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Data-driven Failure Management: An Ontology-based Speech Recognition App for Failure Capturing in Manufacturing Processes

Research output: Contribution to book/conference proceedings/anthology/report › Conference contribution › Contributed › peer-review

Contributors

Philipp Scharfe - , Chair of Business Information Systems, esp. Business Engineering (TT) (Author)
Heiner Ludwig - , Chair of Material Handling (Author)
Katja Bley - , Chair of Business Information Systems, esp. Information Systems in Industry and Trade (Author)
Martin Wiener - , Chair of Business Information Systems, esp. Business Engineering (TT) (Author)
Thorsten Schmidt - , Chair of Material Handling (Author)

Details

Original language	English
Title of host publication	Proceedings of the 19th Conference of the Italian Chapter of AIS (ItAIS) & the 14th Mediterranean Conference on Information Systems (MCIS)
Place of Publication	Catanzaro
Publication status	Published - 2022
Peer-reviewed	Yes

External IDs

ORCID	/0000-0002-1484-7187/work/142243100
ORCID	/0000-0001-8365-8905/work/142247800
ORCID	/0000-0001-6006-2594/work/142254419

Keywords

Research priority areas of TU Dresden

DFG Classification of Subject Areas according to Review Boards

Subject groups, research areas, subject areas according to Destatis

Sustainable Development Goals

ASJC Scopus subject areas

Related content

Activities

Data-driven Failure Management: An Ontology-based Speech Recognition App for Failure Capturing in Manufacturing Processes

Scharfe, P. (Speaker), Ludwig, H. (Involved person), Bley, K. (Involved person), Wiener, M. S. T. (Involved person), Schmidt, T. (Involved person)

14 Oct 2022

Activity: Talk or presentation at external institutions/events › Talk/Presentation › Contributed

View all activities (1)