Closing the gap between smart manufacturing applications and data management

Marx E, Stierle M, Weinzierl S, Matzner M (2020)


Publication Language: English

Publication Type: Conference contribution, Conference Contribution

Publication year: 2020

Pages Range: 120-136

Conference Proceedings Title: Proceedings of the 15th International Conference on Wirtschaftsinformatik (WI)

Event location: Potsdam DE

URI: https://library.gito.de/2021/07/wi2020-community-tracks-9/

DOI: 10.30844/wi_2020_u1-marx

Abstract

Smart manufacturing refers to the intensified collaboration of machines, products, and people throughout the manufacturing and the supply chain. This facilitates innovative products, services, business models, and processes. Smart manufacturing is premised on emerging technologies such as cloud computing, mobile computing, the Internet of Things, data analytics, and artificial intelligence. A plethora of companies struggles with the implementation of corresponding applications. In research and practice, we see general data management approaches with primary attention on building architectures that are not tailored to fit a particular domain/ application scenario. However, a robust data management concept is vital, as smart manufacturing decisively depends on data. To address this substantial deficit, we conduct a comprehensive literature review, an expert workshop, and semi-structured expert interviews with one of the leading German automotive manufacturers. The result is a catalog of requirements and a framework for data management that fosters the implementation of smart manufacturing applications.

Authors with CRIS profile

How to cite

APA:

Marx, E., Stierle, M., Weinzierl, S., & Matzner, M. (2020). Closing the gap between smart manufacturing applications and data management. In Proceedings of the 15th International Conference on Wirtschaftsinformatik (WI) (pp. 120-136). Potsdam, DE.

MLA:

Marx, Emanuel, et al. "Closing the gap between smart manufacturing applications and data management." Proceedings of the International Conference on Wirtschaftsinformatik (WI), Potsdam 2020. 120-136.

BibTeX: Download