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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.
Author of HS Reutlingen | Boer, Marcel; Krämer, Mario; Noack, Philipp; Weiss, Jan Niclas; Zimmermann, Alfred |
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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 ZimmermannORCiD |
Document Type: | Conference proceeding |
Language: | English |
Publication year: | 2019 |
Tag: | digital enterprise architecture; enterprise architecture mining; enterprise pattern; predictive maintenance |
Page Number: | 11 |
First Page: | 381 |
Last Page: | 391 |
PPN: | Im Katalog der Hochschule Reutlingen ansehen |
DDC classes: | 330 Wirtschaft |
Open access?: | Nein |