Möhring, Michael and Schmidt, Rainer and Keller, Barbara and Sandkuhl, Kurt and Zimmermann, Alfred (2020) Predictive maintenance information systems : The underlying conditions and technological aspects. International Journal of Enterprise Information Systems, 16 (2). pp. 22-37.
Full text not available from this repository.Abstract
Predictive maintenance has the potential to improve the reliability of production and service provisioning. However, there is little knowledge about the proper implementation of predictive maintenance in research and practice. Therefore, we conducted a multi-case study and investigated underlying conditions and technological aspects for implementing a predictive maintenance system and where it leads to. We found that predictive maintenance initiatives are triggered by severe impacts of failures on revenue and profit. Furthermore, successful predictive maintenance initiatives require that pre-conditions are fulfilled: Data must be available and accessible. Very important is also the support by the management. We identified four factors important for the implementation of predictive maintenance. The integration of data is highly facilitated by Cloud-based mechanisms. The detection of events is enabled by advanced analytics. The execution of predictive maintenance operations is supported by data-driven process automation and visualization.
| Item Type: | Article |
|---|---|
| Depositing User: | Birger Lantow |
| Date Deposited: | 24 Jan 2021 13:14 |
| Last Modified: | 24 Jan 2021 13:14 |
| URI: | http://eprints.win.informatik.uni-rostock.de/id/eprint/828 |
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