozessparametersalat. [BaSys brings structure to our process parameter salad.]" | + | ''"BaSys bringt uns Struktur in unseren Prozessparametersalat. [BaSys brings structure to our process parameter salad.]" |
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- Marcel Kettering, Business Manager, WICO Textilbeschichtung und -kaschierung GmbH'' | - Marcel Kettering, Business Manager, WICO Textilbeschichtung und -kaschierung GmbH'' | ||
− | During production, shopfloor machines generate valuable process information which helps manufacturers in decision-making. However, one of the challenges is to make the data accessible from | + | During production, shopfloor machines generate valuable process information which helps manufacturers in decision-making. However, one of the challenges is to make the data accessible from legacy machines. The Arendar IoT-Gateway collects "live" process information from the shopfloor machines and makes it available for further processing. In this project, the Basys-native Arendar enables networking of machines and processes which facilicates a point-to-point communication with other IT-systems. The digitalization of production processes provides holistic live process images to decition-makers who use them to identify and resolve problems faster. With the continuous process monitoring, manufacturers can detect machine failures earlier, control product quality during the production and perform real-time decision-making. Consequently, this improves the market responsiveness, reduces the maintenance costs and increases the production efficiency. |
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Revision as of 11:40, 3 December 2020
Retrofitting of legacy machines "BaSys bringt uns Struktur in unseren Prozessparametersalat. [BaSys brings structure to our process parameter salad.]" - Marcel Kettering, Business Manager, WICO Textilbeschichtung und -kaschierung GmbH During production, shopfloor machines generate valuable process information which helps manufacturers in decision-making. However, one of the challenges is to make the data accessible from legacy machines. The Arendar IoT-Gateway collects "live" process information from the shopfloor machines and makes it available for further processing. In this project, the Basys-native Arendar enables networking of machines and processes which facilicates a point-to-point communication with other IT-systems. The digitalization of production processes provides holistic live process images to decition-makers who use them to identify and resolve problems faster. With the continuous process monitoring, manufacturers can detect machine failures earlier, control product quality during the production and perform real-time decision-making. Consequently, this improves the market responsiveness, reduces the maintenance costs and increases the production efficiency. | ||||||||||
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Service-oriented production in a gear manufacturing line Lorem ipsum dolor sit amet, consectetuer adipiscing elit, sed diam nonummy nibh euismod tincidunt ut laoreet dolore magna aliquam erat volutpat. Ut wisi enim ad minim veniam, quis nostrud exerci tation ullamcorper suscipit lobortis nisl ut aliquip ex ea commodo consequat. Duis autem vel eum iriure dolor in hendrerit in vulputate velit esse molestie consequat, vel illum dolore eu feugiat nulla facilisis at vero eros et accumsan et iusto odio dignissim qui blandit praesent luptatum zzril delenit augue duis dolore te feugait nulla facilisi. |
Integration of a PLM System (BaSysPLM) "Eclipse BaSyx with its interoperable architecture enables us and our customers to bring product data directly from product development to manufacturing. This is relevant for highly variable Configure-to-Order products (-> lot size 1). Also feedback from the shop floor to the engineering (product type) as well as to single products (instances -> Digital Twins) can be realized." - Christian Muggeo, Team Lead Product Management, CONTACT Software GmbH
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BaSyx Edge Device Lorem ipsum dolor sit amet, consectetuer adipiscing elit, sed diam nonummy nibh euismod tincidunt ut laoreet dolore magna aliquam erat volutpat. Ut wisi enim ad minim veniam, quis nostrud exerci tation ullamcorper suscipit lobortis nisl ut aliquip ex ea commodo consequat. Duis autem vel eum iriure dolor in hendrerit in vulputate velit esse molestie consequat, vel illum dolore eu feugiat nulla facilisis at vero eros et accumsan et iusto odio dignissim qui blandit praesent luptatum zzril delenit augue duis dolore te feugait nulla facilisi. |
Information exchange with digital twins Lorem ipsum dolor sit amet, consectetuer adipiscing elit, sed diam nonummy nibh euismod tincidunt ut laoreet dolore magna aliquam erat volutpat. Ut wisi enim ad minim veniam, quis nostrud exerci tation ullamcorper suscipit lobortis nisl ut aliquip ex ea commodo consequat. Duis autem vel eum iriure dolor in hendrerit in vulputate velit esse molestie consequat, vel illum dolore eu feugiat nulla facilisis at vero eros et accumsan et iusto odio dignissim qui blandit praesent luptatum zzril delenit augue duis dolore te feugait nulla facilisi. |
Experiment with BaSyx Lorem ipsum dolor sit amet, consectetuer adipiscing elit, sed diam nonummy nibh euismod tincidunt ut laoreet dolore magna aliquam erat volutpat. Ut wisi enim ad minim veniam, quis nostrud exerci tation ullamcorper suscipit lobortis nisl ut aliquip ex ea commodo consequat. Duis autem vel eum iriure dolor in hendrerit in vulputate velit esse molestie consequat, vel illum dolore eu feugiat nulla facilisis at vero eros et accumsan et iusto odio dignissim qui blandit praesent luptatum zzril delenit augue duis dolore te feugait nulla facilisi. |
Weitere Projekte:
- Digitalization of manufacturing process
- Parameter optimization for car supply manufacturing
- Integration with ERP systems
- Integration with BPMN engine for automating the manufacturing process
- Process anomaly monitoring
- Events / Exceptions
- Messenger bots
- Process dashboard
- Bild Dashboard
- Nutzen: Prozessanalyse & Entscheidungsunterstützung
- Nur 27% Unternehmen im Mittelstand nutzen Daten als Entscheidungsgrundlage