Konferenzbeitrag
Designing the data supply chain of a smart construction factory
Purpose: The purpose of this paper is to design a concept of the data supply chain of a smart construction factory by analyzing the information flow and Building Information Modeling (BIM) object data that are available through innovative identification technologies and communication systems. Furthermore, an appropriate system for controlling logistics processes is defined. Methodology: The approach is developed using the Digital Twin Concept Model. In the first step, the examined use case is evaluated and compared with the digital twin fulfillment requirements. Subsequently, the data supply chain is designed considering the three attributes conceptualization, comparison, and collaboration. Findings: The paper shows how the idea of a data supply chain of a smart factory can be transferred into the building industry. The digital core in terms of a data warehouse monitors material flows according to quantity, location and time and can help to pilot logistics processes. Originality: Smart factory research has predominantly focused on production processes of the biggest industries, without taking the building sector and externally required logistics into closer consideration. However, significant changes are expected as a result of the European Green Deal, which will change the entire industry as well as related logistics.
- Language
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Englisch
- Bibliographic citation
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hdl:10419/249608
- Classification
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Management
- Subject
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Advanced Manufacturing
Industry 4.0
- Event
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Geistige Schöpfung
- (who)
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Zander, Bennet
Lange, Kerstin
Haasis, Hans-Dietrich
- Event
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Veröffentlichung
- (who)
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epubli GmbH
- (where)
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Berlin
- (when)
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2021
- DOI
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doi:10.15480/882.3992
- Handle
- URN
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urn:nbn:de:gbv:830-882.0162065
- Last update
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10.03.2025, 11:44 AM CET
Data provider
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. If you have any questions about the object, please contact the data provider.
Object type
- Konferenzbeitrag
Associated
- Zander, Bennet
- Lange, Kerstin
- Haasis, Hans-Dietrich
- epubli GmbH
Time of origin
- 2021