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Towards resilient enterprise architecture for predictive maintenance

  • Due to the consequential impact of technological breakdowns, companies have to be prepared to deal with breakdowns or even better prevent them. In today's information technology, several methods and tools exist to downscale this concern. Therefore, this paper deals with the initial determination of a resilient enterprise architecture supporting predictive maintenance in the information technology domain and furthermore, concerns several mechanisms on how to reactively and proactively secure the state of resiliency on several abstraction levels. The objective of this paper is to give an overview on existing mechanisms for resiliency and to describe the foundation of an optimized approach, combining infrastructure and process mining techniques.

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Metadaten
Name:Boer, Marcel; Krämer, Mario; Noack, Philipp; Weiss, Jan Niclas; Zimmermann, Alfred
ISBN:978-381-13-8565-0
Erschienen in:Innovation in medicine and healthcare systems, and multimedia : proceedings of KES-InMed-19 and KES-IIMSS-19 conferences. - (Smart innovation, systems and technologies ; Volume 145)
Publisher:Springer
Place of publication:Cham
Editor:Yen-Wei Chen, Alfred Zimmermann
Document Type:Conference Proceeding
Language:English
Year of Publication:2019
Tag:digital enterprise architecture; enterprise architecture mining; enterprise pattern; predictive maintenance
Pagenumber:11
First Page:381
Last Page:391
Catalogue entry:Im Katalog der Hochschule Reutlingen ansehen
Dewey Decimal Classification:330 Wirtschaft
Open Access:Nein