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Designing the data supply chain of a smart construction factory

In: Adapting to the Future: How Digitalization Shapes Sustainable Logistics and Resilient Supply Chain Management. Proceedings of the Hamburg International Conference of Logistics (HICL), Vol. 31

Author

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  • Zander, Bennet
  • Lange, Kerstin
  • Haasis, Hans-Dietrich

Abstract

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.

Suggested Citation

  • Zander, Bennet & Lange, Kerstin & Haasis, Hans-Dietrich, 2021. "Designing the data supply chain of a smart construction factory," Chapters from the Proceedings of the Hamburg International Conference of Logistics (HICL), in: Kersten, Wolfgang & Ringle, Christian M. & Blecker, Thorsten (ed.), Adapting to the Future: How Digitalization Shapes Sustainable Logistics and Resilient Supply Chain Management. Proceedings of the Hamburg Internationa, volume 31, pages 41-62, Hamburg University of Technology (TUHH), Institute of Business Logistics and General Management.
    • Handle: RePEc:zbw:hiclch:249611
    DOI: 10.15480/882.3992
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    References listed on IDEAS

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    1. Zeki Murat Çınar & Abubakar Abdussalam Nuhu & Qasim Zeeshan & Orhan Korhan & Mohammed Asmael & Babak Safaei, 2020. "Machine Learning in Predictive Maintenance towards Sustainable Smart Manufacturing in Industry 4.0," Sustainability, MDPI, vol. 12(19), pages 1-42, October.
    2. Zander, Bennet & Lange, Kerstin & Haasis, Hans-Dietrich, 2020. "Impacts of a smart factory on procurement logistics," Chapters from the Proceedings of the Hamburg International Conference of Logistics (HICL), in: Kersten, Wolfgang & Blecker, Thorsten & Ringle, Christian M. (ed.), Data Science and Innovation in Supply Chain Management: How Data Transforms the Value Chain. Proceedings of the Hamburg International Conference of Lo, volume 29, pages 459-485, Hamburg University of Technology (TUHH), Institute of Business Logistics and General Management.
    3. A. J. H. Redelinghuys & A. H. Basson & K. Kruger, 2020. "A six-layer architecture for the digital twin: a manufacturing case study implementation," Journal of Intelligent Manufacturing, Springer, vol. 31(6), pages 1383-1402, August.
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    Advanced Manufacturing; Industry 4.0;

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