Big Data in the Metal Processing Value Chain: A Systematic Digitalization Approach under Special Consideration of Standardization and SMEs
Within the rise of the fourth industrial revolution, the role of Big Data became increasingly important for a successful digital transformation in the manufacturing environment. The acquisition, analysis, and utilization of this key technology can be defined as a driver for decision-making support,...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-09-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/11/19/9021 |
| _version_ | 1797516878869954560 |
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| author | Marcel Sorger Benjamin James Ralph Karin Hartl Manuel Woschank Martin Stockinger |
| author_facet | Marcel Sorger Benjamin James Ralph Karin Hartl Manuel Woschank Martin Stockinger |
| author_sort | Marcel Sorger |
| collection | DOAJ |
| description | Within the rise of the fourth industrial revolution, the role of Big Data became increasingly important for a successful digital transformation in the manufacturing environment. The acquisition, analysis, and utilization of this key technology can be defined as a driver for decision-making support, process and operation optimization, and therefore increase the efficiency and effectiveness of a complete manufacturing site. Furthermore, if corresponding interfaces within the supply chain can be connected within a reasonable effort, this technology can boost the competitive advantage of all stakeholders involved. These developments face some barriers: especially SMEs have to be able to be connected to typically more evolved IT systems of their bigger counterparts. To support SMEs with the development of such a system, this paper provides an innovative approach for the digitalization of the value chain of an aluminum component, from casting to the end-of-life recycling, by especially taking into account the RAMI 4.0 model as fundament for a standardized development to ensure compatibility within the complete production value chain. Furthermore, the key role of Big Data within digitalized value chains consisting of SMEs is analytically highlighted, demonstrating the importance of associated technologies in the future of metal processing and in general, manufacturing. |
| first_indexed | 2024-03-10T07:07:02Z |
| format | Article |
| id | doaj.art-c0df7d95dcc042398b1e852d1276ae2e |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-03-10T07:07:02Z |
| publishDate | 2021-09-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-c0df7d95dcc042398b1e852d1276ae2e2023-11-22T15:46:33ZengMDPI AGApplied Sciences2076-34172021-09-011119902110.3390/app11199021Big Data in the Metal Processing Value Chain: A Systematic Digitalization Approach under Special Consideration of Standardization and SMEsMarcel Sorger0Benjamin James Ralph1Karin Hartl2Manuel Woschank3Martin Stockinger4Metal Forming, Montanuniversität Leoben, Franz Josef Strasse 18, 8700 Leoben, AustriaMetal Forming, Montanuniversität Leoben, Franz Josef Strasse 18, 8700 Leoben, AustriaMetal Forming, Montanuniversität Leoben, Franz Josef Strasse 18, 8700 Leoben, AustriaIndustrial Logistics, Montanuniversität Leoben, Erzherzog Johann-Strassße 3/1, 8700 Leoben, AustriaMetal Forming, Montanuniversität Leoben, Franz Josef Strasse 18, 8700 Leoben, AustriaWithin the rise of the fourth industrial revolution, the role of Big Data became increasingly important for a successful digital transformation in the manufacturing environment. The acquisition, analysis, and utilization of this key technology can be defined as a driver for decision-making support, process and operation optimization, and therefore increase the efficiency and effectiveness of a complete manufacturing site. Furthermore, if corresponding interfaces within the supply chain can be connected within a reasonable effort, this technology can boost the competitive advantage of all stakeholders involved. These developments face some barriers: especially SMEs have to be able to be connected to typically more evolved IT systems of their bigger counterparts. To support SMEs with the development of such a system, this paper provides an innovative approach for the digitalization of the value chain of an aluminum component, from casting to the end-of-life recycling, by especially taking into account the RAMI 4.0 model as fundament for a standardized development to ensure compatibility within the complete production value chain. Furthermore, the key role of Big Data within digitalized value chains consisting of SMEs is analytically highlighted, demonstrating the importance of associated technologies in the future of metal processing and in general, manufacturing.https://www.mdpi.com/2076-3417/11/19/9021Big DataIndustry 4.0Cyber-Physical Production SystemIndustrial Internet of ThingsdigitalizationRAMI 4.0 |
| spellingShingle | Marcel Sorger Benjamin James Ralph Karin Hartl Manuel Woschank Martin Stockinger Big Data in the Metal Processing Value Chain: A Systematic Digitalization Approach under Special Consideration of Standardization and SMEs Applied Sciences Big Data Industry 4.0 Cyber-Physical Production System Industrial Internet of Things digitalization RAMI 4.0 |
| title | Big Data in the Metal Processing Value Chain: A Systematic Digitalization Approach under Special Consideration of Standardization and SMEs |
| title_full | Big Data in the Metal Processing Value Chain: A Systematic Digitalization Approach under Special Consideration of Standardization and SMEs |
| title_fullStr | Big Data in the Metal Processing Value Chain: A Systematic Digitalization Approach under Special Consideration of Standardization and SMEs |
| title_full_unstemmed | Big Data in the Metal Processing Value Chain: A Systematic Digitalization Approach under Special Consideration of Standardization and SMEs |
| title_short | Big Data in the Metal Processing Value Chain: A Systematic Digitalization Approach under Special Consideration of Standardization and SMEs |
| title_sort | big data in the metal processing value chain a systematic digitalization approach under special consideration of standardization and smes |
| topic | Big Data Industry 4.0 Cyber-Physical Production System Industrial Internet of Things digitalization RAMI 4.0 |
| url | https://www.mdpi.com/2076-3417/11/19/9021 |
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